CHAPTER 4

Acceptable Robot Roles: At Home, in the Community, at the Store

We are approaching a time when machines will be able to outperform humans at almost any task. I believe that society needs to confront this question before it is upon us: if machines are capable of doing almost any work humans can do, what will humans do?

­—Moshe Vardi, Professor of Computer Science at Rice University

Chapter Overview

We begin this chapter with a review of when the experts believe robots will surpass humans on a variety of tasks. While there is significant disagreement among the experts, the general tendency is to believe robots will surpass humans on all tasks in roughly 45 years! We then explore public acceptance of robots performing a wide variety of tasks in the home, hotels, restaurants, stores, schools, and in the general community. Our survey results show that the majority of Americans are clear on what they will support robots doing over the next two decades (particularly low level support tasks and menial chores) and what they will not support robots doing (tasks involving the supervision of children, life and death decisions, or roles of authority). In each area we discuss what robots are currently doing and cases where there has been commercial success (such as most iRobot vacuums for help with household chores) and commercial failures, (such as Jibo) and where companies have, after some faltering, learned to find the right balance of robot incorporation (such as Japan’s Hotel Henn-na). We also explore how younger Americans and those paying more attention to recent robot advancements are more supportive of robots taking on a wider variety of tasks in the near future versus their older or less informed counterparts.

The Expert View: When Will Robots Surpass Human Capabilities?

What roles will we humans ask robots to play in society? As the opening quote from Professor Vardi demonstrates, many experts in the field of robotics and artificial intelligence believe robots will at some point be able to do almost everything better than humans. Should we move towards a world in which robots are doing pretty much all of society’s tasks, freeing up humans to do other things with their time? Or, even if robots are capable of doing more and more tasks for us, should we place limits on what we have them do? What roles will average consumers accept robots taking on?

We devoted one of our national surveys, involving 370 adult Americans, to this question. In the study, we asked respondents if they would trust robots taking on a variety of roles in the next 10 to 20 years. We emphasized we were not asking about roles robots could assume in the present day, but rather looking ahead to the next decade or two, given the expected advancements in robotics. We organized the tasks into the following settings: at home, at a hotel, at a restaurant, in a school, in a store, and in the community. We deal with health care settings separately in the next chapter.

Before we explore consumer trust in robots performing various tasks over the next two decades, it is helpful to ground ourselves in the timeline offered by experts regarding when we can expect robots to equal or surpass humans in their ability to perform certain functions. In 2016, Dr. Katja Grace of Oxford University and her research team conducted a survey of 352 experts in the field of artificial intelligence (AI). The survey asked these experts to offer their best estimate for when they believed AI would equal or surpass human capabilities on a variety of tasks.

The results show a fair amount of disagreement among the experts, with predictions varying significantly. However, by looking at the median responses we can get a generalized estimate of what these experts expect for the future. Interestingly, on average these experts believe artificial intelligence (which is the driving force behind the capabilities of advanced robots) will equal or surpass humans on many tasks before 2030—less than 10 years away. And, on average, these experts believe artificially intelligent devices will equal or surpass humans on all tasks by 2064 (see Table 4.1). Let that sink in a bit. These experts predict that within the lifetimes of many people reading this book, and certainly of their children, artificially intelligent robots will be equal or better than humans at everything! What will be the role of humans in this type of future?

Table 4.1 When experts predict AI will equal or surpass humans on the following tasks

Expected year

Fold laundry

2022

Assemble any Lego® model

2024

Read text aloud

2025

Write a high school level essay from scratch

2025

Write and sing a top 40 pop song from scratch

2028

Drive a truck

2028

Run a 5k race

2029

Play Go

2029

Be a retail salesperson

2030

Write a best-selling novel (from scratch)

2053

Be a surgeon

2053

Can accomplish every task better and more cheaply than humans

2064

Source: 352 experts in the field of artificial intelligence (Grace et al. 2018).

As stated in the foregoing text, there is a fair amount of variance in the predictions by experts. For instance, regarding when these experts believe AI-driven devices will be better and cheaper than humans in every task, while the median predicted year is 2064, one quarter of the experts in the sample believe it will occur before 2040, while another quarter believe it will not occur until after 2120. This shows there is a high level of uncertainty regarding the timeline of robot and AI development.

We will now turn to the consumer perspective regarding their comfort level with robots assuming a variety of roles in their lives.

The Consumer Perspective

Robots at Home

We asked consumers about 18 different tasks in the home that robots could potentially perform in the next 10 to 20 years. The results showed a wide range of what consumers would trust robots to do for us in our homes, from almost universal acceptance (vacuuming) to almost universal rejection (babysitting).

On the high trust end, consumers are extremely supportive of robots doing our simple household chores over the next 10 to 20 years, such as: vacuum the floors (86 percent would trust a robot to do), snow shovel the driveway (80 percent), mow the lawn (77 percent), make the beds (75 percent), clean the bathrooms (72 percent), and wash and put away the dishes (72 percent). Clearly, the vast majority of Americans would be perfectly comfortable having a robotic maid and a robotic gardener that can do these basic daily maintenance chores around the house and yard. These are subservient roles where it feels safe to place robots, doing our busy work for us and freeing up time in our daily lives. As is a constant theme in our findings, if people perceive robots are in roles that are fully controlled and subservient, they feel much more comfortable. As a respondent said in one of our follow-up in-depth interviews, Sure, that’s what robots should be doing. All those crappy chores that no one wants to do. Like vacuuming. Like cleaning toilets. Another stated, Yes, I’d like to have a robot I could boss around and do all the work around my house. No one else at my house wants to do any chores, that’s for sure.

On the low trust end, consumers express very little trust in robots playing any role in childcare. Only 11 percent would trust a robot (in the next 10 to 20 years) to babysit children under the age of 2, and a similar 11 percent would trust a robot to babysit children aged 3 to 6. Not many more, 17 percent, would trust a robot to babysit a child aged 7 to 10. Follow-up in-depth interviews with consumers informed us that people see babysitting as a job with a high degree of risk, where one mistake could lead to death or injury, and they are not yet ready to give robots such a critical job (interestingly, young teens and tweens are regularly given the job of babysitting).

Consumers do not believe robots in the near future will have the situational awareness or the ability to fully control their actions to assume these sorts of childcare roles. As one study respondent stated, What if the robot holds the child’s arm too tightly? It [robot] could break it right off and not even know it’s doing that. Also, consumers see childcare as a job requiring a degree of humanity, compassion, joy, and even silliness, all qualities where they felt robots would be lacking. Many consumers struggle to see robots having a warm, caregiving personality. As one respondent said, That would be terrible for a small child, to have some cold robot as a caregiver. That’s just not right. It’s not healthy.

Consumers show significantly more receptivity to robots acting as companions to adults living alone. Though still not a majority, 40 percent of consumers would trust a robot in this type of role within the next couple of decades. As stated in the previous chapter, this is seen as a significant need in society. Also, older adults are viewed as able to hold their own with a robot, and the tasks required are perceived to be more suited to a robot. As one respondent stated, I think a robot would be great for an older person living alone. It could keep them company. Talk with them. Maybe read a book to them when their eyesight gets bad. Maybe even go buy them groceries. I would still prefer a dog, myself.

Here’s a finding of interest to auto companies: only 35 percent of adult Americans would trust a robot to drive them around in their cars in the next 10 to 20 years. Follow-up interviews informed us that this is another situation, like childcare, where people see “life and limb” on the line. Speeding along in a vehicle at 60 miles an hour is a dangerous thing, consumers relate, and they are not yet convinced robots will be able to do this with enough precision and consistency to make them feel comfortable. They base this perception on their current experiences with technology. As one consumer told us When they build a computer that never crashes, never ever has any problems, I mean like zero problems, that’s when I’ll get into a car driven by a robot.

Security companies should take note of the following: only 42 percent of Americans would trust a robot to serve as a home security guard over the next 10 to 20 years. As one respondent told us I really don’t want to have armed robots roaming around. That’s like one of these horror Terminator movies. This connects back to the issue of control, and making robots into security guards places them in too powerful and too dominant a role for most consumers to accept.

Table 4.2 provides the complete results for home tasks.

Table 4.2 Trust in robot roles in the home—in the next 10 to 20 years

Task

% Trust robots to do

Vacuum the floors

86

Snow shovel the driveway

80

Mow lawn

77

Make the beds

75

Clean the bathrooms

72

Wash and put away dishes

72

Wash and iron clothes

66

Paint the exterior of the house

62

Serve food

61

Be a butler

56

Plant and maintain garden

55

Cook food

45

Be a security guard

42

Be a companion to an adult living alone

40

Drive you around in your car

35

Babysit children aged 7–10

17

Babysit children aged 2–6

11

Babysit children under the age of 2

11

When we asked adult Americans in another one of our national surveys (sample size = 476) if they would prefer a robot servant or human servant in their homes, roughly half said they would prefer a robot servant, while about one in six would prefer a human servant, with the remaining one-third being not sure. This aligns with our findings that consumers are quite comfortable with robots doing all their mundane household and yard chores for them. See Table 4.3.

Table 4.3 Preference for a robot versus human servant at home

Prefer robot servant

Not sure

Prefer human servant

52%

32%

16%

Why do three times as many consumers prefer a robotic servant over a human servant? Many say they would feel more comfortable having a robot do all their routine chores for them, often involving degrading and tiresome work, versus asking a human to do it. As one consumer stated, I wouldn’t mind telling a robot to scrub all my bathroom floors for me, but I’d feel kinda bad ordering around a person to do all my cleaning.” Others believed robots could work all hours of the day, all days of the week as needed, which would be a nice perk. One respondent stated, “A robot could clean up the house after a party at two in the morning. No complaints. No overtime pay. The small minority who would only consider a human servant were mainly driven by their general distrust of robots. As one respondent told us, I don’t want any robots in my house. Period.

Younger consumers are significantly more open to the idea of personal servant robots than are their older counterparts, with 65 percent of Millennials liking the idea versus 50 percent of Gen Xers and 49 percent of Baby Boomers. See Table 4.4.

Table 4.4 View of personal servant robots by generation

Like (%)

Dislike (%)

Not sure (%)

Millennials

65

11

24

Gen X

50

12

38

Baby Boomers

49

15

36

Source: OIG (2018a).

As the preceding text and tables show, there is a significant level of support for robot help at home, undertaking basic chores for us. There is far less support for robots playing a role in our workplaces. In one of our national surveys (sample size = 345), 57 percent of adult Americans said they would find robot help with home household chores useful, while far fewer, 37 percent, said they would find robots useful helping out where they work (see Table 4.5). Much of this resistance is due to fears of robots replacing them at work. As one respondent stated, There are definitely things a robot could do where I work one day. Probably do them better than people. But I wouldn’t want that. I don’t want to compete with a robot. The company would love robot workers because they’d never complain.

Table 4.5 Robot utility at home versus at work

In my household chores (% agree)

In my job (% agree)

I would find robots useful …

57

37

Home Robots: Real World Successes and Failures

We have seen both commercial successes and failures in the early years of home robots. On the more simplistic side, Roomba robotic vacuum cleaners (from iRobot) have been a commercial success. They fit the role of a clearly subservient, and relatively simplistic, robot doing a mundane chore that very few people want to do. The end benefit is clear to consumers, and there is no threat to the household dynamic. (See pictures at www.irobot.com).

On the commercial failure side is the Kuri home robot (from Mayfield Robotics), which was on sale for only a short time before being pulled off the market in 2018 due to low consumer uptake. It was a cute robot meant to serve as a social companion in the household, with a security camera allowing for surveillance (by the home owner) and with some fun features to entertain children. However, its abilities were limited and it was perceived as somewhat gimmicky. The end benefit to the consumer was not clear. Hence, consumer interest was not at the expected level and the robot is no longer being sold (Simon 2017; see video of Kuri at www.youtube.com/watch?v=Gvle_O4vD18).

Another commercial failure is Jibo, from the Boston-based robotics company of the same name. Launched in 2017, Jibo was billed as “the world’s first social robot for the home.” It was stationary, like an Alexa, but meant to be far more interactive and friendly. It had the ability to recognize people in the home, start and maintain conversations, take pictures, read books, relay messages, and ask you about your day. However, by late 2018 Jibo was pulled from the market due to lower than expected sales (Van Camp 2019; see video of Jibo at www.youtube.com/watch?v=H0h20jRA5M0).

Yet another commercial failure is the Cozmo robot (from Anki). This robot was sold as an interactive and educational robot for children, meant as a playmate. Its robotic face was fairly emotive, with eyes that expressed its feelings. The manufacturer said hundreds of thousands of Cozmo robots were sold since its launch. However, investors did not have enough faith in the robot and the sales were not high enough for comfort. As a result, Anki went bankrupt in April 2019 and discontinued production of all its robots (Heater 2019; see video of Cozmo at www.youtube.com/watch?v=DHY5kpGTsDE).

The Kuri, Jibo, and Cozmo cases, along with our survey results, suggest that the personal robot business is a tough one, and there will be major bumps in the road as manufacturers introduce home robots to the marketplace. Based on our research, robots that can do household chores effectively and efficiently will likely do well commercially (given a reasonable price point). The purpose the robot serves, and the end benefit to the consumer, must be clear. Being cute and novel is not enough. Further, robots that are meant to provide a security, social or child-oriented task will be scrutinized more closely by consumers, with a hirer bar to meet.

An interesting robot in development is the Care-o-bot 4 from the Fraunhofer Institute. This is a more advanced robot than Kuri, Cozmo, or Roomba. Its website (www.care-o-bot.de/en/care-o-bot-4.html) describes many applications of this robot—doing both service and social tasks—both in and out of the home (retrieved October 23, 2019). The website showcases the robot assisting a person in his kitchen as he prepares a meal. See Figure 4.1.

Figure 4.1 Care-o-bot 4 from the Fraunhofer Institute

The Care-o-bot 4 represents a significant step in the direction of a multi-capable robotic home servant, with the ability to retrieve and deliver household items, do basic chores, and has a face that turns into a computer console when needed. It is also a social robot. The website describes the robot’s personality as “courteous, friendly and affable as a gentleman.” Since 2018, the Care-o-bot has been working in ­German assisted living facilities, bringing food and drink to residents and playing memory games with them (Calderone 2018). We are still far from Rosie the robotic maid on The Jetsons, but we are moving steadily in that direction.

Robots in the Community

We tested 11 possible roles that robots can play in people’s communities over the next 10 to 20 years. Not surprisingly, the role that found the highest level of trust among consumers for robots to undertake in their communities is as sanitation workers. In keeping with the trend in all our research, we find that consumers are most supportive of placing robots in the most subservient of roles, doing our lowest, least-preferable tasks. Of those surveyed, 56 percent said they would support robots as sanitation workers in their communities over the next 10 to 20 years. Next in terms of community roles is the librarian’s role, which is a much more intellectual job, but still a subservient and fairly safe one. Forty-eight percent of adult Americans would trust a robot to serve as a librarian in the next 10 to 20 years.

Potential roles in the community which garnered the lowest levels of trust in robots undertaking are those where robots would be given power and authority. Only 19 percent would trust a robot to serve as mayor in the next 10 to 20 years. This is interesting, given that in the United States, numerous polls show that we have very little faith in our human politicians. Yet, we are not ready to trade in human political leaders for robotic ones. Follow-up interviews suggest consumers do not think that robots, over the next two decades, will have the decision-making capacity, or ethical perspectives, to run our towns. As one said, Mayors have to make a lot of decisions about what’s best for the town. What’s best for the people in the town. Robots can’t do that. For others, it would mean giving too much power and authority to robots, and that was unacceptable. As one respondent said, I don’t want robots to run my town. Next they’ll run the world. Then they’ll get rid of us.

Also, roles that would give robots potentially lethal power, such as serving as a police officer or soldier, garnered little trust (19 percent and 32 percent, respectively). Of these two functions, the role that would place a robot more closely into the community in a potentially lethal role (police officer) garners significantly less trust than the one that places a robot further from the community (soldier). See Table 4.6 for full results regarding community roles for robots.

Table 4.6 Trust in robot roles in the community—in the next 10 to 20 years

Task

% Trust robots to do

Be a sanitation worker

56

Be a librarian

48

Direct traffic in a busy downtown area

42

Be a taxi/Uber driver

41

Be a firefighter

34

Be a news reporter

32

Be a soldier in the army

32

Be a lifeguard at the community pool

22

Be a coach for a youth sports team

22

Be a police officer

19

Be the mayor

19

As shown in the Table 4.6, only about one in three consumers (32 percent) would trust robots to serve as news reporters in their communities over the next two decades. Yet, robots and AI are already playing a growing role in news reporting, and both China and Japan have utilized robotic news anchors on television. See “Robots in the Newsroom” below.

Robots in Hotels

At a hotel, there are several roles that a large majority of consumers are comfortable seeing robots assume. Not surprisingly, these fall into lower level service roles such as carrying luggage (82 percent trust robots to do in the next 10 to 20 years), delivering room service (75 percent), cleaning rooms (68 percent), and serving as a hotel receptionist (63 percent). Consumers are split roughly in half on three of the more social roles, namely, hotel concierge (56 percent trust robots to do in the next 10 to 20 years), bartender (56 percent), and city tour guide (52 percent).

Robots in the Newsroom

Robots and artificial intelligence are already playing a significant role in the news industry. Roughly a third of the content published by Bloomberg News uses some form of automated technology (Peiser 2019). Many news articles today are actually written, in whole or large part, by AI programs. As Jacyln Peiser writes in the New York Times, In addition to covering company earnings for Bloomberg, robot reporters have been prolific producers of articles on minor league baseball for the Associated Press, high school football for the Washington Post and earthquakes for the Los Angeles Times. It is estimated that billions of stories are produced every year that involve some AI writing.

Taking a step further into our robotic future, China’s state-run news agency has introduced the world to the first robot anchorman. This is a highly humanlike robot (see video at www.youtube.com/watch?v=bmqd9nYH5Fw) that reads the news with fairly realistic—though not quite perfect—gestures and inflections (Kuo 2018). The robot was developed via machine learning, based upon the mannerisms of a human news anchorman. Japan has also experimented with robot news anchors (Specktor 2018). So far, the trend of robot news anchors has not caught on too widely, but the capability is advancing.

Regarding bartending, we already have on the market the Smartender, an automated bartending system which can pour over 600 drinks that customers select via a touchscreen (Rigie 2018). No human bartender needed. If you desire a bit more interaction, you can visit the Tipsyrobot in Las Vegas, where a robotic bartender in the form of two large mechanical arms mixes drinks upon request. The robot bartender can even perform dance routines in between drinks (www.thetipsyrobot.com). However, according to our surveys many customers may prefer a more human-to-human experience when at a bar. As one respondent in our study told us when informed of automated bars, Really, that’s where the world is going? It’s pretty sad that we will go to a bar, press some buttons, get a drink, then press more buttons for more drinks. God, that’s sad. Regarding a more interactive robot bartender, another respondent stated, I’m sure a robot would know how to make every mixed drink there is. But I wouldn’t want to sit at the bar and talk to a robot. That would be weird. I’d rather sit at a bar and chat with a cute human bartender.

This taps into a wider theme that we heard from many respondents in our research, that it would be “weird” to interact with robots on a social level. The idea of casually chatting with robots is off-putting to many humans. We deal with this issue more in Chapter 7.

Not surprisingly, in terms of hotel roles there is the lowest level of support for robotic security guards (42 percent). Again, this reflects the hesitancy of many people to give robots too much power and authority. See Table 4.7 for full results.

Table 4.7 Trust in robot roles in a hotel—in the next 10 to 20 years

Task

% Trust robots to do

Carry your luggage to your room

82

Deliver your room service food

75

Clean your room

68

Be a hotel receptionist

63

Be a hotel concierge

56

Be a bartender

56

Be a city tour guide

52

Be a security guard

42

Robots in Hotels—Pushing the Limits Perhaps Too Far

The hotel industry has been using robots for basic functions such as delivering food, supplies, and luggage to rooms for the past few years. It is not yet a widespread practice, but the process has begun. As our survey results show, consumers are quite comfortable with these sorts of basic service roles. The first hotel in the United States to introduce a robot worker was Aloft Cupertino in Silicon Valley (of course!), which did so in 2014. The robot, nicknamed Botlr (from Savioke), is a three-foot tall device that uses sensors, cameras, and wireless technology to deliver food and other supplies throughout the hotel. Since then many other hotels and hotel chains, including a Sheraton hotel in LA, the Royal Sonesta in Boston and the Westin Buffalo, have begun using similar robots for these basic functions. These robots have a built-in container that can be opened with a code specific to the hotel guests for whom the items are intended. And once delivered, the Botlr robot celebrates with a swivel dance and chirping noises (Walsh 2018; see a video here www.youtube.com/watch?v=nxFxdIngOPc).

As we have seen with many of these trends, Asian countries have pushed the robot wave to its current extreme. Hotel Henn-na, in Nagasaki, Japan, was created in 2015 and was the first hotel staffed mainly by robots—robot receptionists, robot bell hops, robot concierges, and so on. At its height there were a reported 243 robots working at the hotel. However, the robots did not work out as well as the company hoped, and many had to be decommissioned and replaced by human workers. Reports are that, among other problems, the robot concierge was not able to answer many of the guests’ questions, and the bell hop robots were unable to effectively navigate the entire hotel without getting lost or stuck (Gale and Mochizuki 2019; Liao 2019). Despite starting with a fair amount of excitement, Hotel Henn-na found that it could not deliver the full robot experience it initially promised.

That said, Hotel Henn-na has not given up on robots. It continues to utilize robots in its Nagasaki hotel as well as in other hotels across Japan. Robot receptionists have proven to be popular and up to the tasks in these hotels (see video here www.youtube.com/watch?v=7egDO6cyD58). In Japan, with its shrinking working-age population and minimal immigration, they have little choice but to keep working on robotic solutions to their staffing shortcomings in their hotels and other service industries.

Robots in Restaurants

Regarding restaurants, we again find the most support for robots in the lowest service roles. Roughly two-thirds of adult Americans are receptive to the idea of robot busboys over the next couple of decades. Slightly over half, 56 percent, are receptive to robotic waiters and robotic hostesses. Trust in a robotic cook in a restaurant over the next couple of decades is lower, at only 41 percent. Why so much less trust in a robot cook? For many respondents, cooking was seen as requiring critical human traits of creativity and adaptability, which many felt a robot could not master. As one respondent stated, I love to cook. Cooking involves a real, I don’t know, human factor. You have to be creative. Try different spices, different ingredients. The great chefs of the world are, like, artists. I don’t see a robot doing great cooking anytime soon. Maybe it can cook basic meals, like a burger, but not any great cooking.

As has been a constant finding in our research, there is very little support for robots placed in any positions of management or authority. Only 26 percent of adult Americans trust a robot to serve as a restaurant manager in the next couple of decades. See Table 4.8 for full results regarding restaurant roles.

Table 4.8 Trust in robot roles in a restaurant—in the next 10 to 20 years

Task

% Trust robots to do

Be a busboy

64

Be a waiter

56

Be a host/hostess

56

Be a cook

41

Be the restaurant manager

26

As of early 2020, robots working in restaurants are still a tiny niche found mainly in Asian countries, and these restaurants generally function as novelty experiences for tourist and city dwellers (Nguyen 2016). However, over the next decade that may change dramatically. A study cited in Forbes magazine places the automation potential for waiters and waitresses at 77 percent (Rigie 2018). Already, many large chain restaurants across the globe have automated some of the customer experience with the ability to order and pay via tablets that sit on the tables. Yet, human servers still play a key role in bringing the food to the table, checking on the satisfaction of the patrons, and otherwise managing the restaurant floor.

That said, many robotics companies are working hard to change that. For example, a company called Bear Robotics shows on its website the robotic food servers it is developing moving briskly about a crowded restaurant binging food to hungry customers (www.bearrobotics.ai —as of November 22, 2019). The company’s tagline is Reshaping food service with robotics and AI. Financially, restaurants could reap significant financial rewards by employing robots as wait staff and avoiding the hassle involved in hiring and managing these relatively high turnover workers (Rigie 2018). Yet, as we found in our studies, only slightly over half of Americans would trust a robot to perform this function. This consumer resistance could abate if the first generation of robot waiters does a fantastic job delivering the right food to the right table, while still hot and yummy-looking. If not, restaurants must be prepared for consumer pushback.

Robots in Stores

Results for acceptable roles for robots in stores mirrors much of what we see in other areas. Just over three-quarters (76 percent) of adult Americans would trust robots to help them carry their store-bought goods to their cars over the next 10 to 20 years. To keep stores organized, 72 percent would trust robots, while 71 percent would trust robots to help them find items in a store. Just about two-thirds would trust a robot in the next 10 to 20 years to be the store janitor (69 percent) or cashier (65 percent). Slightly over half (57 percent) would trust a robot to serve as a shopping consultant, offering suggestions on what to buy. Far fewer would trust a robot in the next couple of decades to be a store security guard (44 percent) or the store manager (29 percent). See Table 4.9 for full results on store roles.

Table 4.9 Trust in robot roles in a store—in the next 10 to 20 years

Task

% Trust robots to do

Help you carry what you bought to your car

76

Keep the store organized

72

Help you find products you are looking for

71

Be a janitor

69

Be a cashier

65

Provide suggestions on what to buy

57

Be a security guard

44

Be the store manager

29

Robots in Stores—and Consumers’ Suspicions

As mentioned in Chapter 1, Walmart currently has 300 robots working as janitors in selected stores, helping to clean the stores both during and after open hours (Grossman 2018). These robots resemble small Zambonis that autonomously direct themselves around Walmart’s stores, continuously washing the floors. This is just the beginning for Walmart. Money magazine reports that Walmart will soon deploy 1,500 robotic floor cleaners, 1,200 robotic truck unloaders, 900 robotic in-store pick-up towers and 300 robotic shelf scanners. All will be autonomous and undertake tasks now done by humans (Calfas 2019; see video here www.youtube.com/watch?v=VMZM5rMOIPE).

Large grocery chains such as Giant Foods and Stop and Shop have reconnaissance robots that patrol the stores looking for spills or other hazards in the stores, weaving around customers and other obstacles (Grossman 2019). Many respondents in our in-depth interviews mentioned seeing these robots in their local grocery stores. Most were either unsure what their role was, or were highly suspicious of what these robots were doing. Much of the suspicion centered around the sense that these robots were “spying” on customers. These concerns appear to grow out of a general distrust of large corporations and the track record of companies using technology to collect information on consumers. As one respondent stated, Why do these companies have these robots roaming around the aisles? It must be because they want to watch customers, to spy on us. It’s just another way for them [companies] to spy on us.

Mode of product delivery is an important part of today’s shopping experience. Amazon is investing significant time and money researching robotic deliverers. In 2019, Amazon began field testing its delivery robot named Scout, which resembles a large cooler with wheels. These field tests are taking place (as of 2019) in Irvine, CA, with a human accompanying the robot to ensure it delivers the packages to the correct address. The human companion is also there to answer consumers’ questions (Etherington 2019). Amazon’s goal, it is believed, is to eventually turn much of its delivery “final mile” (last mile from main route to the home recipient) over to fully autonomous robots, both robots with wheels (such as Scout) or robots with wings (smart drones). We introduced Amazon’s Scout in Chapter 1.

Half of Americans like the idea of independent delivery robots. The other half are divided between clearly disliking them (28 percent) or not yet sure what to make of the idea (22 percent). Companies such as Amazon have their work cut out for them to win over more consumers before they widely launch their robot deliverers. See Table 4.10.

Table 4.10 Like or dislike the concept of independent delivery robots

Like

Dislike

Not sure

50%

28%

22%

Source: OIG (2018b).

Robots in Schools

Regarding robots in schools, we tested six possible roles. See Table 4.11. Only one role, making and serving lunch, found a majority of adult Americans (albeit only a slight majority at 53 percent) trusting robots to take over this function in the next 10 to 20 years. Only 45 percent of respondents trust robots to serve as teacher’s assistants, while 41 percent trust robots to act as security guards in schools. When it comes to teaching students (as a teacher, not just an assistant), trust in robots to serve in this role over the next 10 to 20 years is below 30 percent (29 percent to 24 percent, depending upon the age of the students). Why would this be, given that computers can serve as almost infinite sources of information? Our follow-up interviews suggest a mix of concerns.

Table 4.11 Trust in robot roles in schools—in the next 10 to 20 years

Task

% Trust robots to do

Make and serve lunch

53

Be a teacher’s assistant

45

Be a security guard

41

Teach classes for high school students

29

Teach college classes

28

Teach classes for elementary school children

24

Security Robots on Patrol

As you may have noticed, we tested consumers’ trust in robots serving as security guards in four of the settings discussed in this chapter (home, hotel, store, and school). The percentage of the public trusting robots in security roles in these settings was between 41 percent and 44 percent. Hence, most consumers do not yet trust robots in these roles, no matter where. Further, only 19 percent trust robots to be police officers, since that role suggests greater authority and firepower.

Robots are already playing an active role in security, with some working for community police departments. Currently, however, their role is mainly to keep watch and report. Knightscope has created a fleet of security robots named K1, K3, K5 and K7 (see them at www.knightscope.com). These robots, which work indoors or outdoors, come with highly advanced gear that in many ways makes them far better than humans at keeping a lookout for crime. Ranging in size from 4.5 to 6 feet tall, these security robots resemble large cylinders with cone-like tops. They utilize their onboard video cameras, thermal imaging sensors, laser range finders, and radar to spot anything suspicious. They have visual technology that can recognize faces and read license plates, along with sensors to detect the presence of wireless devices. These robots are currently or have recently been employed by police departments (such as Huntington Park, CA), universities (such as North Central Texas College), and numerous malls, corporations, and hospitals. See Figure 4.2.

Figure 4.2 Knightscope security robots on patrol

South Korea has tested surveillance robots for use in its prisons. These experimental robots, called Robo-Guards, stand at five feet tall and are equipped with 3D cameras and intelligent software that can interpret inmate behavior as appropriate or inappropriate. Robo-Guard can immediately report anything suspicious to human guards, who can then communicate with the prisoners via the robot’s two way radio (Glaser 2016).

The security industry is very interested in deploying robots in a variety of ways. The observational technology now achievable with robots, along with their increasing ability to move about on their own and to interpret and react to situations via artificial intelligent software, as well as their ability to work all day and all night, make robots a natural fit for this industry. Whether the security industry will want to add to robots the ability to physically subdue and retain perpetrators is yet to be seen.

Regarding teaching younger children, we encountered the same issues we saw with babysitting. There is not yet enough trust in robots to give them responsibility over children. As one respondent told us, I don’t want a robot teaching in elementary school. What if it shuts off and there’s no one to watch the children? What if it malfunctions and attacks the children, even if it doesn’t mean to. Like, if it just starts zooming around the classroom because of a malfunction, not even aware its knocking over the children. Regarding older children, one respondent noted Teaching is not just being smart. A teacher has to connect with the kids. Can a robot do that? I’m not sure it can.

Sex with Robots

We cannot complete a chapter on potential robot roles without discussing the use of robots for sex. Humans having sex with robots has been showcased, or at least implied, in many films, both dramas and comedies, such as Ex Machina (2014), The Stepford Wives (2004), A.I. Artificial Intelligence (2001) and Austin Powers International Man of Mystery (1997); and in TV series, including West World (2016 to present) and Battlestar Galactica (2003 to 2009). In most of these, the robots are portrayed as the females (with major exceptions, such as A.I. Artificial Intelligence), and the sex is presented as fairly enjoyable for the humans.

Already, there is a growing international industry of brothels based completely on hyper-realistic sex dolls (see www.Lumidolls.com). The selling pitch for these advanced sex dolls is that they are made to look like a variety of “fantasy” sex partners, and that those who purchase sessions with these dolls can have any type of sexual fantasy that they would want without having to convince another human to go along. In essence, it gives the human participant complete control.

Adding robotic movements and interactions to these dolls is the next step in this industry, making the fantasy experience even more intense. This step is already well underway. Harmony, a sex robot made by Realbotix, is what you would expect a sex robot to look like. She has a highly attractive face and a voluptuous body. She can look you in the eyes, have a conversation with you, and also function as a sex doll is meant to function. If that is not enough, via an app the user can program different personalities and voices for Harmony, and change her facial features, to create different experiences (Morris 2018). Harmony sounds like something out of WestWorld, but she is available today. And Harmony is just the start of where this industry is expected to take robotics. Companies are continuing to advance technology in this area, making for more and more realistic sexual encounters with robots.

According to a 2017 survey, roughly one in four men and one in ten women admit that they would consider having sex with a robot. See Table 4.12. An additional one in five of each gender says they are “not sure” when asked the question, suggesting a sizable amount can potentially be convinced, given the right circumstances.

Table 4.12 Sex with robots

Men (%)

Women (%)

Definitely/probably consider

24

9

Definitely/probably NOT consider

58

71

Not sure

18

20

Source: You.gov (2017).

Summing Up: Most and Least Accepted Roles for Robots

Looking across all the roles that we tested in our surveys, a clear pattern emerges. American adults are most supportive of robots taking on clearly subservient service roles, doing our low level grunt work like carrying luggage, shoveling driveways, mowing lawns. American adults are least supportive of robots assuming any roles where they have responsibility over children, or play a law enforcement role, or where life and death may be at stake, or are placed in a leadership position over people. Robot scientists are pushing hard to expand the capabilities of robots. However, consumers are likely to push back just as hard on many of these possibilities. As with many new technologies, we expect acceptance to grow over time. The results from our studies identify the robot applications where initial resistance will be greatest, and where companies will have to work the hardest to build trust. See Table 4.13 for a summary of the most and least trusted roles for robots.

Table 4.13 Most and least trusted roles for robots

Most trusted roles for robots

Least trusted roles for robots

  • Carry your luggage to your room—at hotel (82%)
  • Snow shovel driveway—at one’s home (80%)
  • Mow the lawn—at one’s home (77%)
  • Help you carry what you bought to your car—at a store (76%)
  • Deliver your room service food—at hotel (75%)
  • Make beds—in one’s home (75%)
  • Babysit children under age 2—at one’s home (11%)
  • Babysit children aged 3 to 6—at one’s home (11%)
  • Babysit children aged 7 to 10—at one’s home (17%)
  • Be a police officer—in the community (19%)
  • Be the mayor—in the community (19%)
  • Be a lifeguard at the community pool—in the community (22%)
  • Be a coach for a youth sports team—in the community (22%)

Shown in (): Percentage who would trust a robot to do in the next 10 to 20 years.

Differences by Age

Regarding trust in robots assuming various roles in our lives, we see significant differences by age. See Table 4.14. Younger consumers (aged 18 to 34) are much more accepting of robots assuming a variety of roles than are their older (aged 35+) counterparts. This is particularly true of many activities in the community, such as being a police officer, firefighter, taxi driver, directing traffic, or even serving as the mayor. Younger consumers are also more supportive than their older counterparts of robots acting as their at-home servants, including babysitting, cooking, chauffeuring them, and acting as a companion.

Table 4.14 Trust in robot roles—differences by age

Aged 18 to 34 (%)

Aged 35+ (%)

Difference

Roles at Home: Percentage that trust doing

Be a butler

61

51

+10

Cook food

51

39

+12

Be a companion to an adult living alone

46

33

+13

Drive you around in a car

40

29

+11

Babysit children aged 7–10

24

9

+15

Babysit children aged < 2

15

6

+9

Babysit children aged 2–6

14

7

+7

Roles at Hotel: Percentage that trust doing

Be a security guard

45

38

+7

Roles at Store: Percentage that trust doing

Keep store organized

75

67

+8

Provide suggestions on what to buy

64

51

+13

Be a security guard

51

36

+15

Be the store manager

33

24

+9

Roles at School: Percentage that trust doing

Be a teacher’s assistant

49

41

+8

Be a security guard

47

34

+13

Teach at an elementary school

29

19

+10

Roles at Restaurant: Percentage that trust doing

Be a waiter

60

51

+9

Be a hostess

60

51

+9

Be a cook

45

36

+9

Be a restaurant manager

29

22

+7

Roles in the Community: Percentage that trust doing

Be a librarian

53

43

+10

Direct traffic downtown

50

34

+16

Be a taxi/Uber driver

48

33

+15

Be a fire fighter

41

26

+15

Be a soldier in the army

38

26

+12

Be a news reporter

37

27

+10

Be a coach for a youth sports team

27

16

+11

Be a lifeguard

27

17

+10

Be a police officer

26

11

+15

Be the mayor

26

12

+14

As often happens with technological innovations, it appears the younger members of society will be the first to widely accept robots in a variety of roles. However, although they are more receptive than their older counterparts, the younger generations will still need a fair amount of convincing on many of the roles involving greater robot authority.

Awareness of Current Capabilities Breeds Greater Trust in Robot Roles

In Chapter 2, we reviewed the awareness levels among the adult public regarding current robot capabilities. For the following analysis, we broke the sample into two groups: (a) those who are aware that robots are currently performing that task, and b) those who are not aware that robots are currently performing the task. We did this to see if awareness of current robot capabilities impacted people’s level of trust in robots doing that activity for them.

We found a strong correlation. People who are aware that robots are currently performing a task express significantly more trust in robots doing that task for them than do those not aware of current robot capabilities in that area. We found this result for every task that we included in the awareness study (sample size = 345). Hence, awareness of current robot capabilities appears to breed trust in robots taking on that role in one’s own life. See Table 4.15. Note that the tasks in the awareness study are different than the tasks discussed in this chapter, since many of the tasks discussed earlier in this chapter are not yet currently being done by robots.

Table 4.15 Awareness of current robot capabilities and impact on trust

Task

% Aware robots can currently perform

% Who trust robots doing

Among those not aware robots are currently doing

Among those aware robots are currently doing

Vacuum

88

65

90

Greet people

81

49

81

Drive vehicles

77

12

37

Sort and deliver packages

75

56

84

Wash floors

68

70

83

Perform music

65

39

69

Win at contests and board games

64

46

82

Help customers find goods they are looking for

63

62

85

Be your pet

61

17

59

Lawn mowing

53

51

82

Wash dishes

50

53

86

Check your bodily vital signs

49

36

54

Companionship—such as playing cards with you or reading books to you

48

35

66

Perform surgery on you

48

4

27

Massage your back

44

34

67

Hospital receptionist—taking your information when you arrive

42

40

79

Analyze the results of your X-rays, CT Scans, MRIs

41

20

46

Paint

38

46

75

Fold and organize clothes

34

58

82

Lift an elderly patient from a bed to a wheelchair

31

26

51

Write music

31

35

64

Iron clothes

30

52

82

Cook a variety of different meals

27

31

68

Draw your blood for testing

17

15

42

Perform your annual check ups

10

13

40

Implications for Consumer Behavior and Marketing Strategy

As we have emphasized throughout the book, for consumers to be supportive and even enthusiastic about the upcoming robot revolution, companies developing robots and those utilizing them in public-facing roles must make smart decisions along the way. A few missteps and public opinion can easily turn against the increasing use of robots in society.

A key part of this process is to understand the optimal roles for robots, particularly in the first decades or two of the robot revolution. Our research provides helpful insights in this regard. Consumers are most supportive of robots taking on clearly subservient service roles, doing the menial chores, grunt work or dangerous/dirty tasks that we humans do not want to do. Consumers are least supportive of robots assuming any roles where they have responsibility over children, or play a law enforcement role, or where life and death is perceived as being at stake, or are placed in a leadership or power position over people. Just because a robot can do something does not mean the public is ready to accept it. Consider a stepwise approach. Start robots in the most acceptable roles and build public confidence. Over time, as confidence builds in these initial roles, robots can be utilized in higher level and take on more advanced tasks. Pay attention to what others are doing in and out of your industry in terms of robot implementation in various roles; learn from their successes and failures. There may be roles for robots that may take many generations before the public will accept; only time will tell.

In addition to a stepwise approach to the roles robots take on, companies should also consider a stepwise approach to the quantity of robots in any consumer-facing positions. For instance, imagine a restaurant patron walking into her favorite restaurant one day and seeing the entire waitstaff replaced by robots. These robots may do a fantastic job in their roles, but the transition would be too sudden for the patron. However, if she walked in one day and saw a couple of support robots working with the team of human waiters, the transition would be much easier to accept.

Be sure to get feedback from customers on their experiences with robots, including the robots you are using for your customer touch points as well as robotic interactions your customers are experiencing in other areas of their lives. This customer research will be essential in helping any company optimize its robot strategy.

If a company is selling robots directly to consumers for home or personal use, keep in mind that no matter how exciting the technology may be to the robot developers, consumers will only spend money in significant amounts to satisfy a real want or need. That want or need may not be initially evident, and marketing may be required to communicate it. But, companies must keep in mind that only a tiny niche of consumers will buy a robot simply because it is the newest and shiniest object on the market. Robots for sale to consumers must deliver against a real consumer want or need in a manner that is perceived to be better than other known alternatives.

As robots are rolled out to take on more and more tasks, continue the public information campaigns to inform consumers of the benefits of the robots to the consumers themselves, so they understand this is not just about the company’s bottom line. And use these same marketing vehicles to inform the public of the broader perspective the company is taking, to ensure the robot revolution is well-thought out and well-managed for the broader societal good.

Finally, as with any smart marketing, consider your target consumer. Younger consumers and those more educated about robot capabilities will be the most receptive to robots in consumer-facing roles. Implement your initial rollouts in more youthful and tech-savvy communities. These consumers will be more accepting of initial stumbles, which must be worked out before implementation in older and more tech-hesitant communities.

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