Actual human, 109
Advanced robots, 29
Affective computing, 130
AI. See Artificial intelligence (AI)
Alive, 110
Amazon Lab126, 143
Androids, 17, 18, 104–105, 108, 110, 111, 116, 117, 120
Artificial intelligence (AI), 1, 20, 29–31, 33, 37, 45, 56, 60, 61, 69, 127, 129, 130, 132, 134–135, 151
fields of, 8
role for, 30
Artificial-intelligence algorithms, 2
Baby Schema, 113
Baseball, 110
Bear Robotics, 73
Behavior strategy, 57–58, 82–85
Blade Runner, 104
Blue Frog Robotics, 91–92, 116
Books/articles, 14
Buddy’s emotional expressions, 119
Collaborative robots, 24
Communications, 156
Competitor, 138
Conscious, 128
Consumer behavior, 25–26, 57–58, 82–85, 100–101, 119–120, 139–140, 149
Consumer-facing environments, 9
Consumer-robot interactions, five laws of, 151–157
Consumer segments, 10
Control over robots, 153
Curtail collateral damage, 154–155
Customer-facing robots, 43
Customer service, 24, 41–43, 57, 108, 122, 139–140, 149
Cuteness, 107
Digital information, 48
Donkey brand, 147
Emotional AI, 130
Emotional intelligence, 128–131
Emotional quotient, 128
Emotions, 131
Enslaving humans, 56
Environmental issues, 58
Expectancy violation, 110
Expert commentary, 14
Facebook, 155
Feeling comfortable, 117
Final mile, 75
fMRI scan, 111
Four general robot appearances
humanoid, 105
mechanical, 104
zoological, 105
Friend, 138
Future human society, 19
General hopes/fears, 10
Gesturing, 128
Health care activities, 25, 96–100
Hilton Hotel’s Connie, 127–128
Home robots, 19
Home versus work, 65
Honorary, 137
Human interactions, 50
Human-interactive robots, 118
Human jobs, 46
Human-level bond, 139
Human likeness, 107
Human-robot bonding, 126
Human-robot interactions, 9–10, 138, 139
Human-robot relationships, 136
Human-to-human bonding, 125
Human-to-human experience, 70
Human-to-human interactions, 52
Humanlike, 112
IMDb (Internet Movie Database), 17
In-depth Interviews, 159
Independent delivery robots, 76
Individual personality, 131–133
Indoor delivery, 3
Intelligence, 127
Intelligent devices, 2
Internet Movie Database. See IMDb (Internet Movie Database)
I, Robot, 16
Jeopardy, 22
The Jetsons, 16
Large grocery store chains, 2–3
Life and limb, 63
Lorenz’s Baby Schema, 114
Lorenz’s theory, 113
Machine learning, 92, 127, 132, 135
Marketing, 52–53, 85, 155, 156
Marketing strategy, 25–26, 57–58, 82–85, 100–101, 119–120, 139–140, 149
Master, 138
Mechanical, 104
Nadine, 108
News coverage, 14
People’s communities, 68
Pepper, 115
Perhaps, 4
Personal servant robots, 65
Personal service robots, 24
Pew Research Center report, 37
The Polar Express, 111
Public-facing roles, 84
Qihan Technology Company, Ltd., 146–147
four types of, 106
Robot capabilities, 23, 83, 161
Robot faces, 119
Robot look, 107
Robot revolution, 82
Robot versus human servant, 64
Robotic pharmacists, 21
Robotic phlebotomist, 22
Robotics, fields of, 8
Robotics revolution, 8
home versus work, 65
versus human servant, 64
most and least trusted roles for, 80
optimistic future scenario of, 38
personal servant robots, 65
privacy, 54
roles, 64
community, 71
Sanbot brand, 147
Scout robots, 47
Self-direction, 2
Self-learning, 2
Service robots, 20
Softbanks’ Pepper robot, 115
Sophia, 4
Sophia android, 26
Techno-elites, 8
The Terminator, 16, 17, 28, 54
Transformers, 17
Want to interact with, 117
West World, 104
Workman role, 105
WowWee, 148
Zoological, 105