73BIBLIOGRAPHY
Teevan, J., Dumais, S. T., and Horvitz, E. (2007). Characterizing the value of personalizing search. In
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Devel-
opment in Information Retrieval (pp. 757–758). ACM. DOI: 10.1145/1277741.1277894.
15
Teevan, J., Dumais, S. T., and Horvitz, E. (2010). Potential for personalization. ACM Transactions
on Computer-Human Interaction, 17(1), 4. DOI: 10.1145/1721831.1721835. 15
Trippas, J. R., Spina, D., Cavedon, L., Joho, H., and Sanderson, M. (2018). Informing the design of
spoken conversational search: Perspective paper. In Proceedings of the 2018 International
ACM SIGIR Conference on Human Information Interaction and Retrieval (pp. 32–41).
ACM. DOI: 10.1145/3176349.3176387. 1
Turpin, L., Kelly, D., and Arguello, J. (2016). To blend or not to blend? Perceptual speed, visual
memory and aggregated search. In Proceedings of the 39th International ACM SIGIR
Conference on Research and Development in Information Retrieval (pp. 1021–1024). ACM.
DOI: 10.1145/2911451.2914739. 43
Umemoto, K., Yamamoto, T., and Tanaka, K. (2016). Scentbar: A query suggestion interface vi-
sualizing the amount of missed relevant information for intrinsically diverse search. In
Proceedings of the 39th International ACM SIGIR conference on Research and Development in
Information Retrieval (pp. 405–414). ACM. DOI: 10.1145/2911451.2911546. 43, 46, 47
Vtyurina, A. and Fourney, A. (2018). Exploring the role of conversational cues in guided task sup-
port with virtual assistants. In Proceedings of the 2018 CHI Conference on Human Factors
in Computing Systems (p. 208). ACM. DOI: 10.1145/3173574.3173782. 19
Wan, X., Li, H., and Xiao, J. (2010). EUSUM: extracting easy-to-understand English summaries
for non-native readers. In Proceedings of the 33rd International ACM SIGIR Confer-
ence on Research and Development in Information Retrieval (pp. 491–498). ACM. DOI:
10.1145/1835449.1835532. 18, 21
Wang, Y., Sarkar, S., and Shah, C. (2018). Juggling with information sources, task type, and infor-
mation quality. In Proceedings of the 2018 Conference on Human Information Interaction and
Retrieval (pp. 82–91). ACM. DOI: 10.1145/3176349.3176390. 19
White, R. W. (2018). Skill discovery in virtual assistants. Communications of the ACM, 61(11),
106–113. DOI: 10.1145/3185336. 1
Wilson, M. L., Chi, E. H., Reeves, S., and Coyle, D. (2014). RepliCHI: the workshop II. In CHI’14
Extended Abstracts on Human Factors in Computing Systems (pp. 33–36). ACM. DOI:
10.1145/2559206.2559233. 55