TY - GEN
T1 - Whether information source should be provided in the response of voice interaction system?
AU - Zhang, Yaping
AU - Zhou, Ronggang
AU - Sun, Yanyan
AU - Zou, Liming
AU - Wang, Huiwen
AU - Zhao, Min
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - The information source of voice interaction system response may influence users’ affective experience. This research is to get a better understanding of whether information source should be provided in the response of voice interaction system and what types of information source should be used to offer a better affective experience to users. In this study, we explored the effect of three different information source types (no information source, information source from professional organizations, information source from internet users) of voice interaction system’s responses on users’ affective experience from five different application scenarios (music query, news query, health query, travel query, and restaurant query). Three questions, including affection, acceptance and satisfaction, were used to measure users’ affective experience. All quantitative data were collected based on the E-Prime experimental platform and 21 participants took part in this study. The results showed that, as a whole, participants preferred the responses with information sources from professional organizations, while there was no significant difference between information source from internet users and no information source. In different application scenarios, the types of information sources preferred by users were different. In music query, news query, and health query scenarios, it was recommended to consider information source from professional organizations; In travel query and restaurant query scenarios, it was suggested to consider information source from internet users.
AB - The information source of voice interaction system response may influence users’ affective experience. This research is to get a better understanding of whether information source should be provided in the response of voice interaction system and what types of information source should be used to offer a better affective experience to users. In this study, we explored the effect of three different information source types (no information source, information source from professional organizations, information source from internet users) of voice interaction system’s responses on users’ affective experience from five different application scenarios (music query, news query, health query, travel query, and restaurant query). Three questions, including affection, acceptance and satisfaction, were used to measure users’ affective experience. All quantitative data were collected based on the E-Prime experimental platform and 21 participants took part in this study. The results showed that, as a whole, participants preferred the responses with information sources from professional organizations, while there was no significant difference between information source from internet users and no information source. In different application scenarios, the types of information sources preferred by users were different. In music query, news query, and health query scenarios, it was recommended to consider information source from professional organizations; In travel query and restaurant query scenarios, it was suggested to consider information source from internet users.
KW - Information source
KW - Response of voice interaction system
KW - Users’ affective experience
UR - https://www.scopus.com/pages/publications/85088751013
U2 - 10.1007/978-3-030-49044-7_21
DO - 10.1007/978-3-030-49044-7_21
M3 - 会议稿件
AN - SCOPUS:85088751013
SN - 9783030490430
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 257
EP - 269
BT - Engineering Psychology and Cognitive Ergonomics. Mental Workload, Human Physiology, and Human Energy - 17th International Conference, EPCE 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
A2 - Harris, Don
A2 - Li, Wen-Chin
PB - Springer
T2 - 17th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -