Confiding in and Listening to Virtual Agents: The Effect of Personality
November 02, 2018 Β· Declared Dead Β· π International Conference on Intelligent User Interfaces
"No code URL or promise found in abstract"
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Authors
Jingyi Li, Michelle X. Zhou, Huahai Yang, Gloria Mark
arXiv ID
1811.00746
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC
Citations
63
Venue
International Conference on Intelligent User Interfaces
Last Checked
3 months ago
Abstract
We present an intelligent virtual interviewer that engages with a user in a text-based conversation and automatically infers the user's psychological traits, such as personality. We investigate how the personality of a virtual interviewer influences a user's behavior from two perspectives: the user's willingness to confide in, and listen to, a virtual interviewer. We have developed two virtual interviewers with distinct personalities and deployed them in a real-world recruiting event. We present findings from completed interviews with 316 actual job applicants. Notably, users are more willing to confide in and listen to a virtual interviewer with a serious, assertive personality. Moreover, users' personality traits, inferred from their chat text, influence their perception of a virtual interviewer, and their willingness to confide in and listen to a virtual interviewer. Finally, we discuss the implications of our work on building hyper-personalized, intelligent agents based on user traits.
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