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Expressing Personalities of Conversational Agents through Visual and Verbal Feedback

Department of Communication, Seoul National University, Seoul 08826, Korea
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Electronics 2019, 8(7), 794; https://doi.org/10.3390/electronics8070794
Received: 3 June 2019 / Revised: 2 July 2019 / Accepted: 6 July 2019 / Published: 16 July 2019
(This article belongs to the Special Issue Electronics and Dynamic Open Innovation)
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Abstract

As the uses of conversational agents increase, the affective and social abilities of agents become important with their functional abilities. Agents that lack affective abilities could frustrate users during interaction. This study applied personality to implement the natural feedback of conversational agents referring to the concept of affective computing. Two types of feedback were used to express conversational agents’ personality: (1) visual feedback and (2) verbal cues. For visual feedback, participants (N = 45) watched visual feedback with different colors and motions. For verbal cues, participants (N = 60) heard different conditions of agents’ voices with different scripts. The results indicated that the motions of visual feedback were more significant than colors. Fast motions could express distinct and positive personalities. Different verbal cues were perceived as different personalities. The perceptions of personalities differed according to the vocal gender. This study provided design implications for personality expressions applicable to diverse interfaces. View Full-Text
Keywords: personality expression; conversational agent; visual feedback; verbal cues; artificial intelligent speakers personality expression; conversational agent; visual feedback; verbal cues; artificial intelligent speakers
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Lee, S.-Y.; Lee, G.; Kim, S.; Lee, J. Expressing Personalities of Conversational Agents through Visual and Verbal Feedback. Electronics 2019, 8, 794.

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