| Autor: |
Wells, Alesha, Loveys, Kate, Sagar, Mark, Billinghurst, Mark, Broadbent, Elizabeth |
| Předmět: |
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| Zdroj: |
ACM/IEEE International Conference on Human-Robot Interaction; Mar2022, p1085-1089, 5p |
| Abstrakt: |
Digital humans are a highly realistic form of conversational computer agent. Eye gaze is a salient social cue that digital humans could use to facilitate rapport-building during conversations. However, eye gaze tendencies vary by gender and incorrect gaze patterns can have negative social implications. Analysis of observational data during human conversations can help inform the development of eye gaze models for digital humans. This study aimed to identify the eye gaze patterns of women dyads during a rapport-building conversation, and to evaluate the effect of different gaze patterns on rapport, trust, and psychological outcomes. 36 adult women (18 dyads) completed the Relationship Closeness Induction Task while wearing eye tracking glasses. Subjective rapport, trust, and psychological measures were collected. Gaze patterns of women were found to change as the conversation content became more intimate; specifically, gaze aversions for thinking (p=.042), turn-taking (p=.025), and intimacy modulation increased in duration (p=.012). Furthermore, gaze patterns were associated with perceptions of the conversation partner. Displaying fewer cognitive gaze aversions was associated with greater closeness (p=.029) and trust perceptions (p=.035). Longer periods of direct gaze while speaking was associated with greater rapport (p=.040). Results will inform the development of a humanlike gaze model for female digital humans during intimate conversations and may be applicable to social robots. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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