Dissertation
Personality traits versus emotional states in human robot interaction: delineating individual differences to predict attitudes and behaviors across non-erroneous and erroneous social robot interactions
Doctor of Philosophy (Ph.D.), Drexel University
Jun 2022
DOI:
https://doi.org/10.17918/00001130
Abstract
This study examined the impact of personality traits and emotional states in human robot interaction. In this project we demonstrated that the trait-based approach in user-centered HRI is limited, and individual differences research should shift to a more dynamic perspective. The robustness of emotional states to predict attitudes towards a social robot was demonstrated across multiple use contexts (non-erroneous and erroneous robot performance). Furthermore, this study considered the value of attitude assessment in HRI. A relationship between emotions and attitudes was present, however a relationship between emotional state and behaviors was not detected. Results indicated that elements of robot design should attend to emotional states to optimize trust and feelings of rapport with a social robot. However, the impact of emotions on attitudes and ultimately attitudes on behaviors in requires further examination.
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Details
- Title
- Personality traits versus emotional states in human robot interaction
- Creators
- Nina Rothstein
- Contributors
- John Kounios (Advisor)Hasan Ayaz (Advisor)
- Awarding Institution
- Drexel University
- Degree Awarded
- Doctor of Philosophy (Ph.D.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- xii, 118 pages
- Resource Type
- Dissertation
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology); College of Arts and Sciences; Drexel University
- Other Identifier
- 991018527101404721