Abstract
Industrial productivity has improved dramatically with the use of artificial intelligence and industrial robots, but unlike industrial robots, social robots must behave in a functional and socially acceptable way. Therefore, research on social robots is expanding to interact with humans through both verbal expressions and non-verbal expressions, such as facial expressions, gestures, and actions. The personalization of social robots is developing in the direction of giving personalities to robots rather than using "if this then that" (IFTTT) methods. Therefore, in this study, considering personality tests, we performed a systematic literature to examine the personality of robots, the personality of users, and multimodal social cues used to identify personality. The goal was to examine how robot personality and human personality can be applied to social robots and human-robot interaction to effectively implement personalized services. Google Scholar was searched for relevant papers published since 2018, which yielded 4,220 papers, of which 19 were finally selected. Personality modeling of social robots appeared in 5 papers, user personality modeling appeared in 16 papers, and multimodality usage appeared in 3 papers. Papers using personality modeling and multimodality have increased over time, and their effectiveness in human-robot interaction has been enhanced.
| Translated title of the contribution | A Systematic Literature Review on Personality Modeling and Representation for Personalized Social Robot Services |
|---|---|
| Original language | Korean |
| Pages (from-to) | 515-523 |
| Number of pages | 9 |
| Journal | 한국산학기술학회논문지 |
| Volume | 24 |
| Issue number | 7 |
| DOIs | |
| State | Published - 2023 |