인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2026.5
- 수록면
- 145 - 158 (14page)
이용수
초록· 키워드
Background : Non-humanoid robots in service contexts face fundamental limitations in expressing social intentions due to physical constraints, including limited anthropomorphic features and low degrees of freedom. Although previous research has explored how minimal abstract movements can support social communication, a significant gap remains in understanding how such movements can function as conversational grounding, particularly in signaling interactional phases such as opening, closing, and turn-taking.
Methods : Using an abstract robotic prototype equipped with two degrees of freedom that performed simple expressive movements, we conducted a user study with 30 participants. One participant was excluded from the final analysis due to a technical issue with the prototype, resulting in data from 29 participants. Three experimental conditions were evaluated: pointing-only (A), pointing + opening and closing (B), and pointing + turn-taking (C). We measured participants’ perceptions of engagement, likeability, intelligence, and fluency, alongside task completion time and conversational overlaps.
Results : All abstract movements were perceived as appropriate for the interaction context. Condition B significantly increased engagement and likeability compared to Condition A. Condition C significantly improved perceived intelligence and fluency compared to other conditions. Additionally, Condition C reduced task completion time compared to Condition A and conversational overlaps compared to both conditions.
Conclusions : These findings demonstrate that minimal abstract movements can effectively support conversational grounding in non-humanoid robots. This approach can help extend social capabilities to a broader range of intelligent products with similar physical constraints.
Methods : Using an abstract robotic prototype equipped with two degrees of freedom that performed simple expressive movements, we conducted a user study with 30 participants. One participant was excluded from the final analysis due to a technical issue with the prototype, resulting in data from 29 participants. Three experimental conditions were evaluated: pointing-only (A), pointing + opening and closing (B), and pointing + turn-taking (C). We measured participants’ perceptions of engagement, likeability, intelligence, and fluency, alongside task completion time and conversational overlaps.
Results : All abstract movements were perceived as appropriate for the interaction context. Condition B significantly increased engagement and likeability compared to Condition A. Condition C significantly improved perceived intelligence and fluency compared to other conditions. Additionally, Condition C reduced task completion time compared to Condition A and conversational overlaps compared to both conditions.
Conclusions : These findings demonstrate that minimal abstract movements can effectively support conversational grounding in non-humanoid robots. This approach can help extend social capabilities to a broader range of intelligent products with similar physical constraints.
#Non-Humanoid Robot
#Abstract Movement
#Conversational Grounding
#Turn-taking
#Human-Robot Interaction
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목차
- Abstract
- 1. Introduction
- 2. Background
- 3. Design and Hypotheses
- 4. Experiment
- 5. Results
- 6. Discussion
- 7. Conclusion
- References
참고문헌
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