Abstract
Human-likeness plays one of the most important roles in the long-term relationship between a robot and human. However, most of the existing studies have not designed human-like imperfection that is frequently observed by humans towards robots or agents. In our research, through questionnaires and interviews, we confirmed that when designing a robot or agent that plays a learning companion role, the imperfect elements of the robot or agent act positively on the long-term relationship with the user, and we will verify this with future experiments.
| Original language | English |
|---|---|
| Title of host publication | HRI 2017 - Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction |
| Publisher | IEEE Computer Society |
| Pages | 165-166 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450348850 |
| DOIs | |
| Publication status | Published - 2017 Mar 6 |
| Event | 12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017 - Vienna, Austria Duration: 2017 Mar 6 → 2017 Mar 9 |
Publication series
| Name | ACM/IEEE International Conference on Human-Robot Interaction |
|---|---|
| ISSN (Electronic) | 2167-2148 |
Other
| Other | 12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017 |
|---|---|
| Country/Territory | Austria |
| City | Vienna |
| Period | 17/3/6 → 17/3/9 |
Bibliographical note
Funding Information:This research was supported by the MSIP, Korea, under the G-ITRC support program (IITP-2017-R6812-15-0001) supervised by the IITP. This research was supported by the Ministry of Education (NRF-2016R1D1A1B02015987).
Publisher Copyright:
© 2017 Authors.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Human-Computer Interaction
- Electrical and Electronic Engineering