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.
|Title of host publication||HRI 2017 - Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction|
|Publisher||IEEE Computer Society|
|Number of pages||2|
|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
|Name||ACM/IEEE International Conference on Human-Robot Interaction|
|Other||12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017|
|Period||17/3/6 → 17/3/9|
Bibliographical noteFunding 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).
© 2017 Authors.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Human-Computer Interaction
- Electrical and Electronic Engineering