Abstract
As the elderly population grows rapidly, companion robots have attracted attention as a technological solution for problems faced by the elderly. Although the design elements of companion robots have influenced their usability, there remains a lack of relevant research. Therefore, this paper aims to extend our understanding of the design elements of companion robots preferred by the elderly. We conducted experiments on what types, weight, and materials are preferred for the elderly aged 50–64. Furthermore, we analyzed whether there were statistically significant differences in design preferences according to gender, living arrangement, and age. Consequently, the preference of the female elderly for robots over 2Â kg was observed to be significantly lower. Additionally, elderly people living alone preferred synthetic fur over elderly people living with others. In conclusion, it was found that the specific weight and material of the companion robot affects the preference of elderly people.
Original language | English |
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Title of host publication | Advances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2019 International Conference on Human Factors in Robots and Unmanned Systems, 2019 |
Editors | Jessie Chen |
Publisher | Springer Verlag |
Pages | 104-115 |
Number of pages | 12 |
ISBN (Print) | 9783030204662 |
DOIs | |
Publication status | Published - 2020 |
Event | AHFE International Conference on Human Factors in Robots and Unmanned Systems, 2019 - Washington D.C., United States Duration: 2019 Jul 24 → 2019 Jul 28 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Volume | 962 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Conference
Conference | AHFE International Conference on Human Factors in Robots and Unmanned Systems, 2019 |
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Country | United States |
City | Washington D.C. |
Period | 19/7/24 → 19/7/28 |
Bibliographical note
Funding Information:Acknowledgement. This research was supported by Research Program To Solve Social Issues of the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2017M3C8A8091770). This research was supported by the MIST (Ministry of Science and ICT), Korea, under the “ICT Consilience Creative Program” (IITP-2018-2017-0-01015) supervised by the IITP (Institute for Information & communications Technology Promotion). We are particularly grateful for the assistance given by Jaewoong Kim and Su Wan Park.
Funding Information:
This research was supported by Research Program To Solve Social Issues of the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2017M3C8A8091770). This research was supported by the MIST (Ministry of Science and ICT), Korea, under the “ICT Consilience Creative Program” (IITP-2018-2017-0-01015) supervised by the IITP (Institute for Information & communications Technology Promotion). We are particularly grateful for the assistance given by Jaewoong Kim and Su Wan Park.
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science(all)