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Journal Article
Editorial: Social human-robot interaction (sHRI) of human-care service robots
- Authors
- Minsu Jang, JongSuk Choi, Ho Seok Ahn, Chung Hyuk Park
- Issue Date
- 2022-12
- Citation
- Frontiers in Robotics and AI, v.9, pp.1-3
- ISSN
- 2296-9144
- Publisher
- Frontiers Media
- Language
- English
- Type
- Journal Article
- Abstract
- With the advent of an increasingly aging society and the rapid increase of distributed or single-parent families, there are increasing demands for service robots with social intelligence to be integrated into our everyday lives to improve human-care services for aging people, people who need special care, and people living alone. A consequence of this increasing demand is that robots need to have greater capabilities for social interaction and improved stable manipulability of humans and daily-use objects. It is reported that older adults and care-givers acknowledge the potential benefits of socially intelligent service robots (Broekens et al., 2009;Pino et al., 2015).Most previous service robots have been designed to perform non-interactive and physical services such as cleaning, surveillance, delivery, etc. But now robots are intended to perform socially intelligent and interactive services like reception, guidance, emotional companionship, medical intervention and so on, which makes social human-robot interaction essential to help improve aspects of quality of life, as well as to improve the efficiency of human-care services (Clabaugh et al., 2019;Céspedes et al., 2021;Fraune et al., 2022;Niewiadomski et al., 2022).This Research Topic received a number of submissions from research fields including HRI design, social intelligence, decision making, social psychology, and robotic social skills etc. on realizing and evaluating social aspects of both cognitive and physical humanrobot interactions in our daily lives, and four of them have been accepted for publication.Two articles in this Research Topic present machine learning-based approaches for decision making and generating behavioral responses to solicit improved social humanrobot interactions.
- KSP Keywords
- Aging People, Aging society, Behavioral responses, HRI design, Human-Robot Interaction(HRI), Interactive services, Learning-based, Non-interactive, Older adults, Quality of life, Service robots
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
