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Perceived Safety Assessment of Interactive Motions in Human-Soft Robot Interaction.
Wang, Yun; Wang, Gang; Ge, Weihan; Duan, Jinxi; Chen, Zixin; Wen, Li.
Affiliation
  • Wang Y; School of New Media Art and Design, Beihang University, Beijing 100191, China.
  • Wang G; Academy of Arts and Design, Tsinghua University, Beijing 100084, China.
  • Ge W; The Future Laboratory, Tsinghua University, Beijing 100084, China.
  • Duan J; Academy of Arts and Design, Tsinghua University, Beijing 100084, China.
  • Chen Z; The Future Laboratory, Tsinghua University, Beijing 100084, China.
  • Wen L; Sino-French Engineer School, Beihang University, Beijing 100191, China.
Biomimetics (Basel) ; 9(1)2024 Jan 21.
Article in En | MEDLINE | ID: mdl-38275455
ABSTRACT
Soft robots, especially soft robotic hands, possess prominent potential for applications in close proximity and direct contact interaction with humans due to their softness and compliant nature. The safety perception of users during interactions with soft robots plays a crucial role in influencing trust, adaptability, and overall interaction outcomes in human-robot interaction (HRI). Although soft robots have been claimed to be safe for over a decade, research addressing the perceived safety of soft robots still needs to be undertaken. The current safety guidelines for rigid robots in HRI are unsuitable for soft robots. In this paper, we highlight the distinctive safety issues associated with soft robots and propose a framework for evaluating the perceived safety in human-soft robot interaction (HSRI). User experiments were conducted, employing a combination of quantitative and qualitative methods, to assess the perceived safety of 15 interactive motions executed by a soft humanoid robotic hand. We analyzed the characteristics of safe interactive motions, the primary factors influencing user safety assessments, and the impact of motion semantic clarity, user technical acceptance, and risk tolerance level on safety perception. Based on the analyzed characteristics, we summarize vital insights to provide valuable guidelines for designing safe, interactive motions in HSRI. The current results may pave the way for developing future soft machines that can safely interact with humans and their surroundings.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Qualitative_research Language: En Journal: Biomimetics (Basel) Year: 2024 Document type: Article Affiliation country: China Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Qualitative_research Language: En Journal: Biomimetics (Basel) Year: 2024 Document type: Article Affiliation country: China Country of publication: Switzerland