Improving Social Robot Recommendation Acceptance Through Geo-Gender Affinity Construction

As artificial intelligence and robotics advance, social robots are increasingly integrated into service domains, necessitating strategies to enhance user acceptance of their recommendations. Prior work has explored how gendered appearance influences user acceptance, yet the role of linguistic featur...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 10; H. 9; S. 9064 - 9071
Hauptverfasser:	Fu, Changzeng, Li, Zihan, Wang, Songyang, Ishiguro, Hiroshi, Yoshikawa, Yuichiro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Affinity Anthropomorphism Artificial intelligence Attraction Cultural differences Dialects Gender genderization geo-gender affinity Linguistics recommendation acceptance Recommender systems Robotics Robots Social robots Systematics Training
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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