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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE robotics and automation letters Ročník 10; číslo 9; s. 9064 - 9071
Hlavní autori:	Fu, Changzeng, Li, Zihan, Wang, Songyang, Ishiguro, Hiroshi, Yoshikawa, Yuichiro
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!