• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Li, Qi (Li, Qi.) [1] | Wang, Leyao (Wang, Leyao.) [2]

Indexed by:

EI

Abstract:

The extent of anthropomorphism in robot design has long been a topic of scholarly interest. However, the question of whether the elderly prefer robots that are 'cute' or 'human-like' remains unanswered. This study introduces the concept of cuteness, the degree of anthropomorphism, and other physical attributes as reference points. Using grey relational analysis, we evaluate the correlation between five appearance features of six companion robots and five affective evaluation indicators of the elderly. The study concludes that cuteness significantly correlates with perceptions of warmth and friendliness. The ranking of the correlation between the five affective evaluations and each appearance feature is as follows: brightness > glossiness > cuteness > anthropomorphism > saturation. This suggests that elderly individuals prefer companion robots that are cute rather than anthropomorphic. The findings of this study provide guidance for the design of companion robots for the elderly and offer new insights and methods for similar product design evaluations. © 2013 IEEE.

Keyword:

Adversarial machine learning Anthropomorphic robots Machine design Microrobots Nanorobots

Community:

  • [ 1 ] [Li, Qi]Fuzhou University, School of Physics and Information Engineering, Digital Media Department, Fuzhou; 350108, China
  • [ 2 ] [Wang, Leyao]Fuzhou University, School of Physics and Information Engineering, Digital Media Department, Fuzhou; 350108, China

Reprint 's Address:

  • [li, qi]fuzhou university, school of physics and information engineering, digital media department, fuzhou; 350108, china

Show more details

Related Keywords:

Related Article:

Source :

IEEE Access

Year: 2025

Volume: 13

Page: 70626-70639

3 . 4 0 0

JCR@2023

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

Online/Total:127/10834304
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1