Machinelike or Humanlike? A Literature Review of Anthropomorphism in AI-Enabled Technology
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Detail(s)
Original language | English |
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Title of host publication | Proceedings of the 54th Hawaii International Conference on System Sciences |
Pages | 4053-4062 |
Number of pages | 10 |
ISBN (electronic) | 978-0-9981331-4-0 |
Publication status | Published - Jan 2021 |
Publication series
Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
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Volume | 2020-January |
ISSN (Print) | 1530-1605 |
Conference
Title | 54th Hawaii International Conference on System Sciences (HICSS 2021) |
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Place | United States |
City | Kauai |
Period | 4 - 8 January 2021 |
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DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85108312065&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(7c9fa6e3-ab93-4d72-ab37-219f2733dd1e).html |
Abstract
Due to the recent proliferation of AI-enabled technology (AIET), the concept of anthropomorphism, human likeness in technology, has increasingly attracted researchers’ attention. Researchers have examined how anthropomorphism influences users’ perception, adoption, and continued use of AIET. However, researchers have yet to agree on how to conceptualize and operationalize anthropomorphism in AIET, which has resulted in inconsistent findings. A comprehensive understanding is thus needed of the current state of research on anthropomorphism in AIET contexts. To conduct an in-depth analysis of the literature on anthropomorphism, we reviewed 35 empirical studies focusing on conceptualizing and operationalizing AIET anthropomorphism, and its antecedents and consequences. Based on our analysis, we discuss potential research gaps and offer directions for future research.
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Citation Format(s)
Machinelike or Humanlike? A Literature Review of Anthropomorphism in AI-Enabled Technology. / Li, Mengjun; Suh, Ayoung.
Proceedings of the 54th Hawaii International Conference on System Sciences. 2021. p. 4053-4062 (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2020-January).
Proceedings of the 54th Hawaii International Conference on System Sciences. 2021. p. 4053-4062 (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2020-January).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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