How do avatar characteristics affect applicants' interactional justice perceptions in artificial intelligence‐based job interviews?

Qingfei Min; Haoye Sun; Xiaodi Wang; Crystal Zhang

doi:10.1111/ijsa.12472

How do avatar characteristics affect applicants' interactional justice perceptions in artificial intelligence‐based job interviews?

Qingfei Min
, Haoye Sun
, Xiaodi Wang
, Crystal Zhang

Dalian University of Technology

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

110 Downloads (Pure)

Abstract

Artificial intelligence (AI)-based job interviews are increasingly adopted in organizations' recruitment activities. Despite their standardization and flexibility, concerns about fairness for applicants remain a critical challenge. Taking a perspective on interface design, this research examines the role of avatar characteristics in shaping perceptions of interactional justice in AI-based job interviews. Through a scenario-based study involving 465 participants, the impact of avatar characteristics—specifically, appearance, linguistic style, and feedback informativeness—on applicants' perceptions of interpersonal justice and informational justice was investigated. The findings indicate that avatars characterized by a warm and cheerful appearance, coupled with an affective expression style and informative feedback, significantly enhance perceptions of interpersonal justice and informational justice. These insights offer valuable practical guidance for avatar design in AI-based job interview systems.

Original language	English
Pages (from-to)	442-450
Number of pages	9
Journal	International Journal of Selection and Assessment
Volume	32
Issue number	3
Early online date	12 Apr 2024
DOIs	https://doi.org/10.1111/ijsa.12472
Publication status	Published - Sept 2024

Bibliographical note

© 2024 John Wiley & Sons Ltd.
This is the peer reviewed version of the following article: Min, Q, Sun, H, Wang, X & Zhang, C 2024, 'How do avatar characteristics affect applicants' interactional justice perceptions in artificial intelligence‐based job interviews?', International Journal of Selection and Assessment, vol. 32, no. 3, pp. 442-450. which has been published in final form at https://doi.org/10.1111/ijsa.12472 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.

This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

Funder

We extend our sincere gratitude to our reviewers for their constructive suggestions. We particularly want to offer a heartfelt thank you to our exceptional editor for the invaluable guidance and support he provided throughout the entire process! Furthermore, Haoye Sun wants to express her appreciation to her friend Dr. Wei Liu from East China Normal University, for his insightful advice on journal selection and for his support and encouragement during the revisions of our paper. This study is funded by the National Natural Science Foundation of China (72272022).

Funding

We extend our sincere gratitude to our reviewers for their constructive suggestions. We particularly want to offer a heartfelt thank you to our exceptional editor for the invaluable guidance and support he provided throughout the entire process! Furthermore, Haoye Sun wants to express her appreciation to her friend Dr. Wei Liu from East China Normal University, for his insightful advice on journal selection and for his support and encouragement during the revisions of our paper. This study is funded by the National Natural Science Foundation of China (72272022).

Funders	Funder number
National Natural Science Foundation of China	72272022

Keywords

AI-based job interview
avatar
informational justice
interactional justice
interface design
interpersonal justice

ASJC Scopus subject areas

General Psychology
General Business,Management and Accounting
Management of Technology and Innovation
Applied Psychology
Strategy and Management

Access to Document

10.1111/ijsa.12472

Sun2024AAMAccepted author manuscript, 838 KB

Cite this

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title = "How do avatar characteristics affect applicants' interactional justice perceptions in artificial intelligence‐based job interviews?",

abstract = "Artificial intelligence (AI)-based job interviews are increasingly adopted in organizations' recruitment activities. Despite their standardization and flexibility, concerns about fairness for applicants remain a critical challenge. Taking a perspective on interface design, this research examines the role of avatar characteristics in shaping perceptions of interactional justice in AI-based job interviews. Through a scenario-based study involving 465 participants, the impact of avatar characteristics—specifically, appearance, linguistic style, and feedback informativeness—on applicants' perceptions of interpersonal justice and informational justice was investigated. The findings indicate that avatars characterized by a warm and cheerful appearance, coupled with an affective expression style and informative feedback, significantly enhance perceptions of interpersonal justice and informational justice. These insights offer valuable practical guidance for avatar design in AI-based job interview systems.",

keywords = "AI-based job interview, avatar, informational justice, interactional justice, interface design, interpersonal justice",

author = "Qingfei Min and Haoye Sun and Xiaodi Wang and Crystal Zhang",

note = "{\textcopyright} 2024 John Wiley \& Sons Ltd. This is the peer reviewed version of the following article: Min, Q, Sun, H, Wang, X \& Zhang, C 2024, 'How do avatar characteristics affect applicants' interactional justice perceptions in artificial intelligence‐based job interviews?', International Journal of Selection and Assessment, vol. 32, no. 3, pp. 442-450. which has been published in final form at https://doi.org/10.1111/ijsa.12472 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley{\textquoteright}s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. This document is the author{\textquoteright}s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it. ",

year = "2024",

month = sep,

doi = "10.1111/ijsa.12472",

language = "English",

volume = "32",

pages = "442--450",

journal = "International Journal of Selection and Assessment",

issn = "0965-075X",