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Do Men Have No Need for “Feminist” Artificial Intelligence? Agentic and Gendered Voice Assistants in the Light of Basic Psychological Needs

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Moradbakhti, Laura, Schreibelmayr, Simon, Mara, Martina·2022·Frontiers in Psychology

Abstract

Artificial Intelligence (AI) is supposed to perform tasks autonomously, make competent decisions, and interact socially with people. From a psychological perspective, AI can thus be expected to impact users’ three Basic Psychological Needs (BPNs), namely (i) autonomy, (ii) competence, and (iii) relatedness to others. While research highlights the fulfillment of these needs as central to human motivation and well-being, their role in the acceptance of AI applications has hitherto received little consideration. Addressing this research gap, our study examined the influence of BPN Satisfaction on Intention to Use (ITU) an AI assistant for personal banking. In a 2×2 factorial online experiment, 282 participants (154 males, 126 females, two non-binary participants) watched a video of an AI finance coach with a female or male synthetic voice that exhibited either high or low agency (i.e., capacity for self-control). In combination, these factors resulted either in AI assistants conforming to traditional gender stereotypes (e.g., low-agency female) or in non-conforming conditions (e.g., high-agency female). Although the experimental manipulations had no significant influence on participants’ relatedness and competence satisfaction, a strong effect on autonomy satisfaction was found. As further analyses revealed, this effect was attributable only to male participants, who felt their autonomy need significantly more satisfied by the low-agency female assistant, consistent with stereotypical images of women, than by the high-agency female assistant. A significant indirect effects model showed that the greater autonomy satisfaction that men, unlike women, experienced from the low-agency female assistant led to higher ITU. The findings are discussed in terms of their practical relevance and the risk of reproducing traditional gender stereotypes through technology design.

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  • No proper Basic Psychological Need scale adapted to the technology context has to date been rigorously developed and validated.

    “Since no proper BPN scale that is adapted to the technology context has to date been rigorously developed and validated, studies have used individually adapted versions of existing BPN scales (e.g., B. Chen et al., 2015;Moradbakhti et al., 2022;Sheldon & Hilpert, 2012), thereby impeding comparability of results across studies.”

    From Development and Validation of a Basic Psychological Needs Scale for Technology Use (2024) · cites this paper as Moradbakhti et al., 2022

    The Materials and Methods section says the authors adapted an existing BPN scale for their technology study. In Discussion > Limitations and Outlook, they report poor reliability for some adapted items and call for a context-specific scale, but they do not establish the broader claim that no rigorously developed and validated technology-specific BPN scale existed. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

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Cited by

Sorted by citations

Authors
Moradbakhti, L., Schreibelmayr, S., & Mara, M.
Affiliations
Johannes Kepler University of Linz (AT)
Corresponding author
Moradbakhti, Laura
Venue
Frontiers in Psychology
Published
2022-06-14
Volume
13
Pages
855091-855091
ISSN
1664-1078 (ISSN-L)
OpenAlex
W4282933114
Cited by
67
References
13
Citations by year
2026: 25 · 2025: 22 · 2024: 8 · 2023: 11 · 2022: 1
FWCI
3.28
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Psychology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • University Library Linz repository (Johannes Kepler Universitat Linz) (submittedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
Keywords
basic psychological needs, gender stereotypes, voice assistants, AI agents, autonomy satisfaction, intention to use, gendered technology, retail banking, technology acceptance

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