Cited by 94AI in Service InteractionsTechnology Adoption and User BehaviourSocial Robot Interaction and HRI

Interactivity, humanness, and trust: a psychological approach to AI chatbot adoption in e-commerce

Open access
Ding, Yi, Najaf, Muzammil·2024·BMC Psychology

Abstract

This study aims to investigate the impact of interactivity and perceived humanness on trust toward AI chatbots in the e-commerce setting. Moreover, this study also aims to examine the mediation effect of trust toward AI chatbots in the relationship between interactivity and intention to adopt AI chatbots for e-commerce as well as in the relationship between perceived humanness and intention to adopt chatbots for e-commerce. This study used a time lag approach to collect the data from 343 customers from the southern region of China. The data were collected online through a questionnaire designed in Chinese language using a survey firm. The findings of this study indicated that there is a significant impact of interactivity and humanness on the trust toward chatbots. Moreover, the findings of this study indicated that there is a significant mediating effect of trust toward chatbots in the relationships of interactivity and perceived humanness to adopt chatbots for e-commerce. In addition, this study found a significant moderating influence on the perceived enjoyment of using chatbots in e-commerce settings. This study provides a unique perspective of expectation-confirmation theory for adopting emerging technologies for online shopping and also provides insights for designers and business firms to develop businesses to facilitate the AI chatbot feature for e-commerce.

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Registry

Crossref · 10.1186/s40359-024-02083-z

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78 of 78 references verified0 citation errors · 0 not checkable

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  • Design and channel factors (voice vs. text; initiation mode; anthropomorphic cues) influence perceived control and social presence, occasionally altering the direction of effects through reactance or satisfaction mechanisms.

    “Fourth, design and channel factors (voice vs. text; initiation mode; anthropomorphic cues) influence perceived control and social presence, occasionally altering the direction of effects through reactance or satisfaction mechanisms [7,24,31,32,52].”

    From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [31]

    The Discussion (page unavailable) links interactivity to perceived control and human-like chatbot features to trust; it also reports that enjoyment strengthens the positive relationship between trust and adoption. The paper does not establish voice-versus-text or initiation-mode effects, effects on social presence, reactance, or a reversal in the direction of effects. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • Purchase intention/adoption intention is mostly positive via utility/trust, but can decrease under high autonomy.

    “Mostly positive via utility/trust, but can decrease under high autonomy”

    From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [31]

    The Discussion (page unavailable) reports that trust significantly mediates intention to adopt AI chatbots for e-commerce, and the Hypothesis development section discusses utilitarian factors and perceived usefulness. Neither those passages nor searches for autonomy support the claim that intention decreases under high autonomy; the paper instead examines perceived enjoyment as a moderator. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • The utility chain dominates: quality/usefulness leads to attitude/satisfaction, which leads to intention.

    “Utility chain dominates: quality/usefulness → at-titude/satisfaction → intention.”

    From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [31]

    The Theoretical support section (page unavailable) says satisfaction can influence continued-use or adoption intentions, and Hypothesis development reports prior findings linking perceived usefulness to usage intentions. But the paper does not establish a quality/usefulness → attitude/satisfaction → intention chain or show that this chain dominates; its Discussion instead emphasizes interactivity and humanness acting through trust. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Time-lag designs are infrequent and typically confined to intention-based outcomes rather than actual behavior.

    “Time-lag designs are infrequent and typically confined to intention-based outcomes rather than actual behavior [31].”

    From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [31]

    The Data analysis sections report intention to adopt chatbots as this study’s outcome, but they do not establish how common time-lag designs are or what outcomes such designs typically measure. Searches for time-lagged and longitudinal designs and actual behavior found no non-abstract passage addressing that broader claim; the Method section describes an online survey conducted over four weeks. (LLM, conf=0.71)

    Experimental — accuracy not yet measured
  • High-autonomy cues can reduce intention via powerlessness/threat-to-freedom, unless urgency/scarcity raises benefit salience and attenuates resistance.

    “High-autonomy cues can reduce intention via powerless-raises benefit salience and attenuates resistance. ness/threat-to-freedom, unless urgency/scarcity”

    From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [31]

    The Discussion (page not provided) examines trust as a mediator and perceived enjoyment as a moderator of chatbot adoption. Searches for autonomy, powerlessness, threat to freedom, urgency, and scarcity found no passage addressing the claimed mechanism or exception. (LLM, conf=0.72)

    Experimental — accuracy not yet measured

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Cites

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Research works printed but not linked: 3

  1. [5]Ali M, Khan AN, Khan MM, Butt AS, Shah SHH. Mindfulness and study engagement: mediating role of psychological capital and intrinsic motivation. J Prof Capital Community. 2021;7(2):144–58. 10.1108/JPCC-02-2021-0013/FULL/XML. · DOI
  2. [66]Singh R. A study of artificial intelligence and E-commerce ecosystem–a customer’s perspective. Int J Res Eng Sci Manage. 2021;4(2):78–87.
  3. [80]Zhu C. Research on emotion recognition-based smart Assistant System: Emotional Intelligence and Personalized services. J Syst Manage Sci. 2023;13(5):227–42.

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Authors
Ding, Y., & Najaf, M.
Affiliations
  • Hubei Engineering University (CN)
  • University of Sargodha (PK)
Corresponding author
Najaf, Muzammil
Venue
BMC Psychology
Published
2024-10-28
Volume
12
Issue
1
Pages
595-595
ISSN
2050-7283 (ISSN-L)
OpenAlex
W4403842823
Cited by
93
References
78
Citations by year
2026: 57 · 2025: 36
FWCI
13.72
Type
journal article
Language
en
Open access
Locations
  • BMC Psychology (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
Keywords
AI chatbots, e-commerce, chatbot adoption, interactivity, perceived humanness, trust, adoption intention, perceived enjoyment, expectation confirmation theory, online shopping, technology acceptance
MeSH terms
Adult, Artificial Intelligence, China, Commerce, Female, Humans, Male, Middle Aged, Surveys and Questionnaires, Internet, Intention, Trust, Young Adult

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