68/100

Moderate evidence

Shoppers served by AI chatbots were less likely to buy than those served by people, tests find

Study title: AI Chatbots Versus Human Agents for Customer Service: A Social Belonging Perspective

Evidence type
Controlled or validated comparison
Sample
n = 587
Sources
1 sourcePeer-reviewed
Published
2 min read

Study title: AI Chatbots Versus Human Agents for Customer Service: A Social Belonging Perspective

A peer-reviewed paper in the Journal of Consumer Behaviour reports that customers who dealt with AI chatbots in customer service showed weaker purchase intentions than those who dealt with human agents. The finding comes from three online experiments with 587 participants and one study of real-world social media data.

Read the study abstract

ABSTRACT Artificial intelligence (AI) has rapidly transformed customer service, leading to the widespread adoption of AI‐driven chatbots. Despite these advances, consumers consistently prefer human agents over AI chatbots, as documented in both academic research and industry reports. This research proposes a Social Belonging Perspective to explain this phenomenon. We conducted three online experiments involving 587 participants and one study based on real‐world social media data. Our findings indicated that inte…

The problem

In three online experiments with 587 participants plus a social media data study, interactions with AI customer service chatbots produced weaker purchase intentions than interactions with human agents, with a lower sense of belonging as the mechanism.

In brief

The authors say a weaker sense of belonging explains the gap. They propose a Social Belonging Perspective to account for why consumers consistently prefer human agents over chatbots, a preference they say is documented in academic research and industry reports.

The effect also varied with context: incidental social experiences that evoke different levels of belonging, and individuals' chronic social connectedness, shaped how people responded. That suggests the penalty for chatbots is not uniform across customers.

Main points

  1. Three online experiments involved 587 participants in total.
  2. One additional study used real-world social media data alongside the experiments.
  3. Interactions with AI chatbots generated weaker purchase intentions than interactions with human agents.
  4. Sense of belonging was identified as a central mechanism behind the difference.
  5. Incidental social experiences that raise or lower belonging shaped consumer responses.
  6. Individuals' chronic social connectedness also shaped how they responded.

The full story

The research tests why consumers prefer human agents to AI chatbots in customer service. The authors propose a Social Belonging Perspective: dealing with a human supports a sense of belonging that a chatbot does not, and this affects willingness to buy.

The evidence combines three online experiments with 587 participants and one study using real-world social media data. Purchase intentions were weaker after chatbot interactions than after human-agent interactions.

Both situational and personal factors moderated the effect. Incidental social experiences that evoke varying levels of belonging, and people's chronic social connectedness, shaped responses, which the authors take as strong support for their perspective.

Sources

1 on file
  1. Peer-reviewed2026-08-23

Talk it over

Four questions to start on
Who carries this cost, and what would have to change to prevent it?

Start with a question

Shoppers served by AI chatbots were less likely to buy than those served by people, tests findhttps://truvace.com/item/ai-chatbots-versus-human-agents-for-customer-service-a-social-belonging-perspect

  1. Who carries this cost, and what would have to change to prevent it?

    The problem In three online experiments with 587 participants plus a social media data study, interactions with AI customer service chatbots produced weaker purchase intentions than interactions with human agents, with a lower sense of belonging as the mechanism.

    Answer in the thread
  2. How do we know? What can this kind of evidence show, and what can’t it?

    The evidence This rests on a controlled comparison with a sample of 587, from Journal of Consumer Behaviour.

    Answer in the thread
  3. What does it leave open? What else would you want to know before acting on it?

    Answer in the thread
  4. Have you seen AI used this way where you study, work or live? Did it go the same way?

    Answer in the thread

The questions are the same on every record. The details under them are taken from this record as written.

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