Cited by 40AI in Service InteractionsSocial Robot Interaction and HRICustomer Service Quality and Loyalty

Understanding the Impact that Response Failure has on How Users Perceive Anthropomorphic Conversational Service Agents: Insights from an Online Experiment

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University of Göttingen, Diederich, Stephan, Lembcke, Tim-Benjamin, University of Göttingen, Brendel, Alfred Benedikt, TU Dresden, Kolbe, Lutz M., University of Göttingen·2021·AIS Transactions on Human-Computer Interaction

Abstract

Conversational agents (CAs) have attracted the interest from organizations due to their potential to provide automated services and the feeling of humanlike interaction. Emerging studies on CAs have found that humanness has a positive impact on customer perception and explored approaches for their anthropomorphic design, which comprises both their appearance and behavior. While these studies provide valuable knowledge on how to design humanlike CAs, we still do not sufficiently understand this technology’s limited conversational capabilities and their potentially detrimental impact on user perception. These limitations often lead to frustrated users and discontinued CAs in practice. We address this gap by investigating the impact of response failure, which we understand a CA’s inability to provide a meaningful reply, in a service context. To do so, we draw on the computers are social actors paradigm and the theory of the uncanny valley. Via an experiment with 169 participants, we found that 1) response failure harmed the extent to which people perceived CAs as human and increased their feelings of uncanniness, 2) humanness (uncanniness) positively (negatively) influenced familiarity and service satisfaction, and 3) the response failure had a significant negative impact on user perception yet did not lead to a sharp drop as the uncanny valley theory posits. Thus, our study contributes to better explaining the impact that text-based CAs’ failure to respond has on customer perception and satisfaction in a service context in relation to the agents’ design.

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Research in human-computer interaction suggests that humans may be less willing to expend collaborative effort when interacting with entities they know to be artificial agents.

    “Furthermore, research in human-computer interaction suggests that humans may be less willing to expend collaborative effort when interacting with entities they know to be artificial agents (Diederich et al., 2021;Følstad et al., 2024).”

    From Explainability in AI: Comparing Human-Like and System-Like Trust Repair Strategies (2026) · cites this paper as Diederich et al., 2021

  • Requiring user participation adds a cognitive burden, effectively asking users to help remedy problems they often did not cause.

    “Since a CA error already disrupts the interaction, requiring user participation adds a cognitive burden, effectively asking users to help remedy problems they often did not cause (Diederich et al., 2021;Poser et al., 2023).”

    From Explainability in AI: Comparing Human-Like and System-Like Trust Repair Strategies (2026) · cites this paper as Diederich et al., 2021

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References 69 · Cited by 40

Authors
University of Göttingen, Diederich, S., Lembcke, T.-B., University of Göttingen, Brendel, A. B., Dresden, T., Kolbe, L. M., & University of Göttingen
Affiliations
University of Göttingen (DE)
Venue
AIS Transactions on Human-Computer Interaction
Published
2021-03-31
Pages
82-103
ISSN
1944-3900 (ISSN-L)
OpenAlex
W3152445296
Cited by
40
References
69
Citations by year
2026: 12 · 2025: 4 · 2024: 8 · 2023: 5 · 2022: 7 · 2021: 4
FWCI
2.12
Type
journal article
Language
en
Open access
Locations
  • AIS Transactions on Human-Computer Interaction (publishedVersion)
  • Journal of the Association for Information Systems (submittedVersion)
  • GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
Keywords
chatbots, anthropomorphism, uncanny valley, Computers Are Social Actors, perceived humanness, user perception, service satisfaction, familiarity, customer service automation, text-based chatbots

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