An Experience Report on User-Centered Chatbot Design through Design Thinking

This paper presents an experience report on the application of Design Thinking to the development of a chatbot designed to facilitate community donations and exchanges. The approach was systematically conducted through the Inspiration, Ideation, and Implementation stages, employing participatory techniques such as interviews, empathy mapping, role storming, and MoSCoW prioritization. The resulting high-fidelity prototype was evaluated by six users, achieving average scores of 5.29 for perceived usefulness and 5.71 for intention to use (TAM), as well as 6.10 for attractiveness (AttrakDiff). Findings indicate that the structured application of Design Thinking supported the creation of interaction flows and features more closely aligned with real user needs, enhancing usability, attractiveness, and empathy in chatbot design. This work offers lessons learned and practical recommendations for teams seeking to adopt user-centered methodologies in conversational interface projects, contributing to the development of more effective and socially relevant solutions.

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Published
2025-09-22
DOI
https://doi.org/10.5753/wbots.2025.15205
Primary Topic
AI in Service Interactions
Type
article
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article

An Experience Report on User-Centered Chatbot Design through Design Thinking

Ricardo F. Vilela, Williamson Silva, Bergmann Morais Ribeiro, João Villa et al.
AI in Service Interactions
article

An Experience Report on User-Centered Chatbot Design through Design Thinking

Ricardo F. Vilela, Williamson Silva, Bergmann Morais Ribeiro, João Villa, Pedro Henrique Dias Valle, Leonardo G. Silva, Karulini Custódio de Souza
article en

Abstract

This paper presents an experience report on the application of Design Thinking to the development of a chatbot designed to facilitate community donations and exchanges. The approach was systematically conducted through the Inspiration, Ideation, and Implementation stages, employing participatory techniques such as interviews, empathy mapping, role storming, and MoSCoW prioritization. The resulting high-fidelity prototype was evaluated by six users, achieving average scores of 5.29 for perceived usefulness and 5.71 for intention to use (TAM), as well as 6.10 for attractiveness (AttrakDiff). Findings indicate that the structured application of Design Thinking supported the creation of interaction flows and features more closely aligned with real user needs, enhancing usability, attractiveness, and empathy in chatbot design. This work offers lessons learned and practical recommendations for teams seeking to adopt user-centered methodologies in conversational interface projects, contributing to the development of more effective and socially relevant solutions.

United Food and Commercial Workers (US), Universidad San Pedro (PE), Hospital de Clínicas da Unicamp (BR), Universidade Federal do Pampa (BR)
Openalex Percentile: Top 85%
AI in Service Interactions
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