Interview Bot: Can Agentic LLM’s Perform Ethnographic Interviews?

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Abstract

Chatbots based on large language models present a scalable and consistent alternative to human interviewers for collecting qualitative data. In this paper, we introduce the agentic chatbot “Interview Bot”, designed to mimic human adaptability and empathy in an interview setting. We explore to what extent it can handle the nuances and open-ended nature of ethnographic interviews. Our findings indicate that chatbots can engage participants and collect meaningful data, but that they still sometimes fall short of fully replicating human facilitated interviews. Not withstanding challenges with the current state of the art, in the medium term, LLM-based agents hold great potential for scaling qualitative research beyond the confines of geographical, cultural, and language boundaries.

OriginalsprogEngelsk
TitelProceedings of the 17th International Conference on Agents and Artificial Intelligence -
Vol/bind1
Publikationsdato2025
Sider702-709
ISBN (Trykt)978-989-758-737-5
DOI
StatusUdgivet - 2025
Begivenhed17th International Conference on Agents and Artificial Intelligence, ICAART 2025 - Porto, Portugal
Varighed: 23. feb. 202525. feb. 2025

Konference

Konference17th International Conference on Agents and Artificial Intelligence, ICAART 2025
Land/OmrådePortugal
ByPorto
Periode23/02/202525/02/2025
NavnInternational Conference on Agents and Artificial Intelligence
ISSN2184-3589

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