How do Conversational Agents Transform Qualitative Interviews? Exploration and Support of Researchers’ Needs in Interviews at Scale

Autor: Denis Bulygin
Rok vydání: 2022
Předmět:
Zdroj: 27th International Conference on Intelligent User Interfaces.
DOI: 10.1145/3490100.3516478
Popis: In recent years, conversational agents (CAs) have been receiving more attention as tools for collecting data through qualitative interviews. The problem is we know little about how CAs affect both the interviewees and interviewers. This PhD project is dedicated to studying how to evaluate CA-mediated interviews and their effects on participants (both interviewees and interviewers). The findings of this project will allow us to support the interview practitioners with the tools for interview analytics and interview data analysis. It will be especially helpful in the large-scale settings which CA-mediated interviews enable. This proposal describes State-of-the-art on the topic and presents the motivation of a study with key research questions to answer.
Databáze: OpenAIRE