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

Conference Paper (2022)
Author(s)

D. Bulygin (TU Delft - Internet of Things)

Internet of Things
Copyright
© 2022 D. Bulygin
DOI related publication
https://doi.org/10.1145/3490100.3516478
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 D. Bulygin
Internet of Things
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
124-128
ISBN (electronic)
978-1-4503-9145-0
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

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.

Files

3490100.3516478.pdf
(pdf | 0.8 Mb)
- Embargo expired in 01-07-2023
License info not available