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Breaking Down Barriers : How Conversational Agents Facilitate Open Science and Data Sharing
Mirbabaie, Milad; Rieskamp, Jonas; Hofeditz, Lennart; u. a. (2024): Breaking Down Barriers : How Conversational Agents Facilitate Open Science and Data Sharing, in: Tung X. Bui und Tung X. Bui (Hrsg.), Proceedings of the 57th Annual Hawaii International Conference on System Sciences, Honolulu, HI, S. 672–681, doi: 10.24251/HICSS.2024.080.
Author:
Title of the compilation:
Proceedings of the 57th Annual Hawaii International Conference on System Sciences
Editors:
Bui, Tung X.
Corporate Body:
Department of IT Management, Shidler College of Business, University of Hawaii
Conference:
57th Annual Hawaii International Conference on System Sciences, January 3-6, 2024 ; Honolulu, Hawaii
Publisher Information:
Year of publication:
2024
Pages:
ISBN:
978-0-9981331-7-1
Language:
English
Abstract:
Many researchers hesitate to provide full access to their datasets due to a lack of knowledge about research data management (RDM) tools and perceived fears, such as losing the value of one's own data. Existing tools and approaches often do not take into account these fears and missing knowledge. In this study, we examined how conversational agents (CAs) can provide a natural way of guidance through RDM processes and nudge researchers towards more data sharing. This work offers an online experiment in which researchers interacted with a CA on a self-developed RDM platform and a survey on participants’ data sharing behavior. Our findings indicate that the presence of a guiding and enlightening CA on an RDM platform has a constructive influence on both the intention to share data and the actual behavior of data sharing. Notably, individual factors do not appear to impede or hinder this effect.
Keywords: ;  ;  ;  ;  ; 
Open Science Practices in Information Systems Research
conversational agents
data sharing
digital nudging
open science
research data management
Peer Reviewed:
Yes:
International Distribution:
Yes:
Open Access Journal:
Yes:
Type:
Conferenceobject
Activation date:
May 15, 2024
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/95262