Item Type |
Conference or Workshop Item
(Paper)
|
Abstract |
AI-assisted Design Thinking shows great potential for supporting collaborative creative work. To foster creative thinking processes within teams with individualized suggestions, AI has to rely on data provided by the teams. As a prerequisite, team members need to weigh their disclosure preferences against the potential benefits of AI when disclosing information. To shed light on these decisions, we identify relevant information such as emotional states or discussion arguments that design thinking teams could provide to AI to enjoy the benefits of its support. Using the privacy calculus as theoretical lens, we draft a research design to analyze user preferences for disclosing different information relevant to the service bundles that AI provides for respective information. We make explorative contributions to the body of knowledge in terms of AI use and its corresponding information disclosure. The findings are relevant for practice as they guide the design of AI that fosters information disclosure. |
Authors |
Cvetkovic, Izabel; Oeste-Reiß, Sarah; Lehmann-Willenbrock, Nale & Bittner, Eva |
Research Team |
IWI6 |
Journal or Publication Title |
European Conference on Information Systems (ECIS) |
Language |
English |
Keywords |
DesignThinking Human-AICollaboration InformationDisclosure UIDesign cepub itegpub pubsoe |
Subjects |
information management |
HSG Classification |
contribution to scientific community |
Date |
18 June 2022 |
Place of Publication |
Timisoara, Romania |
Number of Pages |
13 |
Event Title |
European Conference on Information Systems (ECIS) |
Event Location |
Timisoara, Romania |
Event Dates |
18-24 Jun 2022 |
Depositing User |
Anonymous Anonymous
|
Date Deposited |
11 May 2022 14:17 |
Last Modified |
03 Aug 2022 10:25 |
URI: |
https://www.alexandria.unisg.ch/publications/266254 |