Proactive and Reactive Help from Intelligent Agents in Identity-Relevant Tasks

Simple item page
dc.contributor.authorGoutier, Marc
dc.contributor.authorDiebel, Christopher
dc.contributor.authorAdam, Martin
dc.contributor.authorBenlian, Alexander
dc.date.accessioned2023-12-26T18:36:06Z
dc.date.available2023-12-26T18:36:06Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2023.048
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.othere1b32c05-8c9e-46d3-8e4b-5b2d09501897
dc.identifier.urihttps://hdl.handle.net/10125/106423
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCollaboration with Intelligent Systems: Machines as Teammates
dc.subjectidentity-relevant tasks
dc.subjectintelligent agents
dc.subjectproactive and reactive help
dc.subjectself-affirmation theory
dc.titleProactive and Reactive Help from Intelligent Agents in Identity-Relevant Tasks
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractEnabled with artificial intelligence (AI), intelligent agents in information systems have developed from passive tools that only help in return to user prompts (i.e., reactive help) to intelligent agents that can help without requiring user requests (i.e., proactive help). Yet, it is unclear how users react to these different types of help and whether the task creates or reinforces the users’ identity (i.e., identity-relevance). Against this backdrop, we drew on self-affirmation and identity theory and conducted a vignette-based online experiment (n = 135). Our results show that proactive (vs. reactive) help decreases users’ willingness to accept help because of users’ higher perceived self-threat (i.e., threat to their self-image). Identity-relevance of the task moderates this effect – high (vs. low) identity-relevance causes a greater increase in self-threat through proactive (vs. reactive) help. Our study contributes to a better understanding of help from intelligent agents and their implications for effective human-AI collaboration.
dcterms.extent10 pages
prism.startingpage401

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0040.pdf
Size:
589.03 KB
Format:
Adobe Portable Document Format
Download

Collections

Collaboration with Intelligent Systems: Machines as Teammates