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How Can Organizations Design Purposeful Human-AI Interactions : A Practical Perspective From Existing Use Cases and Interviews

Title data

Hinsen, Silvana ; Hofmann, Peter ; Jöhnk, Jan ; Urbach, Nils:
How Can Organizations Design Purposeful Human-AI Interactions : A Practical Perspective From Existing Use Cases and Interviews.
2022
Event: 55th Hawaii International Conference on System Sciences (HICSS) , 03.-07.Jan. 2022 , Kauai, USA (virtual).
(Conference item: Conference , Speech )

Official URL: Volltext

Abstract in another language

Artificial intelligence (AI) currently makes a tangible impact in many industries and humans’ daily lives. With humans interacting with AI agents more regularly, there is a need to examine human-AI interactions to design them purposefully. Thus, we draw on existing AI use cases and perceptions of human-AI interactions from 25 interviews with practitioners to elaborate on these interactions. From this practical lens on existing human-AI interactions, we introduce nine characteristic dimensions to describe human-AI interactions and distinguish five interaction types according to AI agents’ characteristics in the human-AI interaction. Besides, we provide initial design guidelines to stimulate both research and practice in creating purposeful designs for human-AI interactions.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Keywords: Artificial Intelligence; Human-AI Interaction; Design Guidelines; Interview Study
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 29 Sep 2021 09:18
Last Modified: 29 Sep 2021 09:18
URI: https://eref.uni-bayreuth.de/id/eprint/67133