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.
In: Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS). - Kauai, USA , 2022
ISBN 978-0-9981331-5-7

Official URL:

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:	Article in a book
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 Faculties Faculties > Faculty of Law, Business and Economics
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:	30 May 2022 09:10
URI:	https://eref.uni-bayreuth.de/id/eprint/67133