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

Titelangaben

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

Volltext

Link zum Volltext (externe URL):

Abstract

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.