A4 Conference proceedings

Collaboration With AI-Based Teammates – Evaluation of the Social Loafing Effect


Publication Details
Authors: Siemon Dominik, Wank Friederike
Publication year: 2021
Language: English
Related journal or series: Pacific Asia Conference On Information Systems
Title of parent publication: PACIS 2021 Proceedings
Journal acronym: PACIS
Volume number: 146
JUFO level of this publication: 1
Permanent website address: https://aisel.aisnet.org/pacis2021/146/
Open Access: Not an Open Access publication

Abstract

Individuals tend to engage with reduced motivation and effort when working collectively in a group as opposed to when working individually on a task. In the conducted research, an artificial intelligence (AI)-based teammate is proposed to trigger this phenomenon called social loafing. An experimental study tests, if humans social loaf when collaborating with an AI-based teammate and how AI-based teammates affect social loafing of humans in collaboration. The results show no significant difference regarding the expected and perceived exertion of effort in the evaluation of co-workers, but the analysis of collaboration transcript reveals less detail and length of contributions in the experimental condition. The findings contribute to existing theories of human-AI collaboration and the understanding of the social response theory and the social loafing effect when collaborating with AI


Last updated on 2021-30-07 at 11:04