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/

Social media address: https://www.researchgate.net/publication/352705291_Collaboration_With_AI-Based_Teammates_-_Evaluation_of_the_Social_Loafing_Effect

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