Litcius/Paper detail

The Influence of AI-Based Chatbots and Their Design on Users’ Trust and Information Sharing in Online Loan Applications

Naim Zierau, Korbinian Flock, Andreas Janson, Matthias Söllner, Jan Marco Leimeister

2021Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences21 citationsDOIOpen Access PDF

Abstract

Based on recent advances in Artificial Intelligence (AI), chatbots are now increasingly offered as an alternative source of customer service. For their uptake user trust in critical. However, little is known about how these interfaces fundamentally influence trust perceptions. In particular, it’s unclear what exactly causes perceptual differences - the change towards a conversational interface or the usage of anthropomorphic design elements. In this study, an online experiment with 160 participants was conducted to examine the differential effects of conversational interaction and anthropomorphism on trust in the interface or the provider within the context of online loan applications. The results show that both treatment conditions affect trust in the interface and the provider by increasing perceptions of social presence. Meanwhile, trust in the interface significantly effects the intention to share information, while trust in the provider has no effect on behavioral intention.

Topics & Concepts

Affect (linguistics)Context (archaeology)PerceptionComputer scienceInterface (matter)LoanService providerCustomer serviceChatbotService (business)User interfaceHuman–computer interactionInternet privacyWorld Wide WebPsychologyBusinessMarketingBiologyPaleontologyCommunicationNeuroscienceMaximum bubble pressure methodBubbleFinanceParallel computingOperating systemAI in Service InteractionsDeath Anxiety and Social ExclusionOrganizational and Employee Performance