Why Do We Turn to Virtual Companions? A Text Mining Analysis of Replika Reviews [Warum wenden wir uns virtuellen Begleitern zu? Eine Text-Mining-Analyse von Replika-Bewertungen]Open Access

Siemon, Dominik; Strohmann, Timo; Khosrawi-Rad, Bijan; de Vreede, Triparna; Elshan, Edona; Meyer, Michael

Research article in edited proceedings (conference) | Peer reviewed

Abstract

Many people globally experience the feeling of loneliness and struggle with its consequences. A modern way to deal with this loneliness and lack of companionship is to use empathetic and emotional conversational agents. Often referred to as virtual companions, these agents can engage in human-like conversations with their users and build relationships with them through modern artificial intelligence technologies. One established service of such virtual companions is Replika, which we investigate in this study to explore what users expect to gain from long-term interactions with virtual companions and what they tend to talk about with them. Using a text mining approach and 119,831 reviews of the Replika service, we analyze users' sentiments, emotions, and topics. Our results show that users interact with virtual companions to cope with their loneliness and, especially, to address their mental well-being. Furthermore, Replika users have a joyful and beneficial experience during long-term interaction with such virtual companions.

Details about the publication

EditorsAguirre-Urreta, Miguel I.; Wu, Dezhi; Jenkins, Jeff
Book titleAMCIS 2022 Proceedings
Page range1288-1288
PublisherAIS eLibrary
Place of publicationMinnesota
Title of seriesSIG HIC - Human Computer Interaction
Volume of series10
StatusPublished
Release year2022 (10/08/2022)
Language in which the publication is writtenEnglish
ConferenceTwenty-eighth Americas Conference on Information Systems, 10.-14.08.2022, Minneapolis, United States
ISBN978-1-958200-00-1
Link to the full texthttps://aisel.aisnet.org/amcis2022/sig_hci/sig_hci/10
KeywordsConversational Agent, Virtual Companion, Chatbot, Replika, Text Mining

Authors from the University of Münster

Strohmann, Timo
Chair of Information Systems and Business Process Management (Prof. vom Brocke) (BPM)