Publication in conference proceedings
Mapping relationship dynamics in marketing: A text-mining approach for human–AI interaction studies
Behnam Zendehdel Nobari (Nobari, B.); João Guerreiro (Guerreiro, J.); Sandra Loureiro (Loureiro, S. M. C.);
Proceedings of AIRSI2025
Year (definitive publication)
2025
Language
English
Country
Spain
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(Last checked: 2026-10-18 20:12)

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Abstract
Artificial intelligence (AI) is profoundly transforming the business landscape, economic structures, and societal interactions by redefining stakeholder and citizen experiences and relationships(Loureiro et al., 2021). In the current digital era, artificial intelligence (AI) is anticipated to significantly transform the job market, particularly through the deployment of text-based conversational agents such as chatbots(Letheren et al., 2020). Despite the widespread adoption of chatbots by numerous business leaders in recent years, consumer acceptance and sustained usage remain comparatively limited(Forbes, 2019). Research on artificial intelligence (AI) has emerged from various fields of study. However, progress in AI development has largely occurred in isolated domains, with limited interdisciplinary collaboration(Loureiro et al., 2021). One of the vital areas of research in the field of intelligent chatbots is examining how humans understand and interact with these systems.
Acknowledgements
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Keywords
Relationship dynamics,Chatbot,Text mining