Kashif Farhat

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About

Kashif Farhat is a leading researcher at the intersection of artificial intelligence and consumer behavior, with a primary focus on the acceptance and adoption of emerging service technologies. His work is particularly influential in the domain of human-computer interaction, where he investigates how users perceive and integrate chatbots and other conversational agents into their daily lives. Farhat’s major contribution lies in extending the service robot acceptance model (sRAM) to specifically address the unique drivers of chatbot acceptance. His most-cited paper, “Chatbots in the frontline: drivers of acceptance” (2022, 55 citations), provides a comprehensive framework that integrates functional, relational, social, user, and gratification elements to explain why people choose to engage with these digital assistants. This work is foundational for both academics and practitioners seeking to design more effective and user-friendly AI interfaces. By bridging theoretical models with practical insights, Farhat’s research offers a critical roadmap for the future of automated customer service and human-robot interaction, establishing him as a key voice in understanding the psychological and social dynamics of our increasingly AI-mediated world.