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Mixed-methods analysis explores the impacts of anthropomorphic robots on patient perceptions and service quality in Indian healthcare, suggesting important implications.
This study investigates the role of anthropomorphic robots in the Indian healthcare service industry, focusing on their adoption, patient perceptions, and impacts on service quality. Using a mixed-methods approach combining qualitative interviews and a large-scale quantitative survey, we explore how anthropomorphism influences the integration of service robots in the culturally diverse and resource-constrained Indian healthcare environment. Our findings reveal that anthropomorphic features significantly enhance patient trust and engagement, leading to improved perceptions of service quality. However, cultural factors and ethical considerations moderate these effects. This research contributes to the literature on human-robot interaction (HRI) in healthcare, service quality in emerging economies, and the role of anthropomorphism in technology adoption. We provide actionable insights for healthcare providers, policymakers, and robot designers to optimise the integration of anthropomorphic robots in Indian healthcare services.
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Arpan Anand (2025) studied this question.
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