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Karnawati Karnawati
State University of Semarang

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Designing Inclusive Companion Robots to Mitigate Bias and Enhance Empathy in AI-Driven Care Systems Karnawati Karnawati; Dwi Nur Ramadhan; Tiurida Lily Anita; Risma Nurmala; Lily Maria
Journal of Orange Technology Vol. 2 No. 2 (2026): April
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v2i2.76

Abstract

This study adopts a qualitative research approach using a semi-structured interview design. Data were collected from individuals with diverse physical, sensory, and cognitive disabilities who have prior experience interacting with AI-based care technologies. The data were analyzed using thematic analysis to identify recurring patterns and key experiential dimensions related to ethical perception, inclusivity, trust, emotional support, and well-being. The findings reveal that ethical AI design, particularly in terms of transparency, fairness, and privacy, plays a crucial role in fostering user trust and a sense of security. Inclusive design features, such as accessibility, adaptability, and personalization, were found to enhance user comfort, independence, and emotional engagement. Furthermore, emotional support emerged as a central theme, indicating that users perceive AI care agents not only as assistive tools but also as sources of psychological reassurance and companionship. This study contributes to the growing body of human-centered AI research by providing qualitative insights into how ethical and inclusive design principles shape meaningful user experiences and well-being outcomes among people with disabilities. The findings highlight the importance of integrating humanistic values into AI care development to promote equitable, responsible, and sustainable digital care solutions.
Co-Authors Dwi Nur Ramadhan Lily Maria Risma Nurmala Tiurida Lily Anita