Jacky Casas

Papers

Total Citations

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About

Jacky Casas is a researcher at the intersection of human-computer interaction and conversational AI, with a focus on designing empathetic and effective chatbot systems. His most cited work, "Empathic Chatbot Response for Medical Assistance" (2020, 42 citations), explores a critical question: can text-based medical chatbots meaningfully convey empathy to improve user experience? Casas investigated how short-term text conversations alone can be leveraged to build empathic responses, developing two distinct medical assistant chatbots designed to diagnose physical health problems. This research has significant implications for the deployment of AI in healthcare, particularly in triage and preliminary diagnosis, where user trust and comfort are paramount. By demonstrating that even simple empathic cues can enhance user perception without requiring complex emotional modeling, Casas’s work provides a practical framework for improving patient-facing digital health tools. His contributions help bridge the gap between functional medical AI and the human need for compassionate care, making him a notable voice in the design of socially aware conversational agents.