Resuming the resume: Who am I?

My primary research areas are in the fields of Human-Computer Interaction (HCI), Human-Robot Interaction (HRI), Health Informatics (HI), and Artificial Intelligence (AI). Specifically, my research focuses on understanding and reducing the user burdens of interactive technologies for health professionals, patients, and people with disabilities through the design of future applications. During these years, I have designed, developed, and evaluated mobile, sensor, and collaborative applications for helping users (e.g., physicians, patients, and so on). Finally, my primary research methods involve human-centered design, technology development, and a mix of qualitative and quantitative methods.

FMCalisto

Just follow my GitHub profile for more:

github.com/FMCalisto

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Personalized AI for Medical Diagnosis: A Look Into the Future Published at #CHI2023

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Follow for more: twitter.com/FMCalisto/status/1641041068035657728 Exciting things are happening in the field of medical AI, and we're thrilled to share our latest research with you! At the upcoming CHI2023 conference, we'll present our work on "Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis." Our research explores how intelligent agents can better communicate with human clinicians by adapting their tone and explanations to the clinician's experience level. Follow for more: instagram.com/p/CqthnP_MIlW The potential benefits of personalized AI for medical diagnosis are vast. By customizing the communication style of intelligent agents, we can help reduce medical errors, increase clinician satisfaction, and improve patient outcomes. Our research shows that assertiveness is crucial in how communication is perceived. Personalizing assertiveness to the clinician's experience level can lead to more accurate diagnoses
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