HMI Lab Research

Welcome to the Human-Machine Interaction (HMI) Lab at IIIT-Delhi!

At the Human-Machine Interaction (HMI) Lab at the Indraprastha Institute of Information Technology, Delhi, we’re not just building machines; we’re crafting the future of connection. Founded by the visionary Dr. Jainendra Shukla, our lab is a vibrant hub dedicated to pioneering research in emotionally intelligent human-machine interactions.

Inspired by the profound wisdom of Professor Marvin Minsky, who challenged us to consider “The question is not whether the intelligent machines can have any emotions, but whether machines can be intelligent without any emotions,” we’ve embraced a core mission: to explore and enable machines to understand, respond to, and even express emotions. We believe that true intelligence goes beyond mere computation, extending into the rich tapestry of human affect and social dynamics.

Our journey delves deep into the fundamental question of how affective and social contexts shape human behavior. By unraveling these intricate connections, we strive to leverage this profound knowledge to craft sophisticated computational models that empower genuinely emotionally intelligent interactions between humans and machines. Imagine a future where your technology doesn’t just respond to your commands, but truly comprehends your feelings, anticipates your needs, and communicates with empathy.

To achieve this ambitious goal, we employ a unique and powerful blended methodology. Our research seamlessly integrates rigorous behavioral and physiological analyses, providing a holistic understanding of human responses. This interdisciplinary approach positions our work at the exciting crossroads of Computer Science, Design, and Psychology, fostering innovation that is both technologically advanced and deeply human-centric.

Join us as we redefine the boundaries of interaction, creating a world where machines aren’t just tools, but intuitive, understanding, and even emotionally resonant companions.

53

Alumni

23

Publications

2

Undergraduates

08

PhD Scholars

Selected Publications

Predictive ASD Behavior Analysis

IEEE Transactions on Artificial Intelligence, 2024.

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ExpressEar

Sensing Fine-Grained Facial Expressions with Earables. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT, (UbiComp/ISWC)' 2021.

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VR and Screen Gaming Responses

IEEE Transactions on Affective Computing, 2024.

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Predicting Listener Backchannels

Exploring Semi-Supervised Learning for Predicting Listener Backchannels CHI' 2021.

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Emotion Recognition from Electrodermal Activity

Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity IEEE Transactions on Affective Computing' 2021.

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Robot Assisted Interventions for Intellectual Disabilities

Robot Assisted Interventions for Individuals with Intellectual Disabilities: Impact on Users and Caregivers International Journal of Social Robotics' 2019.

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