Human-Centered Computing Workshop


Date: Monday, Apr 1st – 8:45am to 5pm
Location: Room 320, Pomerene Hall
Interest Form:
Supported by: College of Engineering, Translational Data Analytics Institute

UPDATE 3/25/2024: We have reached capacity for Undergraduate Student, Graduate Student, Staff, and Industry attendees. Registration is still open for Faculty attendees. If you are non-faculty and have previously registered, you are still confirmed to attend the event.

Featured Speakers


Human-Centered Computing is a cross-disciplinary research initiative that explores the full spectrum of human interaction with computing, ranging from hardware to AI, data, and human cognition. The workshop seeks to motivate collaboration and jumpstart discussions across the different facets and applications of Human-Centered Computing and provide an outlook on the current theory and practice.

Join us for engaging discussions, insightful presentations from industry and domain experts, and networking opportunities with like-minded professionals. Participants will explore key questions such as: What will a “computer” look like in the near future? How will we interact with them? What impact will such interaction have on our lives and on the technology we develop? How will we use such technology to accelerate, accommodate for, and amplify our abilities?

Schedule (tentative, expect changes)

Interest Form


Humans stand to benefit tremendously from the acceleration of developments in computing and AI. In this context, we recognize both the importance and limitations of the humans-in- the-loop. On one side, the training, design, and instructions from humans is a critical need for effective computing and AI. On the other side, humans are limited by their cognition, perceptual, and physical abilities. To address this duality, we envision an approach of amplifying intelligence, by designing for human interaction across the entire human-to-computing continuum. In this approach, human expertise, intent, and limitations are each factored into all parts of the computational stack.


Human-Computing Interdependence

Next-generation interaction requires innovative human-computing architectures, fostering collaboration and co-design for seamless integration into human workflows.

Attention, Explainability, and Expertise Amplification

Exploring the nexus of Attention, Explainability, and Expertise Amplification in AI systems, with a focus on optimizing outputs for human decision-making.

Blurring the divide between physical and digital worlds

Exploring the integration of physical and digital realms, we aim to harness augmented, virtual, and mixed reality to weave a digitally-enriched narrative of the real world.

Multimodal Interaction: Gestures, Speech, and Sensors

Navigating the landscape of human-computer interaction, our focus extends to multi-sensor architectures, utilizing computer vision and diverse sensing techniques to understand both human intent and state.


Arnab Nandi

(Project coord.) Interactive Data Infrastructure, Next-Gen Interfaces, Human-AI interaction.

Asimina Kiourti

Wearables, Implantables, Bio-electromagnetics, human sensing

Eric Fosler-Lussier

Speech and Language Processing, Human-AI Interaction

Han-Wei Shen

AI for sciences, Explainability, Visualization

Jian Chen

Visualization, Perception, Virtual Reality, Human-AI teaming

Kannan Srinivasan

Communications and Networking, Localization, IoT

Mike Rayo

Augmented Reality, Decision Support, Human-Machine Teaming

Hari Subramoni

Conversational AI, High Performance Computing, Deep Learning