As a discipline, Human-Computer Interaction focuses on the design, evaluation, and implementation of computing systems–often those that are user facing. The field of HCI sits at the intersection of computer science, psychology, and design. Thus, a practical understanding of software engineering, machine learning, signal processing, and other exciting areas of computer science is combined with knowledge of human factors that influence the design and implementation of technology. As a result, HCI research is highly interdisciplinary and focuses on the entire technology life-cycle including: observing the way humans interact with computing technologies for requirement gathering and needfinding, evaluating hardware and software prototypes using qualitative and quantitative methods, measuring the impact computing technologies have on society, and resolving inequities in access.
- Roghayeh (Leila) Barmaki, Assistant Professor: Human-Centered Computing; Future User Interfaces; Augmented, Mixed and Virtual Reality; Educational Technology; Multimodal Machine Learning.
- Matthew Louis Mauriello, Assistant Professor: Software Architecture; Internet-of-Things; Cyber-Physical Systems; Human-Centered Computing; Sensing; Behavior Change; Sustainability; Education; Health & Wellbeing; Human-Building Interactions.
- CISC 482/682: Introduction to Human-Computer Interaction
- CISC 467/667: Computing for Social Good
- VIP: VR (CISC187)
- VIP: SOCIAL COMPUTING (CISC187)
Human-Computer Interaction Laboratories
119 South Main Street, Professor Leila Barmaki.
The Human-Computer Interaction Lab at the University of Delaware (HCI@UD) investigates how immersive technologies, such as augmented and virtual reality(AR/VR), can be used and evaluated for elevating user experience. While we use tools and methods from human-computer interaction to create those experiences, we collect user data from wearables, and sensors, and finally apply machine learning and affective computing techniques atop multimodal data to perceive and assess user-centric metrics like emotions and affect, engagements, and self-efficacy.
Professor Matthew Louis Mauriello.
The Sensify Lab at the University of Delaware focuses on sensing and data analysis techniques for detecting physical and behavioral phenomena that enable new interactions with technology. Particular emphasis is placed on human-centered design, cyber-physical and software systems that extend user capabilities, and practical applications of technology that address high-value social problems. Areas of interest include: education, health & wellbeing, environmental sustainability, human-building interactions, physical making, and games.