Helena M. Mentis, Ph.D.
mentis at umbc dot edu
Department of Information Systems
University of Maryland, Baltimore County
1000 Hilltop Circle
Baltimore, Maryland 21250
Office: ITE 431
I am an assistant professor in the Department of Information Systems at the University of Maryland, Baltimore County (UMBC) and the director of the Bodies in Motion Lab.
My research interests span the areas of human-computer interaction (HCI), computer supported cooperative work (CSCW), and health informatics. I'm most interested in designing for movement-based interaction, specifically using commercially available sensors such as the Microsoft Kinect or Leap Motion device. Because of my interest in health I am fascinated with the body - how it makes us feel, how we perceive it, and how we use it to express ourselves. I’ve conducted research on using touchless interaciton in the operating room, the challenges with training gestural systems, how to sense and perceive movement qualities, the place for gestural interaction in the home, and designing for somaesthetic awareness through movement in the dark. I have employed a variety of methods in my work, but primarily I perform participant observations and interviews throughout a design research process.
Prior to my position at UMBC, I was an ERCIM postdoctoral researcher at Mobile Life in Sweden, held a joint postdoctoral fellowship at Microsoft Research Cambridge and Corpus Christi College at the University of Cambridge, and then went on to serve as a research fellow at Harvard Medical School. I received a PhD in Information Sciences and Technology from Penn State, MS in Communication from Cornell, and BS in Psychology from Virginia Tech.
Investigating the use and design of touchless systems (e.g. gestural, voice control, heads up displays) for seeing, coordinating, and learning around medical images in the operating room. The introduction of touchless interaction into this environment allows surgeons not only to maintain a sterile environment while accessing new functionality, but also gives them an opportunity to explore and discuss the imaging data to make informed surgical decisions.Video explaining how our first Kinect system worked (2013)
Investigating the benefits of presenting Parkinson’s patient with sensor-based assessments of movement as well as collecting self-assessed impairment to be presented alongside sensor-based symptom data on patient quality of life, patient empowerment, and clinical treatment decision-making. This area of study emphasizes the need for integrating a patient’s subjective assessment of motor impairment into objective motor sensing data in order to provide a more complete view of the patient’s illness.Mentis, H., Shewbridge, R., Powell, S., Fishman, P., & Shulman, L. (to appear). Being seen: Co-Interpreting Parkinson’s Patient’s Movement Ability in Deep Brain Stimulation Programming. Proceedings of the Conference on Human Factors in Computing Systems (CHI), Seoul, South Korea (pp. xx-xx), New York:ACM.
Investigating the applicability of movement sensors align with the experience of movement or with the professional vision of movement assessment. Much of this work has occurred outside of health contexts - including dance, museums, and gaming in the home. The lessons learned, though, provide insights on how to use, train, and appropriate movement sensors for specific human-centered contexts.Mentis, H., Laaksolahti, J., & Höök, K. (2014). My Self and You: Tension in Bodily Sharing of Experience. ACM Transactions on Computer-Human Interaction, 21(4), article 20.
CACM article: Touchless Interaction in Surgery
Fieldwork for Healthcare: Case Studies Investigating Human Factors in Computing Systems
Fieldwork for Healthcare: Guidance for Investigating Human Factors in Computing Systems