News

Medium: Devices All The Way Down

Professor and Director of the HCIL, Niklas Elmqvist, reflects on his NSF Career Project.

Medium: HCIL 2019-2020 News Roundup

UMD Human-Computer Interaction Lab’s (HCIL) 2019-2020 accomplishments

Medium: Engaging the Commons in Participatory Sensing

Research on participatory sensing, the practice of using human participants to gather data on their mobile devices from their environm …

Getting Personal: How People Who are Blind Can Leverage AI to Access the Visual World

The Teachable Object Recognizer mobile application uses AI and machine learning to help access the visual world.

Medium: What If Blind People Wear a Camera That Can Detect You in Public Spaces? (by Kyungjun Lee)

A research team from the UMD HCIL lab examine the social acceptance of wearable cameras.

Student-Athletes’ Use of Their Performance Data; Evaluating Tech to Regulate Anxiety – UMD iSchool Papers Awarded at CHI 2020

The ACM annual Conference on Human Factors in Computing Systems (CHI) is considered the most prestigious in the field of human–comput …

How Data Visualization Helps Us to Approach the COVID-19 Pandemic

Toward Supporting Personalized Tracking Experiences in Healthcare (featuring Eun Kyoung Choe)

Figure 1: OmniTrack Interface / OmniTrack

Creating a New Type of Food Tracking App