Research on machine teaching in which non-experts teach a model through a teachable interface.
Professor and Director of the HCIL, Niklas Elmqvist, reflects on his NSF Career Project.
UMD Human-Computer Interaction Lab’s (HCIL) 2019-2020 accomplishments
Research on participatory sensing, the practice of using human participants to gather data on their mobile devices from their environment that c …
The Teachable Object Recognizer mobile application uses AI and machine learning to help access the visual world.
A research team from the UMD HCIL lab examine the social acceptance of wearable cameras.
The UMD iSchool is pleased to share the full list of 2019-2020 college scholarship and award winners, totaling over $109K in support to 65 stude …
Student-Athletes’ Use of Their Performance Data; Evaluating Tech to Regulate Anxiety – UMD iSchool Papers Awarded at CHI 2020May 21, 2020 | iSchool News
The ACM annual Conference on Human Factors in Computing Systems (CHI) is considered the most prestigious in the field of human–computer interac …