Matt Schroder
Papers
1
Total Citations
5
H-Index
1
About
Matt Schroder is a researcher at the forefront of human-computer interaction, with a focus on developing tools and methodologies for capturing and analyzing complex, multimodal data. His primary research areas include asynchronous data collection, annotation systems, and the study of human behavior during computer-mediated interactions. Schroder’s most notable contribution is the creation of a novel data collection and annotation tool, detailed in his 2022 paper "A Data Collection and Annotation Tool for Asynchronous Multimodal Data During Human-Computer Interactions." This work addresses a critical gap in HCI research by enabling researchers to synchronize and annotate diverse data streams—such as video, audio, and screen recordings—from non-real-time interactions. The tool has already garnered 5 citations, signaling its growing utility in the field. Schroder’s work is particularly impactful for studies on remote collaboration, usability testing, and behavioral analysis, where asynchronous interactions are increasingly common. By streamlining the often cumbersome process of multimodal data management, he is empowering other researchers to conduct more rigorous and efficient studies, paving the way for deeper insights into how people engage with technology in naturalistic settings.
Research Focus
Key Achievements
Top Papers
- 1