The Human-Computer Interaction (HCI) Lab develops tools and methodologies to assess user attitudes, motivation, decision-making, knowledge, and behavior, as well as product use (and misuse) and perceptions of products usability, utility and safety. Methods to elicit and categorize knowledge, perception, affect and attitude are the primary focus of our assessment activities.
Recent projects in this lab include:
- Capturing Knowledge & Nuance from Expert Processes; Applying qualitative and quantitative techniques in identifying experts' tacit knowledge to accelerate training for novices.
- Technology Platform for Sustainable Agriculture; Integrating technology to actively manage soil and plant biology to reduce inputs, increase yields, and ultimately benefit human health.
- Usability Engineering Processes for Emerging Domains Extending elicitation, user-centered design and evaluation methods to better serve interdisciplinary data-intensive science.
The HCI Lab is equipped with a suite of standard and novel tools necessary for conducting basic HCI and applied usability engineering studies. These include:
- Observation room with one-way glass for conducting usability studies
- Tobii X2-60 eye tracker for gaze and scan path analysis
- Apple iPad for tablet-based user interaction
- Neural Impulse Actuator brain-computer interface to measure and analyze brain activity
- Galvanic skin response measurement devices for biometric measures
- Gyro Trackers for user motion capture and analysis
- Jongsoon Park & Joseph L. Gabbard. “An Exploratory Study to Understand Knowledge-sharing in Data-intensive Science”. In Human-Computer Interaction. Users and Contexts of Use. Springer Berlin Heidelberg, 217-226, Las Vegas, Nevada, USA, July 21-26, 2013.
- Jon Weekly, Joseph L. Gabbard & Jerzy Nowak. “Micro-level Management of Agriculture Inputs: Emerging Approaches”. Agronomy 2(4): Special Issue on Sustainable Crop Management, 321-357. 2012.
- Tim Driscoll, Joseph L. Gabbard, Chunhong Mao, Oral Dalay, Maulik Shukla, Clark C. Freifeld, Anne Gatewood Hoen, John S. Brownstein JS, Bruno W. Sobral. “Integration and Visualization of Host-pathogen Data Related to Infectious Diseases”. Bioinformatics 27(16), pp. 2279-2287. 2011.