User Experience Engineering for Augmented & Virtual Reality | COGENT Lab | Virginia Tech

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USER EXPERIENCE (UX) ENGINEERING FOR AUGMENTED & VIRTUAL REALITY

DEVELOPING NEW METHODS FOR DESIGNING, PROTOTYPING AND EVALUATING AR/VR USER EXPERIENCES AND USER INTERFACES

The ability to optimize new AR- and VR-based user interfaces to support increased productivity and enhanced situational awareness provides the opportunity for transformation. To achieve this goal, we are developing, refining and applying a set of formal, structured processes collectively termed User Experience Engineering (UxE).

UxE is a cost-effective user-centered approach that ensures a high level of effectiveness, efficiency, and safety in complex interactive user interfaces. High usability – meaning the ease of use and usefulness of the system – is ensured via the UxE process, which revolves around early and continual representative user participation throughout the product lifecycle. While many organizations claim to “do usability”, Virginia Tech is an international leader in Usability and User Experience Engineering, having pioneered work in this field since 1979.

WE CONTINUE THIS IMPORTANT WORK BY EXPLORING:

Innovative design guidelines for engaging AR user interfaces

Adaptive and intelligent AR user interfaces

New methods to evolve AR-based gestures, voice, and touch interaction “on the go”

Longitudinal UxE processes to support large-scale applied AR system development

How users’ cogntiive styles effect AR interace design and use

SELECT PUBLICATIONS

Alex Krasner‡, Joseph L. Gabbard & Gary Burnett, "MusiKeys: Investigating Auditory-Physical Feedback Replacement Technique for Mid-air Typing," In 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2021, pp. 510-512, doi: 10.1109/ISMAR-Adjunct54149.2021.00124.

Nayara de Oliveira Faria‡, Chihab Nadri, Willie Brown‡, Julia Leeds, Rafael Patrick & Joseph L. Gabbard. "Redefining a Campus Tour Experience by Incorporating Immersive Technologies: Case Study at Virginia Tech." In IIE Annual Conference. Proceedings, pp. 1124-1129. Institute of Industrial and Systems Engineers (IISE), 2021.

Elisa S. Shernoff, Adam J. Lekwa, Stacy L. Frazier, Alban Delmarre, Joseph L. Gabbard, Daheng Zhang, Dulal Bhuamik & Christine Lisetti (2021). “Predicting Teacher Use and Benefit from Virtual Training in Classroom-Level Positive Behavioral Supports,” School Mental Health. https://doi.org/10.1007/s12310-021-09469-z

Alban Delamarre, Elisa S. Shernoff, Cédric Buche, Stacey L. Frazier, Joseph L. Gabbard & Christine Lisetti. (2021). "The Interactive Virtual Training for Teachers (IVT-T) to Practice Classroom Behavior Management." International Journal of Human-Computer Studies, 152: 102646.

Ethan P. Larsen, Ali Haskins Lisle‡, Bethany Law, Joseph L. Gabbard, Brian M. Kleiner & Raj M. Ratwani. (2021). "Identification of Design Criteria to Improve Patient Care in Electronic Health Record Downtime." Journal of patient safety 17, no. 2: 90-94.

Elisa S. Shernoff, Katherine Von Schalscha, Joseph L. Gabbard, Alban Delmarre, Stacy L. Frazier, Cedric Buche & Christine Lisetti. (2020). "Evaluating the Usability and Instructional Design Quality of Interactive Virtual Training for Teachers (IVT-T)." Educational Technology Research and Development 68, no. 6: 3235-3262.

Ali Haskins Lisle, Coleman Merenda‡ & Joseph L. Gabbard, (2020), "Using Affinity Diagramming to Generate a Codebook: a Case Study on Young Military Veterans and Community Reintegration." Qualitative Research 20, no. 4: 396-413.