Holle Christensen publishes on experience analytics

Student Holle Christensen's short paper Experience analytics: developing a scalable, implicit and rich measure of user experience was accepted at the Triangulation in UX Studies:  Learning from Experience Workshop at the ACM Conference on Designing Interactive Systems (DIS) in Edinburgh, Scotland!

Experience analytics: developing a scalable, implicit and rich measure of user experience
Johanne Christensen and Benjamin Watson

Triangulation in UX Studies:  Learning from Experience Workshop
ACM Conference on Designing Interactive Systems (DIS) 2017, to appear.

Abstract
New measures of user experience must be defined that can combine the scalability and unobtrusiveness of activity traces with the richness of more traditional measures. Machine learning can be used to predict established UX measures from such activity traces. We advocate research into the type of activity traces needed as input for such measures, the machine learning technology needed, and the user experience components and measures to be predicted.

My recent presentation on location experience at NC State's Geospatial Analytics Center

NC State's Geospatial Analytics Center recently invited me to give a talk. It went well; at least my hosts said that the audience interacted more with me than any other presentation yet!

Location Experience: Where We’ve Been, Are, and May Be
September 1, 2016 @ 3:30 pm - 4:30 pm

Finding our way has always been necessary, and we have always tried to make it easier. Yet today, wayfinding is changing so rapidly that it makes our heads spin. What have we lost? What might we gain? I will use a review of wayfinding past, present and future to raise such questions; arguing that the enjoyment we experience along the way is now just as important as the efficiency with which we find the way’s end.

Adam Marrs publishes on multiview rendering (updated)

Student Adam Marrs presented his paper Real-Time View Independent Rasterization for Multi-View Rendering at Eurographics 2017 in Lyon, France! 

Real-Time View Independent Rasterization for Multi-View Rendering
Adam Marrs, Benjamin Watson, and Christopher G. Healey
North Carolina State University

Eurographics 2017 (to appear)

Abstract
Existing graphics hardware parallelizes view generation poorly, placing many multi-view effects – such as soft shadows, defocus blur, and reflections – out of reach for real-time applications. We present emerging solutions that address this problem using a high density point set tailored per frame to the current multi-view configuration, coupled with relatively simple reconstruction kernels. Points are a more flexible rendering primitive, which we leverage to render many high resolution views in parallel. Preliminary results show our approach accelerates point generation and the rendering of multi-view soft shadows up to 9x.