Barreiros Carla, Veas Eduardo Enrique, Pammer-Schindler Viktoria
2016
Pre-attentive Features in Natural Augmented Reality Visualizations
2016 IEEE International Symposium on Mixed and Augmented Reality Adjunct Proceedings ISMAR 2016 IEEE International Symposium on Mixed and Augmented Reality Adjunct Proceedings Merida, Yucatan, Mexico
The movement towards cyberphysical systems and Industry 4.0promises to imbue each and every stage of production with a myr-iad of sensors. The open question is how people are to comprehendand interact with data originating from industrial machinery. Wepropose a metaphor that compares machines with natural beingsthat appeal to people by representing machine states with patternsoccurring in nature. Our approach uses augmented reality (AR)to represent machine states as trees of different shapes and col-ors (BioAR). We performed a study on pre-attentive processing ofvisual features in AR to determine if our BioAR metaphor con-veys fast changes unambiguously and accurately. Our results indi-cate that the visual features in our BioAR metaphor are processedpre-attentively. In contrast to previous research, for the BioARmetaphor, variations in form induced less errors than variations inhue in the target detection task.