Psychology of Design (PoD) Laboratory

If we are to use computing systems safely, effectively, and intuitively, we must understand the cognitive processes that modulate visual search. The objective of this research is to contribute to visual saliency theory and translate discoveries into the interface design literature. Salience implicitly guides attention within an interface (Still & Masciocchi, 2010; Masciocchi & Still, 2013). The more quickly and accurately the userís attention can be guided to a target element, the easier an interface is to use. Visual saliency models provide a means to capture stimulus-driven properties that are not apparent to designers.

Previous Research

We recently proposed the Attentional Priority (AP) model, which greatly improves the predictive performance of the saliency model within web pages (Still, accepted). It combines a computational saliency model (Itti, Koch, & Niebur, 1998) predictions with web page specific spatial biases. These biases can manifest as conventions (Still & Dark, 2013), learned from common design patterns, which implicitly guide usersí expectations. We also showed that saliency can predict attentional deployment within mobile screens (Still, Hicks, Cain, & Billman, accepted; Proceedings of Interactional Conference on Cognitive and Neuroergonomics). This is an important question as much of our daily interactions with computing technology are now more with mobile devices. Finally, we started to examine the possible interaction between visual complexity (define here as clutter) and saliency (Hicks, Cain, & Still, accepted; Proceedings of HFES Conference). Of course, these studies are just beginning of the research needed to further understand visual saliency and attempt to translate it in a useful way for interface designers.

Future Research

This use-inspired basic research (Stokes, 1997) will continue to explore the influence of saliency within novel stimuli and reveal an array of unanswered questions about the boundary conditions of saliency. There is clear value in being able to predict and direct attention with saliency within interfaces, but current research offers limited guidance to interface designers. Our future work will focus on understanding visual saliency from both basic and applied perspectives.

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