Our paper on how estimating color-concept associations from images will be published in IEEE Transactions on Visualization and Computer Graphics (TVCG) and presented at InfoVis 2019. This study assessed different methods for estimating color-concept associations from image statistics. The most effective model used features that were relevant to human perception and cognition—features aligned with perceptual dimensions of color space and a feature that extrapolated to all colors within a color category.
We are excited to welcome Christopher Thorstenson, who joined our lab in June 2019. Christopher received his Ph.D. in Social & Personality Psychology from the University of Rochester in 2019, and his M.S. in Color Science at the Rochester Institute of Technology in 2017. His research focuses on the role of color in social communication.
Brianne Sherman received a Welton Sophomore Honors Summer Apprenticeship to support her summer research studying the effects of object recognition on color perception. We are excited to have Bri in the lab!
Congrats to Melissa Schoenlein, Shannon Sibrel, and Karen Schloss for receiving awards to present their research at the 2019 annual meeting of the Vision Sciences Society.
Melissa Schoenlein: McPherson Eye Research Institute Walsh Research Travel Award
Shannon Sibrel: UW-Madison Psychology Department Undergraduate Travel Award
Karen Schloss: Vision Sciences Society National Eye Institute Travel Grant
Our new article on people’s interpretations of exit sign colors in simulated emergencies was recently published in Applied Ergonomics.
We found that people were most likely to walk toward green signs in virtual environments during simulated emergencies. Yet, immediately after, they reported that exit signs in the building were red and that exit signs should be red. This surprising dissociation between walking behavior and verbal report emphasizes the importance of studying behavior in realistic environments.
Our paper “Mapping color to meaning in colormap data visualizations” was awarded honorable mention for Best Paper at InfoVis 2018!
In the photo: Petra Isenberg (InfoVis Paper Chair), Karen Schloss, Tim Dwyer (InfoVis Paper Chair).
Co-authors not in the photo: Connor Gramazio, A. Taylor Silverman, Madeline Parker, and Audrey Wang.
Our paper on how on how people interpret colormap data visualizations was recently published in IEEE Transactions on Visualization and Computer Graphics (TVCG) and presented at InfoVis 2018.
We found that people are better at interpreting colormaps when darker colors map to larger quantities (dark-is-more bias), regardless of the background color, when colormaps do not appear to vary in opacity. Yet, when colormaps do appear to vary in opacity there is evidence for an opaque-is-more bias. These two biases work together on light backgrounds but conflict on dark backgrounds.
Schloss, K. B., Gramazio, C. C., Silverman, A. T., Parker, M., L., & Wang, A. S. (2019). Mapping color to meaning in colormap data visualizations. IEEE Transactions on Visualization and Computer Graphics, 25, 1, 1-10.
Our new article on color-music associations for a wide variety of genres was recently published in i-Perception.
Color-music associations can be predicted from lower-level perceptual dimensions and higher-level emotional dimensions, but evidence indicates that the lower-level correspondences are mediated by shared emotional content between the colors and the music.
The UW Virtual Brain Project™ is making education more engaging through virtual reality (VR). The immersive learning environments spark excitement, and improve student’s understanding of how the brain works.
To demonstrate the potential of VR-based learning, we have developed two lesson plans which can be downloaded below: The Virtual Visual System™ and Virtual Auditory System™. The lesson plans immerse people in a model of the brain based on real brain scans, allowing them to follow the path from sensory input to cortex. Information stations along the way describe key topics at each stage of neural processing.
Our perspective on VR education is that VR is a lens, analogous to a microscope or telescope, through which students experience content that would otherwise be difficult to see. We believe that the future of VR in the classroom is to provide enriched experiences that are integrated within the larger course structure, rather than supplant traditional education. Just as students do not spend entire classes with microscopes or telescopes attached to their face, they also need not to spend entire classes wearing VR headsets. VR acts as a springboard to facilitate class discussion and activities, rather than isolate students from each other and the instructor. Thus, the UW Virtual Brain Project™ lessons are brief (about 5 min.) and can be built into regular lessons on neural structure and function.
In the lab. The UW Virtual Brain Project™ team is conducting research to demonstrate the efficacy of VR-based education and to identify the aspects of VR that are especially beneficial to learning outcomes.
UW Virtual Brain Project™ team: Karen Schloss • Bas Rokers • Chris Racey • Simon Smith • Ross Treddinick • Nathaniel Miller • Melissa Schoenlein • Chris Castro
Explaining Color Preferences
Why do people have color preferences? Why do color preferences differ between individuals and why do they change over time? Much of our research on answering these questions is motivated by the Ecological Valence Theory (EVT), which proposes that preference for a color is determined by preference for all objects and entities associated that color. We also evaluate other theories to test their ability to explain color preferences.
What are effective ways to describe patterns of color preferences? How can we predict people’s preferences for colors they haven’t judged? We are constructing and evaluating models built from color space dimensions in color spaces, which provide parsimonious descriptions of complex patterns of data.