Examining the Data Security and Privacy (DSP) practices of Indian older adults with digital footprints
Many real-world datasets are large, multivariate, and relational in nature and relevant associated decisions frequently require a simultaneous consideration of both attributes and connections. Existing visualization systems and approaches often make an explicit trade-off between either affording rich exploration of individual data units or exploration of the underlying network structure. We demonstrate through a system called Graphicle how network structure can be layered on top of unit visualization techniques to create new opportunities for visual exploration of large multivariate networks.
The rise of ubiquitous technology has resulted in exponential growth in potential options for the design of interactive museum exhibits. We posit that using a framework of parental beliefs about learning and teaching for design can be useful to the HCI community when creating museum exhibits to facilitate learning. Our study builds upon Swartz and Crowley's framework of parental pedagogical approaches through analysis of 118 observations of social interactions between parents and children at museum exhibits.
ML@GT invites you to a virtual seminar featuring Csaba Szepesvari from the University of Alberta.
This talk will discuss the position of designing not-knowing, inspire reflection, and offer a few tactics for unknowing.
ML@GT is hosting a virtual seminar featuring Ellie Pavlick from Brown University.
GT Computing, Feb 19, 2021
The Washington Post, Feb 17, 2021
WIRED, Feb 17, 2021
GVU Resource Labs
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Testing Methods and Technology
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