Object representations from convolutional neural network (CNN) models of computer vision (LeCun, Bengio, & Hinton, 2015) were used to drive a cognitive model of decision making, the linear ballistic accumulator (LBA) model (Brown & Heathcote, 2008), to predict errors and response times (RTs) in a novel object recognition task in humans.…

We introduce a novel approach to visualizing temporal clickstream behaviour in the context of a degree-satisfying online course, "Habitable Worlds," offered through Arizona State University. The current practice for visualizing behaviour within a digital learning environment is to generate plots based on hand-engineered or coded features…

Using a multi-case approach, we examined students' behavior patterns in interacting with a serious game environment using the emerging technologies of learning analytics and data visualization in order to understand how the patterns may vary according to students' learning characteristics. The results confirmed some preliminary findings from our…

There is much enthusiasm in higher education about the benefits of adaptive learning and using big data to investigate learning processes to make data-informed educational decisions. The benefits of adaptive learning to achieve personalized learning are obvious. Yet, there lacks evidence-based research to understand how data such as user behavior…

Three experiments examined the effects of interactive visualizations and spatial abilities on a task requiring participants to infer and draw cross sections of a three-dimensional (3D) object. The experiments manipulated whether participants could interactively control a virtual 3D visualization of the object while performing the task, and…

People daydream, plan, and anticipate. They think frequently about their own actual or potential behaviors, and create behavioral scenarios (or scripts) in which they are the main character. To investigate the relationship between thinking about a behavior and one's expectancies or intentions to perform that behavior, subjects (N=93) in Experiment…

Describes the use of Spotfire, a starfield visualization tool, to generate interactive visualizations of log data, ranging from aggregate views of all Web site hits in a time interval to close-ups that approximate the path of a user through a site. Highlights current efforts and provides examples of the visualizations created in Spotfire.…

An exploratory study investigated the success of a small group behavior change program in eliminating self-defeating behavior (SDB) in outpatients with chronic mental illness. Four of the six subjects were outpatients at the local mental health center but were currently not exhibiting psychotic behavior. The remaining two subjects were student…

Visual recognition, navigation, tracking, and imagery are posited to involve some of the same types of representations and processes. The first part of this paper develops a theory of some of the shared types of representations and processing modules. The theory is developed in light of neurophysiological and neuroanatomical data from non-human…