activity
20132019
most citedAssessing Executive Function Using a Computer Game: Computational Modeling of Cognitive Processes

56 citations · 77 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2019★ 1 cited

Evaluating Alignment Approaches in Superimposed Time-Series and Temporal Event-Sequence Visualizations

Yixuan Zhang, Sara Di Bartolomeo, Fangfang Sheng +2

Composite temporal event sequence visualizations have included sentinel event alignment techniques to cope with data volume and variety. Prior work has demonstrated the utility of…

cs.HC2016★ 7 cited

The shape of health: A comparison of five alternative ways of visualizing personal health and wellbeing

Andres Ledesma, Hannu Nieminen, Päivi Valve +3

The combination of clinical and personal health and wellbeing data can tell us much about our behaviors, risks and overall status. The way this data is visualized may affect our un…

q-bio.QM2016★ 56 cited

Assessing Executive Function Using a Computer Game: Computational Modeling of Cognitive Processes

Stuart Hagler, Holly B. Jimison, Misha Pavel

Early and reliable detection of cognitive decline is one of the most important challenges of current healthcare. In this project we developed an approach whereby a frequently playe…

physics.med-ph2016★ 11 cited

Quantification of Human Movement for Assessment in Automated Exercise Coaching

Stuart Hagler, Holly B. Jimison, Ruzena Bajczy +1

Quantification of human movement is a challenge in many areas, ranging from physical therapy to robotics. We quantify of human movement for the purpose of providing automated exerc…

cs.AI2013★ 2 cited

A Perspective on Confidence and Its Use in Focusing Attention During Knowledge Acquisition

David Heckerman, Holly B. Jimison

We present a representation of partial confidence in belief and preference that is consistent with the tenets of decision-theory. The fundamental insight underlying the representat…

cs.AI2013

A Representation of Uncertainty to Aid Insight into Decision Models

Holly B. Jimison

Many real world models can be characterized as weak, meaning that there is significant uncertainty in both the data input and inferences. This lack of determinism makes it especial…