Shelby Darnell | Strathmore University (original) (raw)

Papers by Shelby Darnell

Emotions and Affect in Human Factors and Human-Computer Interaction, 2017

Proceedings of the extended abstracts of the 32nd annual ACM conference on Human factors in computing systems - CHI EA '14, 2014

Evacuation models have been developed to evaluate human behavior during evacuations and to assess... more Evacuation models have been developed to evaluate human behavior during evacuations and to assess the safety of buildings designs. According to the Life Safety Code ® , the geometry of a building, the location of exits, and the number of exits dictate the means of egress for all people occupying a building. In this paper, the authors introduce a steady state genetic algorithm (GA) approach to answer the following questions: how many exits and how should they be positioned in a room to minimize the evacuation time for a fixed number of people. The results show promising applications for GA in evacuation modeling. Also, against popular beliefs, the results show to a certain extent that more exits may not speed up evacuation.

Computer Science and Software Engineering, 2014

Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems - CHI EA '11, 2011

Page 1. Accessible Voting: One Machine, One Vote for Everyone Abstract The video for Accessible V... more Page 1. Accessible Voting: One Machine, One Vote for Everyone Abstract The video for Accessible Voting shows a novel technology that allows private and secure voting to people with disabilities who have previously not had ...

Lecture Notes in Computer Science, 2013

Our research group is in the midst of working with teachers to codesign an affective computing sy... more Our research group is in the midst of working with teachers to codesign an affective computing system that uses physiological measures, gathered via wrist worn sensors, to understand how students are engaging with classroom instruction. Optimally, our goal is to find new ways of supporting empathetic practices in the classroom by providing teachers real-time (or reflective) feedback on student engagement. In parallel, with our work with teachers, we are working to pinpoint the privacy and trust issues that might be associated with this type of system. The objective of this paper is to present the results of a series of studies conducted to understand the challenges associated with introducing a pervasive affective computing system into classroom environments. While we focus on physiological sensors, the implications apply to other pervasive technologies as well.

IEEE Transactions on Information Forensics and Security, 2000

Periocular biometrics is the recognition of individuals based on the appearance of the region aro... more Periocular biometrics is the recognition of individuals based on the appearance of the region around the eye. Periocular recognition may be useful in applications where it is difficult to obtain a clear picture of an iris for iris biometrics, or a complete picture of a face for face biometrics. Previous periocular research has used either visible-light or near-infrared light images, but no prior research has directly compared the two illuminations using images with similar resolution. We conducted an experiment in which volunteers were asked to compare pairs of periocular images. Some pairs showed images taken in visible light, and some showed images taken in near-infrared light. Participants labeled each pair as belonging to the same person or to different people. Untrained participants with limited viewing times correctly classified visiblelight image pairs with 88% accuracy, and near-infrared images with 79% accuracy. For comparison, we presented pairs of iris images from the same subjects. In addition, we investigated differences between performance on light and dark eyes and relative helpfulness of various features in the periocular region under different illuminations. We calculated performance of three computer algorithms on the periocular images. Performance for humans and computers was similar.

"Reducing damage, danger, and panic by evolving room designs is possible with artificial int... more "Reducing damage, danger, and panic by evolving room designs is possible with artificial intelligence. Escape panic, brought on by groups of people being in a life-threatening situation, increases the fatality rate and level of property damage incurred during unfortunate disasters. Currently buildings are designed to a code that tells how many exits a room should possess, but the code doesn’t specify where to place the doors and exactly how many doors there should be in room designs to help alleviate damages to people and property. A genetic algorithm and particle swarm optimizer will be used to find a room design to help alleviate this problem."

Except where reference is made to the work of others, the work described in this project is my ow... more Except where reference is made to the work of others, the work described in this project is my own or was done in collaboration with my advisory committee. This project does not include proprietary or classified information. ... Juan Gilbert Associate Professor Department of Computer ...

Twelth International Conference on Intelligent Virtual Agents (IVA 2012), Sep 1, 2012