
Katie CrowleyUniversity of Limerick | UL · Department of Computer Science and Information Systems (CSIS)
Katie Crowley
PhD Computer Science
About
26
Publications
6,681
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265
Citations
Citations since 2017
Introduction
I am currently a Senior Research Fellow in Trinity College Dublin's Institute of Neuroscience. Principal Investigator and award holder of an Industry Fellowship.
My research interests include affective computing, emotion detection/analysis, human computer interaction; human factors; UX; bio-signals and biometrics; physiological measurement and digital signal processing.
Previous research focused on the analysis of emotional speech, particularly speech under stress, using psychophysiological HCI methods such as multimodal biometric affective feedback.
Additional affiliations
June 2017 - present
December 2014 - May 2017
October 2008 - December 2014
Publications
Publications (26)
The aim of this study is to evaluate Neuro Sky's Mindset headset as a minimally invasive method of measuring the attention and meditation levels of a subject. Two psychologically-based tests were conducted to assess the suitability of the headset to measure and categorise a user's level of attention and meditation.
This chapter discusses the use of commercial Brain Computer Interfaces to monitor the emotions and interactions of a subject as they use a system. Tracking how a user interacts with a system, and the emotion-based responses that are invoked as they interact with the system, yield very valuable datasets for the development of intelligent, adaptive s...
This study uses minimally invasive technology to monitor the emotional response of a subject during stress inducing psychological tasks. The goal of these tasks is to investigate the possibility of measuring and subsequently categorising the subject's level of stress using biosignal devices. If a consistent metric of stress can be determined it may...
Blockchain (BC) has recently paved the way for developing Decentralized Identity Management (IdM) systems for different information systems. Researchers widely use it to develop decentralized IdM systems for the Health Internet of Things (HIoT). HIoT is considered a vulnerable system that produces and processes sensitive data. BC-based IdM systems...
Identity and Access Management (IAM) systems are crucial for any information system, such as healthcare information systems. Health IoT (HIoT) applications are targeted by attackers due to the high-volume and sensitivity of health data. Thus, IAM systems for HIoT need to be built with high standards and based on reliable frameworks. Blockchain (BC)...
Here we present guidelines that highlight the impact of haptic feedback upon the experiences of computer musicians using Digital Musical Instruments (DMIs). In this context, haptic feedback offers a tangible, bi-directional exchange between a musician and a DMI. We propose that by adhering to and exploring these guidelines the application of haptic...
Automated driving solutions represent a potential solution to promoting driver persistence and the management of fitness to drive issues in older adults. This paper reports on the application of a ‘Human Factors & Ethics Canvas’ and associated methodologies, to support the preliminary specification of an ethically responsible solution for a new dri...
New assisted driving technology provides a solution to enabling driver persistence while also addressing older adult fitness to drive issues. The proposed driver assistance system follows a detailed literature review, an analysis of secondary data, and the specification of a solution using human machine interaction (HMI) design methods. Overall, th...
Following the commercial release of VR systems like HTC Vive and Oculus Rift to mainstream consumers, academic publications have explored the challenges of text entry in virtual reality. This paper describes a commercial developer kit that enables text entry using a traditional physical keyboard for HTC Vive. The paper gives a high-level system ove...
This paper presents a method to extract train driver taskload from downloads of on-train-data-recorders (OTDR). OTDR are in widespread use for the purposes of condition monitoring of trains, but they may also have applications in operations monitoring and management. Evaluation of train driver workload is one such application. The paper describes t...
This paper concerns the use of biometric technology as a means to improve delivery of eLearning material to learners with special needs. We discuss the current state of research and the potential offered by recent advances in and commercialisation of biometric technologies. We then present an ongoing study that examines the application of some of t...
Here we present guidelines that highlight the impact of haptic feedback upon the
experiences of computer musicians using Digital Musical Instruments (DMIs). In this context,
haptic feedback offers a tangible, bi-directional exchange between a musician and a DMI. We
propose that by adhering to and exploring these guidelines the application of haptic...