K
Kyle Boyd
Researcher at Ulster University
Publications - 20
Citations - 81
Kyle Boyd is an academic researcher from Ulster University. The author has contributed to research in topics: Usability & User experience design. The author has an hindex of 5, co-authored 16 publications receiving 58 citations.
Papers
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Proceedings Article
Eye tracking in the assessment of electrocardiogram interpretation techniques
Raymond Bond,Dewar D. Finlay,Cathal Breen,Kyle Boyd,Chris D. Nugent,Norman D. Black,Peter W. Macfarlane,Daniel Guldenring +7 more
TL;DR: This work investigates whether eye tracking can be used to gain an insight into how a human observer interprets the 12-lead ECG and a clinical scientist interpreted 29 ECGs whilst an eye tracking device was used to record eye movement patterns.
Book ChapterDOI
EasiSocial: An Innovative Way of Increasing Adoption of Social Media in Older People
TL;DR: Findings demonstrated that EasiSocial was statistically easier to learn and easier to use than Facebook and therefore potentially helpful to increase the adoption of Social Media technologies.
Book ChapterDOI
A usability protocol for evaluating online social networks
TL;DR: This paper presents quantitative findings from a usability study which utilized eye tracking to observe 20 users' interactions with Facebook and identifies concessions and produces guidelines for designing an OSN for older people.
Proceedings ArticleDOI
An investigation into the usability of the STAR training and re-skilling website for carers of persons with dementia
TL;DR: The findings of a usability test conducted on five carers of people with dementia while using the STAR Training Website are presented, revealing 21 usability issues and proposed solutions.
Journal ArticleDOI
How People Judge the Usability of a Desktop Graphic User Interface at Different Time Points: Is there Evidence for Memory Decay, Recall Bias or Temporal Bias?
TL;DR: It is concluded that there is no significant change of the user’s recollection of the usability of digital product as evidenced by an analysis of users who completed multiple SuS surveys over a short term period of 3 weeks or over an extended period of time of 6 months.