About the Project
Although laboratory-based studies have demonstrated that young adults are relatively resilient to dual-task interference during walking, emerging research suggests that the safety of young adults may be compromised during distracted walking in the real world, especially when walking while texting or talking on a smartphone.
It is presently not known how young adults prioritise their attention during texting and walking. To accurately interpret dual-task interference it is imperative to measure single and dual-task performance in both tasks. PhD candidate(s) will use eye-trackers and built-in sensors on smartphones to track how people change their navigation strategies when using phones.
PhD candidate(s) should demonstrate strong coding skills in Android, python, interest in eye-tracking, machine learning, data analysis and statistics.
Dr Parisa Eslambolchilar (School of Computer Science and Informatics), firstname.lastname@example.org
Dr Alexia Zoumpoulaki (School of Computer Science and Informatics),
A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject. Applicants with appropriate professional experience are also considered. Degree-level mathematics (or equivalent) is required for research in some project areas.
Applicants for whom English is not their first language must demonstrate proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.
To apply please complete the online application - https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/computer-science-and-informatics, select the ‘self-funding’ option, and state the project title and supervisor name.
Why not add a message here
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.