Description:
Intelligent interruptibility-aware systems have been an active research area for decades, however few have had widespread societal impact. Interruptions from technology now permeate daily life and yet it still falls to individuals to manage this. Advances in interruptibility-aware systems have largely centered towards addressing common problems across learning systems (e.g., the cold-start problem), accounting for new types of interruptions, embedding more context surrounding interruptions, or applying new machine learning techniques (e.g., Deep Learning).
An overarching observation irrespective of specific interruptions is that studies often focus on sensing the physical environment and/or recent device interaction behaviour to as fine detail as possible. However, this fails to capture the sociocultural factors (e.g., behavioural norms) that contextualise situation awareness. For example, going out for a meal with friends versus family may elicit different interruption behaviours, or commuting alone versus with a friend.
Aims and Methods:
The initial direction for will involve undertaking a literature review. Alongside this, existing interruption datasets will be examined with appropriate statistical and machine learning methods to provide preliminary insight into sociocultural behaviours in interruption behaviours. This will be followed by dedicated empirical studies ‘in-the-wild’ using the Android platform.
Deliverables:
The outcomes of this research intends to help inform the design of intelligent interruption systems.
Keywords:
Interruptibility, human-computer interaction, human-centred computing, social computing, smartphone, contextual sensing, behaviour change.
Academic criteria: 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.
Application Information: If you would like to be considered for the School Funded Application, please submit your application before the 30th June 2021.
In the funding field of your application, insert “I am applying for 2021 PhD Scholarship in Computer Science and Informatics”, and specify the project title and supervisors of this project in the text box provided.
Apply online: https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/computer-science-and-informatics - Please read the "How to apply" instructions carefully prior to application.
For more information about the project, please contact Dr Liam Turner, [Email Address Removed]
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