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.
This project is available to students worldwide.
How to apply:
This project is accepting applications all year round, however, if you are interested in applying for a PhD Scholarship, please visit our website to find out more about the Scholarships application deadline. https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/computer-science-and-informatics
Apply online: https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/computer-science-and-informatics
For more information about this project, please contact Dr Liam Turner [Email Address Removed]
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