Daniel completed his undergraduate studies in Computer Science at the University of Bath, where he also completed his MSc in HCI. His postgraduate study was also at the University of Bath where he also did an internship at Yahoo's Research Lab in San Jose. His PhD focussed on the development of haptic communication technology for long distance couples.
In 2013 he joined the University of Birmingham as a Research Fellow, moving to the Institue of Education/UCL to continue working on the EU-funded ILearnRW project, exploring the use of tablet software for children with dyslexia. He joined the Open University as a Research Associate on the MK:Smart project in 2015 where he led the citizen engagement work package.
He was appointed as a lecturer in the School of Computing and Communciations in 2017. Since then he has supervised a number of PhD students and been a co-investigator on a number of grants relating to privacy, mobile and ubiquitous computing, and digital health and wellbeing. He has contributed to a range of modules, particularly in HCI (TM356) and in our level 1 curriculum (TM112 and TM129).
Daniel is principally a human-computer interaction (HCI) researcher. His research interests are motivated by wanting to understand how we can best design technology to fit within, and where necessary change, peoples practices and behaviour. The work I do is interdisciplinary cutting across computer science, psychology, information science, design and education.
My research takes place in two broad contexts. The first is large-scale communication and community building, particularly around civic engagement and Smart City projects. I have led a number of research projects in this area, most recently evaluating and reflecting on the design of a process we have used to facilitate citizen innovation and what the opportunities and challenges are of user-centric design at an urban scale.
My second focus is on Digital Health and Wellbeing, particularly in contexts where the interaction or information ecology extends beyond an individual. I am leading the HCI-strand of the EPSRC funded STRETCH project, exploring a) how to develop robust and valid methods for the self-report of mood data, b) ambient displays for sharing health-related information and c) novel forms of privacy management. I am supervising two PhD students working in this area.
Daniel's main teaching interest is in how we can provide practical experience of relevant methods, tools and techniques, something particularly challenging when teaching at a distance.
He current chairs TM129 (Technologies in Practice) where he is working with the OpenSTEM Lab to provide students access to Raspberry Pi clusters at a distance. He is also part of the module team for TM356 (Interaction design and the user experience) where he leads the hackathon day-event where students get hands-on experience of prototyping techniques.
Impact and a public engagement is an important part Daniel's practice, particularly with regards to his research interest in digital civics.
The Smart City initiative he ran in Milton Keynes, Our MK, had public engagement at its core. He organised over 10 events, attended by around 500 people, and the web-based platform had 13,000 visits to the website.Our MK has been featured in the NESTA report “What Next For Digital Social Innovation” as an excellent example of citizen outreach within Smart Cities.
Our MK and its associated projects have appeared in at least 8 local press stories including articles in One MK and the MK Citizen.
Daniel has presented his research at:
Our MK won several awards including:
The Open University selected Our MK to be their institutional entry for the “Social and community impact” category of the Guardian University awards 2017.
Three of the Our MK project leaders were finalists in the Women Leaders MK 2017 awards. Padma Cheriyan won the outstanding contribution award and Franzi Florack won the Emerging Leader award.
|Role||Start date||End date||Funding source|
|Co-investigator||14/Feb/2020||30/Apr/2020||UK Research and Innovation|
Older adults can face many health challenges as a result of being overweight, including diabetes, heart disease, some forms of cancer and stroke. One way to decrease these risks is by losing weight, which often means increasing the amount of physical activity someone is doing. Both social support and technology devices can support older adults in increasing the amount of exercise they undertake. This project aims to understand how community support can make fitness tracking technology more effective. We want to explore the use of community displays which receive individuals' health tracking data, combine the data for a community and presenting it, alongside targeted health information, back to the community through shared displays. Fundamental to this proposal is to work with communities to understand their needs and desires around supporting people's health through community technology. We want to run a series of workshops to better understand the questions communities think we should be asking, and then work with these communities to collaboratively design how the community displays could work. In doing so, this will have two key benefits. Firstly, the workshops will be designed to be a two-way conversation with older adults, and act as a two-way educational experience. This will empower the community and increase community awareness of health-related activities and behaviours. Secondly, these workshops would help us understand how to utilise citizen science co-design methods in this complex multi-disciplinary setting, allowing us to continue using these methods across other aspects of our research. ************************************************************** Final report due in 3 months after the submission date ie, 31.07.2020