OU Profiles homepage Edit my profile User guide Accessibility Statement

Biography

Professional biography

Blaine completed undergraduate studies in Mathematics and Computing & Information Science at Queen's University, Canada. His postgraduate work was at the University of Toronto where he also did an internship at Apple's Advanced Research Lab in Cupertino. In 1991 he came to the Open University as a Research Fellow in software visualization before being appointed as a Lecturer in the Computing Department in 1994. He was a major contributor to the Open University's early Internet based teaching, including the design of the first large scale assignment handling system.

He was seconded to the OU's Knowledge Media Institute in 1997 for 2 years as the Senior Systems Strategist, returning to chair the MSc dissertation module and begin research in IT Law and Privacy. Since then, he has supervised over a dozen PhD students in the area of privacy and ubiquitous computing and been co-investigator and principal investigator on a number of grants relating to privacy, mobile and ubiquitous computing, and wearables.

Research interests

Blaine has always taken a human-centred approach to computing. He is interested in privacy in mobile and ubiquitous computing and in lifelogging technologies in particular, including both personal lifelogging and logging energy and resource usage.

Blaine is a co-Director of the OU's Digital Health Lab where he works with clinicians to utilise ubiquitous computing technology and machine learning to improve health and wellbeing. He has supervised over a dozen PhD students in areas including privacy, ubiquitous computing, wearables and digital health. Blaine welcomes enquiries from potential students with topics of possible interest. His current proposed topics are:

He was principal investigator on a number of Knowledge Transfer Partnership projects with industrial partners from 2009-2011. He was  a co-investigator on the following projects:

Past and present projects as Principal Investigator include:

Teaching interests

Blaine's main teaching interests are in Ubiquitous Computing and Cybersecurity, especially Digital Forensics. He launched digital forensics teaching at the OU in 2006 and is a member of the M812 (Digital Forensics) module team and is a digital forensics accreditation assessor for the Chartered Society of Forensic Sciences.

Impact and engagement

Blaine's research was featured in the BBC TV flagship science series Horizon  in a programme entitled 'Monitor Me' broadcast in August 2013. In November 2014 Blaine gave a TEDx talk entitled Am I Normal? why self-quantifying is for everyone. In 2020 he gave a public lecture at the Royal College of Physicians entitled Please don't show me your data (yet!).

External collaborations

Blaine works closely with clinicians and researchers at Milton Keynes University Hospital. He is an editor for the Journal of Medical Internet Research (JMIR) - Human Factors

Projects

SAUSE: Secure, Adaptive, Usable Software Engineering

In the last decade, the role of software engineering has changed rapidly and radically. Globalisation and mobility of people and services, pervasive computing, and ubiquitous connectivity through the Internet have disrupted traditional software engineering boundaries and practices. People and services are no longer bound by physical locations. Computational devices are no longer bound to the devices that host them. Communication, in its broadest sense, is no longer bounded in time or place. The Software Engineering & Design (SEAD) group at the Open University (OU) is leading software engineering research in this new reality that requires a paradigm shift in the way software is developed and used. This platform grant will grow and sustain strategic, multi-disciplinary, crosscutting research activities that underpin the advances in software engineering required to build the pervasive and ubiquitous computing systems that will be tightly woven into the fabric of a complex and changing socio-technical world. In addition to sustaining and growing the SEAD group at the OU and supporting its continued collaboration with the Social Psychology research group at the University of Exeter, the SAUSE platform will also enable the group to have lasting impact across several application domains such as healthcare, aviation, policing, and sustainability. The grant will allow the team to enhance the existing partner networks in these areas and to develop impact pathways for their research, going beyond the scope and lifetime of individual research projects.

Citizen Forensics

The Citizen Forensics project reframes key challenges that underlie modern policing in a socio-technical world; a world instrumented with mobile and ubiquitous computing technologies, in which many citizens and communities live, work and play, but which must also manage threats to their wellbeing and their rights. The project aims to support a new engagement between authorities (such as the police) and communities of citizens in order to better investigate (and in the long term reduce) potential or actual threats to citizen security, safety, and privacy. This includes both empowering the police by opening up new ways of citizens providing data in ways that protect privacy and anonymity, and empowering citizens by using these new technologies to also hold the police to account. We will be harnessing many of the so-called Internet of Things, Smart City and Smart Home technologies to encourage and allow citizens to help the police collect and analyse disparate data to improve public safety at both local and ultimately national levels. This multidisciplinary investigation draws upon expertise in computing, policing, psychology and organisational theory. For more information, see https://www.citizenforensics.org/

COVID-19: Supporting social and emotional resilience for lonely populations (SERVICE)

The STRETCH team at the Open University, University of Exeter, and Nottingham Trent University are proposing to develop a novel multi-platform digital intervention addressing isolation and loneliness of older adults exacerbated by the COVID-19 crisis. This app facilitates a) expression and logging emotions to increase feelings of control, b) visualization and analysis of personal support networks to increase resilience, c) enabling individuals to communicate their emotions and feelings of loneliness with family and friends to provide a reliable source of emotional support, d) analysis of these data to offer personalized insights. We expect this app to have concrete benefits on feelings of loneliness, social efficacy and security which in turn will have measurable long-term health benefits.

STRETCH: Socio-Technical Resilience for Enhancing Targeted Community Healthcare

The aim of this project will be to build a dynamic and resilient socio-technical system that sustains care for people with chronic illnesses in old age. Its principle novelty will be the integration of human and technical resources into a single system that will have resilient care at its heart. Resilience will mean both social resilience and technical resilience. To deliver social resilience we will explore how technology can help to harness existing social support as well as building wider social capital around older people. To deliver technical resilience we will design systems that integrate existing technological capacity in novel configurations as well as integrating new sensing / Internet of Things capability. However, the key innovation will be that the integrated socio-technical system will allow for the interchange between human assets and technological assets in the delivery of a resilient care architecture for older people. The system will not seek to replace human resource with a technology derived alternative, but to harness the capacities of all elements of the system in a way that serves the needs of the older person. Sometimes the system will respond to need through mobilising human resources, at other times the same need could be met through technological capability. In that sense, the system will have the needs of the older person at its core.

Exploring community responses to health-related community displays

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

Drone Identity

This EngageKTN project is investigating forensic-readiness requirements of unmanned aerial systems, to help identify causes of safety and security related air traffic incidents. Unmanned aerial vehicles (or drones) are increasingly creating challenges for managing the safety of aircraft that share the airspace with them. The collection and use of forensic data associated with drones and surrounding physical contexts is key to effective incident investigations. The research is focusing on the architecture and concept of operations for European unmanned traffic management, and the ability to preserve such vital information as evidence for forensic investigations. The team of the project include Dr. Yijun Yu (PI), Mr. Danny Barthaud (Research Software Engineer), and Prof. Bashar Nuseibeh, Prof. Blaine Price, Prof. Andrea Zisman, Prof. Arosha Bandara at The Open University, and Dr. Anthony P. Rushton, Dr. David L. Bush, and Dr. George S. Koudis at NATS. The project URL is at https://droneidentity.eu.

Publications

Book

Software Visualization: Programming as a Multimedia Experience (1998)

Book Chapter

Data Privacy: Users’ Thoughts on Quantified Self Personal Data (2018)

Digital Forensics (2016)

Complexity science and representation in robot soccer (2004)

Journal Article

Reflections on using the story completion method in designing tangible user interfaces (2024)

Accuracy of machine learning techniques to predict stress echocardiography results using clinical variables (2024)

Democratizing Clinical Movement Analysis: Assessing the Versatility of MoJoXlab with Open-protocol Inertial Sensors (2024)

Towards Efficient AI Solutions for Facial Recognition in the Wild (2024)

The challenges of technology adoption in the NHS: lessons learnt from deploying PROMs collection devices (2023)

Digital Intervention in Loneliness in Older Adults: Qualitative Analysis of User Studies (2023)

Being cut off from social identity resources has shaped loneliness during the coronavirus pandemic: A longitudinal interview study with medically vulnerable older adults from the United Kingdom (2023)

Slider® device for prehabilitation of total knee replacement surgery: usability study (2023)

Significant Features for Human Activity Recognition Using Tri-Axial Accelerometers (2022)

Designing Tangibles to Support Emotion Logging for Older Adults: Development and Usability Study (2022)

The case for Zero Trust Digital Forensics (2022)

Long-Term Self-Tracking for Life-Long Health and Well-Being (2021)

Digital detectives: websleuthing reduces eyewitness identification accuracy in police lineups (2021)

Privacy Care: A Tangible Interaction Framework for Privacy Management (2021)

Measuring Daily Compliance With Physical Activity Tracking in Ambulatory Surgery Patients: Comparative Analysis of Five Compliance Criteria (2021)

Building trust in digital policing: a scoping review of community policing apps (2021)

A Design Exploration of Health-Related Community Displays (2021)

Altruism and anxiety: Engagement with online community support initiatives (OCSIs) during Covid-19 lockdown in the UK and Ireland (2020)

Rhythmic Haptic Cueing Using Wearable Devices as Physiotherapy for Huntington Disease: Case Study (2020)

Designing Privacy-aware Internet of Things Applications (2020)

Towards Increasing Trust In Expert Evidence Derived From Malware Forensic Tools (2020)

A Nonproprietary Movement Analysis System (MoJoXlab) Based on Wearable Inertial Measurement Units Applicable to Healthy Participants and Those With Anterior Cruciate Ligament Reconstruction Across a Range of Complex Tasks: Validation Study (2020)

Minimal Patients’ Clinical Variables to Accurately Predict Stress Echocardiography Outcome: Validation Study Using Machine Learning Techniques (2020)

LiveBox: A Self-Adaptive Forensic-Ready Service for Drones (2019)

Assessing the Privacy of mHealth Apps for Self-Tracking: Heuristic Evaluation Approach (2018)

Logging you, Logging me: A Replicable Study of Privacy and Sharing Behaviour in Groups of Visual Lifeloggers (2017)

Wearables: has the age of smartwatches finally arrived? (2015)

Placing computer security at the heart of learning (2008)

Keeping ubiquitous computing to yourself: a practical model for user control of privacy (2005)

Using robotics to motivate 'back door' learning (2004)

Developing Robotics e-teaching for teamwork (2003)

Remote electronic examinations: student experiences (2002)

Other

Evaluating Malware Forensics Tools (2022)

Patent

Medicinal-pill dispensing device and systems (2022)

Pain-level reporting apparatus, device, system and method (2021)

Presentation / Conference

Children's perspectives on pain-logging: Insights from a Co-Design Approach (2024)

Exploring citizen forensics: witnesses, websleuths, vigilantes and the need for multi-directional channels of online collaboration (2024)

Towards Adaptive Multi-modal Augmentative and Alternative Communication for Children with CP (2024)

How Do People Use a Public Gratitude Platform in the Wild? (2024)

Towards a Socio-Technical Understanding of Police-Citizen Interactions (2023)

Socio-Technical Resilience for Community Healthcare (2023)

A Card-based Ideation Toolkit to Generate Designs for Tangible Privacy Management Tools (2023)

Accuracy of machine learning techniques to predict stress echocardiography results using clinical variables (2023)

Slider®-A Novel Device For Remote Tracking Of Physiotherapy Exercises In Patients With Osteoarthritis Of The Knee: An Early Report (2023)

Attitudes towards Online Community Support Initiatives during the COVID-19 Pandemic: A Survey in the UK (2022)

Up Close and Personal: Exploring User-preferred Image Schemas for Intuitive Privacy Awareness and Control (2021)

Understanding the Interaction Between Animals and Wearables: The Wearer Experience of Cats (2020)

Finding & Reviewing Community Policing Apps in Asia (2020)

How are you feeling? Using Tangibles to Log the Emotions of Older Adults (2020)

Designing Technologies for Community Policing (2020)

Towards Citizen Forensics: Improving Citizen-Police Collaboration (2020)

Wearer-Centered Design for Animal Biotelemetry: Implementation and Wearability Test of a Prototype (2019)

Gait Rehabilitation for Neurological Conditions using Wearable Devices (2019)

50 Shades of Green and Brown: Comparing Grid Carbon Intensity with Consumption for Households with PV Generation and Battery Storage (2019)

Designing for wearability: an animal-centred framework (2019)

A Sensor Platform for Non-invasive Remote Monitoring of Older Adults in Real Time (2019)

Wearable Haptic Devices for Long-Term Gait Re-education for Neurological Conditions (2018)

How can rhythmic haptic cueing using wearable haptic devices help gait rehabilitation for stroke survivors: a longitudinal pilot study (2018)

Wearables for Long Term Gait Rehabilitation of Neurological Conditions (2018)

Feel My Pain: Design and Evaluation of Painpad, a Tangible Device for Supporting Inpatient Self-Logging of Pain (2018)

Designing for Diabetes Decision Support Systems with Fluid Contextual Reasoning (2018)

Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps (2018)

A longitudinal rehabilitation case study for hemiparetic gait using outdoor rhythmic haptic cueing via a wearable device (2018)

Gait rehabilitation by outdoor rhythmic haptic cueing using wearable technology for neurological conditions: a case study (2018)

The Role of Ethological Observation for Measuring Animal Reactions to Biotelemetry Devices (2017)

Learning to Share: Engineering Adaptive Decision-Support for Online Social Networks (2017)

Designing for Wearability in Animal Biotelemetry (2016)

Privacy-by-Design Framework for Assessing Internet of Things Applications and Platforms (2016)

Wearables for Physical Privacy (2016)

Verifiable Limited Disclosure: Reporting and Handling Digital Evidence in Police Investigations (2016)

Questioning the Reflection Paradigm for Diabetes Mobile Apps (2016)

Privacy Dynamics: Learning Privacy Norms for Social Software (2016)

Privacy Itch and Scratch: On Body Privacy Warnings and Controls (2016)

Designing, Developing, and Evaluating the Future Internet of Personal Health (2016)

Towards a Wearer-Centred Framework for Animal Biotelemetry (2016)

Harvesting green miles from my roof: an investigation into self-sufficient mobility with electric vehicles (2015)

Understanding and Supporting Emerging Domestic Energy Practices (2015)

Failing the challenge: Diabetes apps & long-term daily adoption (2015)

Understanding the social practice of EV workplace charging (2015)

Conversations with my washing machine: an in-the-wild study of demand-shifting with self-generated energy (2014)

Personal Informatics for Non-Geeks: Lessons Learned from Ordinary People (2014)

Energy Demand Shifting in Residential Households: The Interdependence between Social Practices and Technology Design (2014)

Participatory Data Analysis: A New Method for Investigating Human Energy Practices (2014)

Using participatory data analysis to understand social constraints and opportunities of electricity demand-shifting (2014)

Distilling Privacy Requirements for Mobile Applications (2014)

Pedagogic Challenges in Teaching Cyber Security – a UK perspective (2014)

Technology probes: experiences with home energy feedback (2013)

When looking out of the window is not enough: informing the design of in-home technologies for domestic energy microgeneration (2013)

Privacy arguments: analysing selective disclosure requirements for mobile applications (2012)

In the best families: tracking and relationships (2011)

“Privacy-shake”: a haptic interface for managing privacy settings in mobile location sharing applications (2010)

On the impact of real-time feedback on users' behaviour in mobile location-sharing applications (2010)

Contravision: Exploring users' reactions to futuristic technology (2010)

ContraVision: presenting contrasting visions of future technology (2010)

Studying location privacy in mobile applications: 'predator vs. prey' probes (2009)

From spaces to places: Emerging contexts in mobile privacy (2009)

A multi-pronged empirical approach to mobile privacy investigation (2009)

Robotics and the meaning of life: a practical guide to things that think (2005)

Representing Patterns of autonomous agent dynamics in multi-robot systems (2003)

Teaching programming through paperless assignments: an empirical evaluation of instructor feedback (1997)

Pervasiveness of a Programming Paradigm: Questions Concerning an Object-oriented Approach (1994)

Report

Life-logging: value and engagement without goal-setting? (2013)

Learning from Context: A Field Study of Privacy Awareness System for Mobile Devices (2011)

Predators and Prey: Ubiquitous Tracking, Privacy and the Social Contract (2010)

I Know What You Did Last Summer: risks of location data leakage in mobile and social computing (2009)

A Holistic approach to supporting distance learning using the Internet: transformation, not translation (1998)

Innovations in large-scale supported distance teaching: transformation for the Internet, not just translation (1998)

The MZX Trials: Update April 1997 (1997)

Innovations in large-scale supported distance teaching transformation for the Internet, not just translation (1997)