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Colin Watson

Colin Watson

Digital Civics Doctoral Trainee

c.watson8@newcastle.ac.uk

Bio Projects Publications

My research interests are the effects on individuals and communities by digitisation of national government services. Government service delivery is increasingly shifting online in an effort to increase adoption and efficiency, but citizens have not been central to their design, and strategies to correct difficulties for citizens often address the problem from the perspective of user inadequacies. These matters are particularly pertinent to implementing social protection policies supporting those with higher levels of socio-economic deprivation, who may be in precarious situations, and who are among those most digitally-excluded.

In my MRes Digital Civics project I examined how to help citizens make better use of resource-limited advice and support appointments. In particular I studied how to assist claimants of the Personal Independence Payment (PIP) health/disability benefit gather more accurate and impartial health assessment information to support their claims. This involved co-designing PIP Kit with service users and practitioners, comprising digital and non-digital components, to help people recollect and discuss how health conditions affect their own daily lives and mobility.

My PhD examined the negative effects (harms) on individuals and their communities using, as case studies, two UK transactional welfare benefit services Universal Credit (UC) and Personal Independent Payment (PIP), which deliver policies providing for income and disability-related social protection financial payments respectively,. The extent of digitisation, providing access via self-service remote channels, and pattern of access by citizen claimants is quite different for these, but are the two most commonly-welfare benefits claimed by working-age adults, and were both deemed to be digital transformation exemplars by the government. My research examined how claimant-articulated digital-related harms arise, and whether alternative design choices could reduce harms. This involved the design and evaluation of two digital intervention prototypes to generate further knowledge about how harms arise in service ecosystems.

In addition to my academic publications, other information about my PhD research is published at https://digitalbenefits.uk/

Project Title

Smartphone Data and Public Health Emergencies: Understanding people’s attitudes to extracting personal smartphone data

Colin Watson
Project Title

HCI HAZOP: A systematic method to identify harms in socio-technical systems

Colin Watson
Project Title

UCX: Enhancing digital welfare public services with independent website augmentation

Colin Watson
Project Title

PIP Kit: Using lifelogging to support disability benefit claimants

Colin Watson Ahmed Kharrufa Reuben Kirkham

2024

Hostile Systems: A Taxonomy of Harms Articulated by Citizens Living with Socio-Economic Deprivation

Watson C Crivellaro C Parnaby AW Kharrufa A

2024 – CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems

Open website 10.1145/3613904.3642562

Precarious Experiences: Citizens' Frustrations, Anxieties and Burdens of an Online Welfare Benefit System

Watson C Parnaby AW Kharrufa A

2024 – arXiv

Open website 10.48550/arXiv.2405.08515

2021

HCI - H is also for Hazard: Using HAZOP to Identify Undesirable Consequences in Socio-Technical Systems

Watson C Kharrufa A

2021 – ACM SIGCAS Conference on Computing and Sustainable Societies 2021 (ACM COMPASS '21)

Open website 10.1145/3460112.3471959

Tensions and Mitigations: Understanding Concerns and Values around Smartphone Data Collection for Public Health Emergencies

Watson C Ali R Smeddinck JD

2021 – 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2021)

Open website 10.1145/3476071

2020

PIP Kit: An Exploratory Investigation into using Lifelogging to support Disability Benefit Claimants

Watson C Kirkham R Kharrufa A

2020 – CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Open website 10.1145/3313831.3376215

Unconsented Data Transfusions: Attitudes Towards Extracting Personal Device Data for Public Health Emergencies

Watson C Smeddinck JD

2020 – Mensch und Computer 2020

Open website 10.1145/3404983.3409994

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