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Paul Marshall

Researcher at University of Bristol

Publications -  126
Citations -  5376

Paul Marshall is an academic researcher from University of Bristol. The author has contributed to research in topics: Situated & Computer science. The author has an hindex of 38, co-authored 123 publications receiving 4685 citations. Previous affiliations of Paul Marshall include Open University & University College London.

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Proceedings ArticleDOI

Mood Squeezer: Lightening up the Workplace through Playful and Lightweight Interactions

TL;DR: A lightweight technology intervention was designed - Mood Squeezer - that asks people to reflect on their mood by squeezing a colored ball from a box set, leading to a diversity of conversations throughout the building.
Proceedings ArticleDOI

Running up Blueberry Hill: prototyping whole body interaction in harmony space

TL;DR: Harmony Space as mentioned in this paper is a desktop tool for chord sequences and bass lines with a focus on concrete locations, objects, areas and trajectories for chord and bass line manipulation.
Journal ArticleDOI

IoT Community Technologies: Leaving Users to Their Own Devices or Orchestration of Engagement?

TL;DR: It is discussed how crowdfunding doesn’t necessarily translate into active participation and guidelines on how to achieve sustained engagement in crowdfunded IoT community sensing projects are provided.
Proceedings ArticleDOI

Changing Family Practices with Assistive Technology: MOBERO Improves Morning and Bedtime Routines for Children with ADHD

TL;DR: MOBERO, a smartphone-based system that assists families in establishing healthy morning and bedtime routines with the aim to assist the child in becoming independent and lowering the parents' frustration levels, significantly improved children's independence and reduced parents' frustrations.
Proceedings ArticleDOI

Don't Kick the Habit: The Role of Dependency in Habit Formation Apps

TL;DR: Through an in-depth qualitative study of a popular application Lift, this research establishes that common techniques such as reminders and streaks are effective at supporting repetition of new behaviors, but at the same time create a dependency that introduces fragility in users' attempts to change their behavior.