Participatory Action Research and Open Source Hardware Appropriation for Large Scale In-The-Wild Studies

Carvalho, Luis, Jackson, Dan, Guerreiro, Tiago, Guan, Yu and Montague, Kyle (2021) Participatory Action Research and Open Source Hardware Appropriation for Large Scale In-The-Wild Studies. In: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. ACM, New York, pp. 511-513. ISBN 9781450384612

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Official URL: https://doi.org/10.1145/3460418.3479369

Abstract

With the rise of ubiquitous computing, the use of research in-the-wild approach in both Ubicomp and HCI context has become more viable, but not without its challenges. End-users and communities can be great beneficiaries of such an approach if actively involved in the process from an early stage and throughout the whole process. We start by presenting a future case study, the Cue Band study, which revolves around the creation of a wristband cueing device for people with Parkinson’s that experience drooling. We present an approach for research in-the-wild, which draws on participatory action research theory, that places the end-user at the centre of the process, aiming to first and for most to create a workable product for the end-user, before engaging in a formal study. In the last section, we explore the appropriation of existing open-source hardware for in-the-wild research, by describing problems and solutions associated with developing Ubicomp technologies for large-scale studies.

Item Type: Book Section
Additional Information: Funding Information: This research was funded by Parkinson’s UK through the Non Drug Approaches 2020 (NDA-20-00).
Uncontrolled Keywords: Participatory Action Research, Open Source, Hardware, Large Scale Studies, Wearable, Parkinson’s Disease
Subjects: G400 Computer Science
G500 Information Systems
G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Rachel Branson
Date Deposited: 14 Oct 2021 09:36
Last Modified: 14 Oct 2021 09:45
URI: http://nrl.northumbria.ac.uk/id/eprint/47485

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