A case study investigating a user-centred and expert informed `companion guide' for a complex sensor-based platform

Rachel Eardley; Sue Mackinnon; Emma L. Tonkin; Ewan Soubutts; Amid Ayobi; Jess Linington; Gregory J. L. Tourte; Zoe Banks Gross; David Bailey; Russell G Knights; Rachael Gooberman-Hill; Ian J Craddock; Aisling Ann O'Kane

doi:10.1145/3534625

A case study investigating a user-centred and expert informed `companion guide' for a complex sensor-based platform

Rachel Eardley^*, Sue Mackinnon, Emma L. Tonkin, Ewan Soubutts, Amid Ayobi, Jess Linington, Gregory J. L. Tourte, Zoe Banks Gross, David Bailey, Russell G Knights, Rachael Gooberman-Hill, Ian J Craddock, Aisling Ann O'Kane

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

8 Citations (Scopus)

Abstract

We present a case study that informs the creation of a `companion guide' providing transparency to potential non-expert users of a ubiquitous machine learning (ML) platform during the initial onboarding. Ubiquitous platforms (e.g., smart home systems, including smart meters and conversational agents) are increasingly commonplace and increasingly apply complex ML methods. Understanding how non-ML experts comprehend these platforms is important in supporting participants in making an informed choice about if and how they adopt these platforms. To aid this decision-making process, we created a companion guide for a home health platform through an iterative user-centred-design process, seeking additional input from platform experts at all stages of the process to ensure the accuracy of explanations. This user-centred and expert informed design process highlights the need to present the platform's entire ecosystem at an appropriate level for those with differing backgrounds to understand, in order to support informed consent and decision making.

Original language	English
Article number	93
Number of pages	23
Journal	Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Volume	6
Issue number	2
DOIs	https://doi.org/10.1145/3534625
Publication status	Published - 7 Jul 2022

Bibliographical note

Funding Information:
(开is work was performed under the SPHERE IRC funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Grant EPK031910/1.

Publisher Copyright:
© 2022 ACM.

Research Groups and Themes

SPHERE
Digital Health
Bristol Interaction Group

Keywords

Machine learning
Onboarding
Smart home
Health
Case study
Design Process

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3534625

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Persistent link

SPHERE2
Craddock, I. J. (Principal Investigator), Mirmehdi, M. (Co-Investigator), Piechocki, R. J. (Co-Investigator), Flach, P. A. (Co-Investigator), Oikonomou, G. (Co-Investigator), Burghardt, T. (Co-Investigator), Damen, D. (Co-Investigator), Santos-Rodriguez, R. (Co-Investigator), O'Kane, A. A. (Co-Investigator), McConville, R. (Co-Investigator), Masullo, A. (Co-Investigator) & Gooberman-Hill, R. (Co-Investigator)
1/10/18 → 31/01/23
Project: Research, Parent

Cite this

Eardley, R., Mackinnon, S., Tonkin, E. L., Soubutts, E., Ayobi, A., Linington, J., Tourte, G. J. L., Gross, Z. B., Bailey, D., Knights, R. G., Gooberman-Hill, R., Craddock, I. J., & O'Kane, A. A. (2022). A case study investigating a user-centred and expert informed `companion guide' for a complex sensor-based platform. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 6(2), Article 93. https://doi.org/10.1145/3534625

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abstract = "We present a case study that informs the creation of a `companion guide' providing transparency to potential non-expert users of a ubiquitous machine learning (ML) platform during the initial onboarding. Ubiquitous platforms (e.g., smart home systems, including smart meters and conversational agents) are increasingly commonplace and increasingly apply complex ML methods. Understanding how non-ML experts comprehend these platforms is important in supporting participants in making an informed choice about if and how they adopt these platforms. To aid this decision-making process, we created a companion guide for a home health platform through an iterative user-centred-design process, seeking additional input from platform experts at all stages of the process to ensure the accuracy of explanations. This user-centred and expert informed design process highlights the need to present the platform's entire ecosystem at an appropriate level for those with differing backgrounds to understand, in order to support informed consent and decision making.",

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author = "Rachel Eardley and Sue Mackinnon and Tonkin, {Emma L.} and Ewan Soubutts and Amid Ayobi and Jess Linington and Tourte, {Gregory J. L.} and Gross, {Zoe Banks} and David Bailey and Knights, {Russell G} and Rachael Gooberman-Hill and Craddock, {Ian J} and O'Kane, {Aisling Ann}",

note = "Funding Information: (开is work was performed under the SPHERE IRC funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Grant EPK031910/1. Publisher Copyright: {\textcopyright} 2022 ACM.",

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Eardley, R, Mackinnon, S, Tonkin, EL, Soubutts, E, Ayobi, A, Linington, J, Tourte, GJL, Gross, ZB, Bailey, D, Knights, RG, Gooberman-Hill, R , Craddock, IJ & O'Kane, AA 2022, 'A case study investigating a user-centred and expert informed `companion guide' for a complex sensor-based platform', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol. 6, no. 2, 93. https://doi.org/10.1145/3534625

A case study investigating a user-centred and expert informed `companion guide' for a complex sensor-based platform. / Eardley, Rachel; Mackinnon, Sue; Tonkin, Emma L. et al.
In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 6, No. 2, 93, 07.07.2022.

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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A case study investigating a user-centred and expert informed `companion guide' for a complex sensor-based platform

Abstract

Bibliographical note

Research Groups and Themes

Keywords

UN SDGs

Access to Document

Handle.net

Fingerprint

Projects

SPHERE2

Cite this