A Case Study Investigating a User-Centred and Expert Informed 'Companion Guide' for a Complex Sensor-based Platform-Reference-Cited by-同舟云学术

A Case Study Investigating a User-Centred and Expert Informed 'Companion Guide' for a Complex Sensor-based Platform

Published:2022-07-04 Issue:2 Volume:6 Page:1-23
ISSN:2474-9567
Container-title:Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
language:en
Short-container-title:Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Author:

Eardley Rachel¹,Mackinnon Sue²,Tonkin Emma L.¹,Soubutts Ewan¹,Ayobi Amid¹,Linington Jess²,Tourte Gregory J. L.¹,Gross Zoe Banks²,Bailey David J.¹,Knights Russell¹,Gooberman-Hill Rachael¹,Craddock Ian¹,O'Kane Aisling Ann¹

Affiliation:

1. University of Bristol, Bristol, UK

2. Knowle West Media Centre, Bristol, UK

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.

Funder

UK Engineering and Physical Sciences Research Council

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Link

https://dl.acm.org/doi/pdf/10.1145/3534625

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