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

被引：2

作者：

Eardley, Rachel ^{[1
]}

Mackinnon, Sue ^{[2
]}

Tonkin, Emma L. ^{[1
]}

Soubutts, Ewan ^{[1
]}

Ayobi, Amid ^{[1
]}

Linington, Jess ^{[2
]}

Tourte, Gregory J. L. ^{[1
]}

Gross, Zoe Banks ^{[2
]}

Bailey, David J. ^{[1
]}

Knights, Russell ^{[1
]}

Gooberman-Hill, Rachael ^{[1
]}

Craddock, Ian ^{[1
]}

O'Kane, Aisling Ann ^{[1
]}

机构：

[1] Univ Bristol, Bristol, Avon, England

[2] Knowle West Media Ctr, Bristol, Avon, England

来源：

PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT | 2022年 / 6卷 / 02期

基金：

英国工程与自然科学研究理事会;

关键词：

Machine Learning; Onboarding; Smart home; Health; Case study; Design process; DESIGN; HOME;

D O I：

10.1145/3534625

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：23

共 79 条

[1] Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) [J].

Adadi, Amina ;

Berrada, Mohammed .

IEEE ACCESS, 2018, 6 :52138-52160

[2]

Adobe, AD ILL 2021

[3]

Adobe inc., 2021, AD INDESIGN

[4] Experience-Driven Design of Ambiences for Future Pop Up Workspaces [J].

Ahtinen, Aino ;

Poutanen, Jenni ;

Vuolle, Maiju ;

Vaananen, Kaisa ;

Peltoniemi, Sanna .

AMBIENT INTELLIGENCE, AMI 2015, 2015, 9425 :296-312

[5] Guidelines for Human-AI Interaction [J].

Amershi, Saleema ;

Weld, Dan ;

Vorvoreanu, Mihaela ;

Fourney, Adam ;

Nushi, Besmira ;

Collisson, Penny ;

Suh, Jina ;

Iqbal, Shamsi ;

Bennett, Paul N. ;

Inkpen, Kori ;

Teevan, Jaime ;

Kikin-Gil, Ruth ;

Horvitz, Eric .

CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,

[6]

[Anonymous], 1988, The Design of Everyday Things

[7]

[Anonymous], Qualitative Data Analysis Software

[8]

[Anonymous], MODELMAKER TOOLS SIM

[9]

[Anonymous], 2006, P SIGCHI C HUM FACT, DOI [DOI 10.1145/1124772.1124960, 10.1145/1124772.1124960]

[10]

Ballegaard SA, 2008, CHI 2008: 26TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS VOLS 1 AND 2, CONFERENCE PROCEEDINGS, P1807

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