Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps

Dmitri Katz; Blaine Price; Simon Holland; Nick Dalton

doi:10.1145/3173574.3174077

Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps

Dmitri Katz, Blaine Price, Simon Holland, Nick Dalton

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

49 Citations (Scopus)

82 Downloads (Pure)

Abstract

For those with chronic conditions, such as Type 1 diabetes, smartphone apps offer the promise of an affordable, convenient, and personalized disease management tool. However, despite significant academic research and commercial development in this area, diabetes apps still show low adoption rates and underwhelming clinical outcomes. Through user-interaction sessions with 16 people with Type 1 diabetes, we provide evidence that commonly used interfaces for diabetes self-management apps, while providing certain benefits, can fail to explicitly address the cognitive and emotional requirements of users. From analysis of these sessions with eight such user interface designs, we report on user requirements, as well as interface benefits, limitations, and then discuss the implications of these findings. Finally, with the goal of improving these apps, we identify 3 questions for designers, and review for each in turn: current shortcomings, relevant approaches, exposed challenges, and potential solutions.

Original language	English
Title of host publication	CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Publisher	ACM
ISBN (Electronic)	978-1-4503-5620-6
DOIs	https://doi.org/10.1145/3173574.3174077
Publication status	Published - 21 Apr 2018
Event	2018 ACM Conference on Human Factors in Computing Systems - Palais des Congrès de Montréal, Montréal, Canada Duration: 21 Apr 2018 → 26 Apr 2018 https://chi2018.acm.org/

Conference

Conference	2018 ACM Conference on Human Factors in Computing Systems
Abbreviated title	CHI 2018
Country/Territory	Canada
City	Montréal
Period	21/04/18 → 26/04/18
Internet address	https://chi2018.acm.org/

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Health
chronic conditions
mHealth
apps
quantified self
personal informatics
Internet of Things
digital health

Access to Document

10.1145/3173574.3174077Licence: CC BY

Katz et al - Data, Data Everywhere, and Still Too Hard to LinkAccepted author manuscript, 1.08 MB

Cite this

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title = "Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps",

abstract = "For those with chronic conditions, such as Type 1 diabetes, smartphone apps offer the promise of an affordable, convenient, and personalized disease management tool. However, despite significant academic research and commercial development in this area, diabetes apps still show low adoption rates and underwhelming clinical outcomes. Through user-interaction sessions with 16 people with Type 1 diabetes, we provide evidence that commonly used interfaces for diabetes self-management apps, while providing certain benefits, can fail to explicitly address the cognitive and emotional requirements of users. From analysis of these sessions with eight such user interface designs, we report on user requirements, as well as interface benefits, limitations, and then discuss the implications of these findings. Finally, with the goal of improving these apps, we identify 3 questions for designers, and review for each in turn: current shortcomings, relevant approaches, exposed challenges, and potential solutions.",

keywords = "Health, chronic conditions, mHealth, apps, quantified self, personal informatics, Internet of Things, digital health",

author = "Dmitri Katz and Blaine Price and Simon Holland and Nick Dalton",

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doi = "10.1145/3173574.3174077",

language = "English",

booktitle = "CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems",

publisher = "ACM",

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note = "2018 ACM Conference on Human Factors in Computing Systems, CHI 2018 ; Conference date: 21-04-2018 Through 26-04-2018",

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}

Katz, D, Price, B, Holland, S & Dalton, N 2018, Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps. in CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems., 503, ACM, 2018 ACM Conference on Human Factors in Computing Systems, Montréal, Canada, 21/04/18. https://doi.org/10.1145/3173574.3174077

TY - GEN

T1 - Data, Data Everywhere, and Still Too Hard to Link

T2 - 2018 ACM Conference on Human Factors in Computing Systems

AU - Katz, Dmitri

AU - Price, Blaine

AU - Holland, Simon

AU - Dalton, Nick

PY - 2018/4/21

Y1 - 2018/4/21

N2 - For those with chronic conditions, such as Type 1 diabetes, smartphone apps offer the promise of an affordable, convenient, and personalized disease management tool. However, despite significant academic research and commercial development in this area, diabetes apps still show low adoption rates and underwhelming clinical outcomes. Through user-interaction sessions with 16 people with Type 1 diabetes, we provide evidence that commonly used interfaces for diabetes self-management apps, while providing certain benefits, can fail to explicitly address the cognitive and emotional requirements of users. From analysis of these sessions with eight such user interface designs, we report on user requirements, as well as interface benefits, limitations, and then discuss the implications of these findings. Finally, with the goal of improving these apps, we identify 3 questions for designers, and review for each in turn: current shortcomings, relevant approaches, exposed challenges, and potential solutions.

AB - For those with chronic conditions, such as Type 1 diabetes, smartphone apps offer the promise of an affordable, convenient, and personalized disease management tool. However, despite significant academic research and commercial development in this area, diabetes apps still show low adoption rates and underwhelming clinical outcomes. Through user-interaction sessions with 16 people with Type 1 diabetes, we provide evidence that commonly used interfaces for diabetes self-management apps, while providing certain benefits, can fail to explicitly address the cognitive and emotional requirements of users. From analysis of these sessions with eight such user interface designs, we report on user requirements, as well as interface benefits, limitations, and then discuss the implications of these findings. Finally, with the goal of improving these apps, we identify 3 questions for designers, and review for each in turn: current shortcomings, relevant approaches, exposed challenges, and potential solutions.

KW - Health

KW - chronic conditions

KW - mHealth

KW - apps

KW - quantified self

KW - personal informatics

KW - Internet of Things

KW - digital health

UR - https://www.scopus.com/pages/publications/85046960125

U2 - 10.1145/3173574.3174077

DO - 10.1145/3173574.3174077

M3 - Conference contribution

BT - CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

PB - ACM

Y2 - 21 April 2018 through 26 April 2018

ER -

Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps

Abstract

Conference

UN SDGs

Keywords

Access to Document

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Cite this