Micro Visualizations on a Smartwatch: Assessing Reading Performance While Walking

Fairouz Grioui; Tanja Blascheck; Lijie Yao; Petra Isenberg

doi:10.48550/arXiv.2407.17893

Micro Visualizations on a Smartwatch: Assessing Reading Performance While Walking

Fairouz Grioui^*, Tanja Blascheck, Lijie Yao, Petra Isenberg

^*Corresponding author for this work

Department of Computing

Research output: Contribution to conference › Paper › peer-review

Abstract

With two studies, we assess how different walking trajectories (straight line, circular, and infinity) and speeds (2 km/h, 4 km/h, and 6 km/h) influence the accuracy and response time of participants reading micro visualizations on a smartwatch. We showed our participants common watch face micro visualizations including date, time, weather information, and four complications showing progress charts of fitness data. Our findings suggest that while walking trajectories did not significantly affect reading performance, overall walking activity, especially at high speeds, hurt reading accuracy and, to some extent, response time.

Original language	English
Pages	1-9
Number of pages	9
DOIs	https://doi.org/10.48550/arXiv.2407.17893
Publication status	Accepted/In press - 1 Jul 2024
Event	2024 IEEE Visualization Conference - St. Pete Beach, United States Duration: 13 Oct 2024 → 18 Oct 2024 https://ieeevis.org/year/2024/welcome

Conference

Conference	2024 IEEE Visualization Conference
Abbreviated title	IEEE VIS 2024
Country/Territory	United States
City	St. Pete Beach
Period	13/10/24 → 18/10/24
Internet address	https://ieeevis.org/year/2024/welcome

Keywords

Visualization in motion
Mobile and wearable devices
Sports activities
Visualization perception

Access to Document

10.48550/arXiv.2407.17893Licence: CC BY-NC-SA

https://arxiv.org/pdf/2407.17893v1Licence: CC BY-NC-SA

Cite this

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title = "Micro Visualizations on a Smartwatch: Assessing Reading Performance While Walking",

abstract = "With two studies, we assess how different walking trajectories (straight line, circular, and infinity) and speeds (2 km/h, 4 km/h, and 6 km/h) influence the accuracy and response time of participants reading micro visualizations on a smartwatch. We showed our participants common watch face micro visualizations including date, time, weather information, and four complications showing progress charts of fitness data. Our findings suggest that while walking trajectories did not significantly affect reading performance, overall walking activity, especially at high speeds, hurt reading accuracy and, to some extent, response time.",

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author = "Fairouz Grioui and Tanja Blascheck and Lijie Yao and Petra Isenberg",

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T1 - Micro Visualizations on a Smartwatch: Assessing Reading Performance While Walking

AU - Grioui, Fairouz

AU - Blascheck, Tanja

AU - Yao, Lijie

AU - Isenberg, Petra

PY - 2024/7/1

Y1 - 2024/7/1

N2 - With two studies, we assess how different walking trajectories (straight line, circular, and infinity) and speeds (2 km/h, 4 km/h, and 6 km/h) influence the accuracy and response time of participants reading micro visualizations on a smartwatch. We showed our participants common watch face micro visualizations including date, time, weather information, and four complications showing progress charts of fitness data. Our findings suggest that while walking trajectories did not significantly affect reading performance, overall walking activity, especially at high speeds, hurt reading accuracy and, to some extent, response time.

AB - With two studies, we assess how different walking trajectories (straight line, circular, and infinity) and speeds (2 km/h, 4 km/h, and 6 km/h) influence the accuracy and response time of participants reading micro visualizations on a smartwatch. We showed our participants common watch face micro visualizations including date, time, weather information, and four complications showing progress charts of fitness data. Our findings suggest that while walking trajectories did not significantly affect reading performance, overall walking activity, especially at high speeds, hurt reading accuracy and, to some extent, response time.

KW - Visualization in motion

KW - Mobile and wearable devices

KW - Sports activities

KW - Visualization perception

U2 - 10.48550/arXiv.2407.17893

DO - 10.48550/arXiv.2407.17893

M3 - Paper

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EP - 9

T2 - 2024 IEEE Visualization Conference

Y2 - 13 October 2024 through 18 October 2024

ER -

Micro Visualizations on a Smartwatch: Assessing Reading Performance While Walking

Abstract

Conference

Keywords

Access to Document

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Cite this