A Study on Activity Visualization for Smart Watches

Yu Liu; Fabiola Polidoro; Zhouxuan Xia

A Study on Activity Visualization for Smart Watches

Yu Liu
, Fabiola Polidoro
, Zhouxuan Xia

Xi'an Jiatong-Liverpool University

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

Abstract

This paper investigates the use of visualization to display activity data on smartwatches by surveying the data visual presentations proposed by 80 smartwatch models currently available on the Chinese e-commerce platform JD.com and, later, surveying the preferences of 41 users concerning these visualizations. The results show that despite radial bar charts are the most popular visualization for activity data on smartwatches, the users’ preferences might be influenced by their familiarity with these charts. These findings from this survey will be valuable for designers, developers, and researchers who are interested in creating innovative and effective solutions for activity visualization on smartwatches.

Original language	English
Title of host publication	The 16th IEEE Pacific Visualization Symposium
Publication status	Published - 18 Apr 2023

Access to Document

https://arxiv.org/abs/2407.02012

Cite this

@inproceedings{0c0a51caeee04e339c48a44ce57bb501,

title = "A Study on Activity Visualization for Smart Watches",

abstract = "This paper investigates the use of visualization to display activity data on smartwatches by surveying the data visual presentations proposed by 80 smartwatch models currently available on the Chinese e-commerce platform JD.com and, later, surveying the preferences of 41 users concerning these visualizations. The results show that despite radial bar charts are the most popular visualization for activity data on smartwatches, the users{\textquoteright} preferences might be influenced by their familiarity with these charts. These findings from this survey will be valuable for designers, developers, and researchers who are interested in creating innovative and effective solutions for activity visualization on smartwatches.",

author = "Yu Liu and Fabiola Polidoro and Zhouxuan Xia",

year = "2023",

month = apr,

day = "18",

language = "English",

booktitle = "The 16th IEEE Pacific Visualization Symposium",

}

TY - GEN

T1 - A Study on Activity Visualization for Smart Watches

AU - Liu, Yu

AU - Polidoro, Fabiola

AU - Xia, Zhouxuan

PY - 2023/4/18

Y1 - 2023/4/18

N2 - This paper investigates the use of visualization to display activity data on smartwatches by surveying the data visual presentations proposed by 80 smartwatch models currently available on the Chinese e-commerce platform JD.com and, later, surveying the preferences of 41 users concerning these visualizations. The results show that despite radial bar charts are the most popular visualization for activity data on smartwatches, the users’ preferences might be influenced by their familiarity with these charts. These findings from this survey will be valuable for designers, developers, and researchers who are interested in creating innovative and effective solutions for activity visualization on smartwatches.

AB - This paper investigates the use of visualization to display activity data on smartwatches by surveying the data visual presentations proposed by 80 smartwatch models currently available on the Chinese e-commerce platform JD.com and, later, surveying the preferences of 41 users concerning these visualizations. The results show that despite radial bar charts are the most popular visualization for activity data on smartwatches, the users’ preferences might be influenced by their familiarity with these charts. These findings from this survey will be valuable for designers, developers, and researchers who are interested in creating innovative and effective solutions for activity visualization on smartwatches.

M3 - Conference Proceeding

BT - The 16th IEEE Pacific Visualization Symposium

ER -

A Study on Activity Visualization for Smart Watches

Abstract

Access to Document

Fingerprint

Cite this