Data Engagement Reconsidered: A Study of Automatic Stress Tracking Technology in Use
In today's fast-paced world, stress has become a growing health concern. While more automatic stress tracking technologies have recently become available on wearable or mobile devices, there is still a limited understanding of how they are actually used in everyday life. This paper presents an...
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creator | Ding, Xianghua Wei, Shuhan Gui, Xinning Gu, Ning Zhang, Peng |
description | In today's fast-paced world, stress has become a growing health concern.
While more automatic stress tracking technologies have recently become
available on wearable or mobile devices, there is still a limited understanding
of how they are actually used in everyday life. This paper presents an
empirical study of automatic stress-tracking technologies in use in China,
based on semi-structured interviews with 17 users. The study highlights three
challenges of stress-tracking data engagement that prevent effective technology
usage: the lack of immediate awareness, the lack of pre-required knowledge, and
the lack of corresponding communal support. Drawing on the stress-tracking
practices uncovered in the study, we bring these issues to the fore, and unpack
assumptions embedded in related works on self-tracking and how data engagement
is approached. We end by calling for a reconsideration of data engagement as
part of self-tracking practices with technologies rather than simply looking at
the user interface. |
doi_str_mv | 10.48550/arxiv.2101.05450 |
format | Article |
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While more automatic stress tracking technologies have recently become
available on wearable or mobile devices, there is still a limited understanding
of how they are actually used in everyday life. This paper presents an
empirical study of automatic stress-tracking technologies in use in China,
based on semi-structured interviews with 17 users. The study highlights three
challenges of stress-tracking data engagement that prevent effective technology
usage: the lack of immediate awareness, the lack of pre-required knowledge, and
the lack of corresponding communal support. Drawing on the stress-tracking
practices uncovered in the study, we bring these issues to the fore, and unpack
assumptions embedded in related works on self-tracking and how data engagement
is approached. We end by calling for a reconsideration of data engagement as
part of self-tracking practices with technologies rather than simply looking at
the user interface.</description><identifier>DOI: 10.48550/arxiv.2101.05450</identifier><language>eng</language><subject>Computer Science - Human-Computer Interaction</subject><creationdate>2021-01</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2101.05450$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2101.05450$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Ding, Xianghua</creatorcontrib><creatorcontrib>Wei, Shuhan</creatorcontrib><creatorcontrib>Gui, Xinning</creatorcontrib><creatorcontrib>Gu, Ning</creatorcontrib><creatorcontrib>Zhang, Peng</creatorcontrib><title>Data Engagement Reconsidered: A Study of Automatic Stress Tracking Technology in Use</title><description>In today's fast-paced world, stress has become a growing health concern.
While more automatic stress tracking technologies have recently become
available on wearable or mobile devices, there is still a limited understanding
of how they are actually used in everyday life. This paper presents an
empirical study of automatic stress-tracking technologies in use in China,
based on semi-structured interviews with 17 users. The study highlights three
challenges of stress-tracking data engagement that prevent effective technology
usage: the lack of immediate awareness, the lack of pre-required knowledge, and
the lack of corresponding communal support. Drawing on the stress-tracking
practices uncovered in the study, we bring these issues to the fore, and unpack
assumptions embedded in related works on self-tracking and how data engagement
is approached. We end by calling for a reconsideration of data engagement as
part of self-tracking practices with technologies rather than simply looking at
the user interface.</description><subject>Computer Science - Human-Computer Interaction</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotz71OwzAUhmEvDKhwAUz4BhKOY7tx2KJSfqRKSBDm6MQ-CRaNg-wUkbsHWqZPeodPehi7EpArozXcYPz2X3khQOSglYZz1tzhjHwbBhxopDDzF7JTSN5RJHfLa_46H9zCp57Xh3kacfb2N0VKiTcR7YcPA2_IvodpPw0L94G_JbpgZz3uE13-74o199tm85jtnh-eNvUuw3UJmQWrug4rErpQqiMrjRadrajUIKC0yjlhSrm2UhYkXY8aQZmuL4QwoColV-z6dHtktZ_RjxiX9o_XHnnyByUHSgg</recordid><startdate>20210113</startdate><enddate>20210113</enddate><creator>Ding, Xianghua</creator><creator>Wei, Shuhan</creator><creator>Gui, Xinning</creator><creator>Gu, Ning</creator><creator>Zhang, Peng</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20210113</creationdate><title>Data Engagement Reconsidered: A Study of Automatic Stress Tracking Technology in Use</title><author>Ding, Xianghua ; Wei, Shuhan ; Gui, Xinning ; Gu, Ning ; Zhang, Peng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a670-c0c4bba9e15244bec3851bc9e750107c4dd18736c332e3dfa5a048bf211804943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Computer Science - Human-Computer Interaction</topic><toplevel>online_resources</toplevel><creatorcontrib>Ding, Xianghua</creatorcontrib><creatorcontrib>Wei, Shuhan</creatorcontrib><creatorcontrib>Gui, Xinning</creatorcontrib><creatorcontrib>Gu, Ning</creatorcontrib><creatorcontrib>Zhang, Peng</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ding, Xianghua</au><au>Wei, Shuhan</au><au>Gui, Xinning</au><au>Gu, Ning</au><au>Zhang, Peng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Data Engagement Reconsidered: A Study of Automatic Stress Tracking Technology in Use</atitle><date>2021-01-13</date><risdate>2021</risdate><abstract>In today's fast-paced world, stress has become a growing health concern.
While more automatic stress tracking technologies have recently become
available on wearable or mobile devices, there is still a limited understanding
of how they are actually used in everyday life. This paper presents an
empirical study of automatic stress-tracking technologies in use in China,
based on semi-structured interviews with 17 users. The study highlights three
challenges of stress-tracking data engagement that prevent effective technology
usage: the lack of immediate awareness, the lack of pre-required knowledge, and
the lack of corresponding communal support. Drawing on the stress-tracking
practices uncovered in the study, we bring these issues to the fore, and unpack
assumptions embedded in related works on self-tracking and how data engagement
is approached. We end by calling for a reconsideration of data engagement as
part of self-tracking practices with technologies rather than simply looking at
the user interface.</abstract><doi>10.48550/arxiv.2101.05450</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Human-Computer Interaction |
title | Data Engagement Reconsidered: A Study of Automatic Stress Tracking Technology in Use |
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