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The Editable Self: A Workbench for Personal Activity Data

The Editable Self: A Workbench for Personal Activity Data
The Editable Self: A Workbench for Personal Activity Data
The many and varied personal activity trackers on the market have the potential to provide unprecedented detail and insight on our everyday activities. However, effective use and interpretation of data from them can be challenging due to common issues. Such issues include false readings due to sensing approaches taken, or missing data arising from a number of different causes. In order to understand user perceptions on this topic, we performed a preliminary survey, which found that users desired the ability to annotate, retroactively repair, and compare their data. Based on insights from this survey, we designed a direct-manipulation interface permitting the consolidated annotation and revision of activity data from multiple devices. A pilot study of this interface found that users understood readily how to use the features offered, and valued the ability to edit, yet preserve the provenance of their data.
Packer, Heather S.
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Buzogany, Gustavo
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Smith, Daniel Alexander
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Dragan, Laura
6d28687f-4aa8-43cc-90dd-7be7381b35e5
Van Kleek, Max
4d869656-cd47-4cdf-9a4f-697fa9ba4105
Shadbolt, Nigel R
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Packer, Heather S.
0e86c31f-6460-4bbd-b6ac-c717ee2cbd96
Buzogany, Gustavo
cfbda490-2d7e-4823-bc79-715c65f3eb60
Smith, Daniel Alexander
8d05522d-e91e-4aa7-8972-e362e73f005c
Dragan, Laura
6d28687f-4aa8-43cc-90dd-7be7381b35e5
Van Kleek, Max
4d869656-cd47-4cdf-9a4f-697fa9ba4105
Shadbolt, Nigel R
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Packer, Heather S., Buzogany, Gustavo, Smith, Daniel Alexander, Dragan, Laura, Van Kleek, Max and Shadbolt, Nigel R (2014) The Editable Self: A Workbench for Personal Activity Data. At ACM CHI Conference on Human Factors in Computing Systems 2014 (CHI2014) ACM CHI Conference on Human Factors in Computing Systems 2014 (CHI2014).

Record type: Conference or Workshop Item (Paper)

Abstract

The many and varied personal activity trackers on the market have the potential to provide unprecedented detail and insight on our everyday activities. However, effective use and interpretation of data from them can be challenging due to common issues. Such issues include false readings due to sensing approaches taken, or missing data arising from a number of different causes. In order to understand user perceptions on this topic, we performed a preliminary survey, which found that users desired the ability to annotate, retroactively repair, and compare their data. Based on insights from this survey, we designed a direct-manipulation interface permitting the consolidated annotation and revision of activity data from multiple devices. A pilot study of this interface found that users understood readily how to use the features offered, and valued the ability to edit, yet preserve the provenance of their data.

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More information

Published date: April 2014
Venue - Dates: ACM CHI Conference on Human Factors in Computing Systems 2014 (CHI2014), 2014-04-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 362097
URI: https://eprints.soton.ac.uk/id/eprint/362097
PURE UUID: d74711ea-34ac-496d-8ce5-ba7408e21787

Catalogue record

Date deposited: 13 Feb 2014 15:45
Last modified: 18 Jul 2017 02:55

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