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Nake, Isabella
Publications (2 of 2) Show all publications
Alissandrakis, A. & Nake, I. (2016). A New Approach for Visualizing Quantified Self Data Using Avatars. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. Paper presented at 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, September 12-16, 2016, Heidelberg (pp. 522-527). New York, NY, USA: ACM Press
Open this publication in new window or tab >>A New Approach for Visualizing Quantified Self Data Using Avatars
2016 (English)In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, New York, NY, USA: ACM Press, 2016, p. 522-527Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, it is becoming more common for people to use applications or devices that keep track of their life and activities, such as physical fitness, places they visited, the music they listen to, or pictures they took. This generates data that are used by the service providers for a variety of (usually analytics) purposes, but commonly there are limitations on how the users themselves can also explore or interact with these data. Our position paper describes a new approach of visualizing such Quantified Self data, in a meaningful and enjoyable way that can give the users personal insights into their own data. The visualization of the information is proposed as an avatar that maps the different activities the user is engaged with, along with each such activity level, as graphical features. An initial prototype (both in terms of graphical design and software architecture) as well as possible future extensions are discussed.

Place, publisher, year, edition, pages
New York, NY, USA: ACM Press, 2016
Keywords
avatars, data visualization, quantified self
National Category
Media and Communication Technology
Research subject
Computer and Information Sciences Computer Science, Computer Science; Computer Science, Information and software visualization; Computer and Information Sciences Computer Science, Media Technology
Identifiers
urn:nbn:se:lnu:diva-56510 (URN)10.1145/2968219.2968315 (DOI)2-s2.0-84991094844 (Scopus ID)978-1-4503-4462-3 (ISBN)
Conference
2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, September 12-16, 2016, Heidelberg
Available from: 2016-09-14 Created: 2016-09-14 Last updated: 2018-01-10Bibliographically approved
Nake, I., Alissandrakis, A. & Zbick, J. (2016). Visualizing Quantified Self Data Using Avatars. In: Alma Leora Culén, Leslie Miller, Irini Giannopulu, and Birgit Gersbeck-Schierholz (Ed.), ACHI 2016: The Ninth International Conference on Advances in Computer-Human Interactions. Paper presented at ACHI 2016: The Ninth International Conference on Advances in Computer-Human Interactions (pp. 57-66). International Academy, Research and Industry Association (IARIA)
Open this publication in new window or tab >>Visualizing Quantified Self Data Using Avatars
2016 (English)In: ACHI 2016: The Ninth International Conference on Advances in Computer-Human Interactions / [ed] Alma Leora Culén, Leslie Miller, Irini Giannopulu, and Birgit Gersbeck-Schierholz, International Academy, Research and Industry Association (IARIA), 2016, p. 57-66Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, it is becoming more common for people to use applications or devices that keep track of their activities, such as fitness activities, places they visited, the music they listen to, and pictures they took. These data are used by the services for various purposes, but usually there are limitations for the users to explore or interact with them. Our project investigates a new approach of visualizing such Quantified Self data, in a meaningful and enjoyable way that gives the users insights into their data. The paper discusses the feasibility of creating a service that allows users to connect the activity tracking applications they already use, analyse the amount of activities, and then presents them the resulting information. The visualization of the information is proposed as an avatar that maps the different activities the user is engaged with, along with the activity levels, as graphical features. Within the scope of this work, several user studies were conducted and a system prototype was implemented to explore how to build, using web technologies, such a system that aggregates and analyses personal activity data, and also to determine what kind of data should and can be collected, to provide meaningful information to the users. Furthermore, it was investigated how a possible design for the avatar could look like, to be clearly understood by the users.

Place, publisher, year, edition, pages
International Academy, Research and Industry Association (IARIA), 2016
Keywords
Quantified Self, Avatars, Data Visualization
National Category
Media and Communication Technology
Research subject
Computer and Information Sciences Computer Science, Media Technology; Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-52381 (URN)978-1-61208-468-8 (ISBN)
Conference
ACHI 2016: The Ninth International Conference on Advances in Computer-Human Interactions
Available from: 2016-05-04 Created: 2016-05-04 Last updated: 2018-01-10Bibliographically approved
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