Evolving the Ecosystem of Personal Behavioral Data. (2nd November 2017)
- Record Type:
- Journal Article
- Title:
- Evolving the Ecosystem of Personal Behavioral Data. (2nd November 2017)
- Main Title:
- Evolving the Ecosystem of Personal Behavioral Data
- Authors:
- Wiese, Jason
Das, Sauvik
Hong, Jason I.
Zimmerman, John - Abstract:
- Abstract : Everyday, people generate lots of personal data. Driven by the increasing use of online services and widespread adoption of smartphones (owned by 68% of U.S. residents; Anderson, 2015), personal data take many forms, including communications (e.g., e-mail, SMS, Facebook), plans and coordination (e.g., calendars, TripIt, to-do lists), entertainment consumption (e.g., YouTube, Spotify, Netflix), finances (e.g., banking, Amazon, eBay), activities (e.g., steps, runs, check-ins), and even health care (e.g., doctor visits, medications, heart rate). Collectively, these data provide a highly detailed description of an individual. Personal data afford the opportunity for many new kinds of applications that might improve people's lives through deep personalization, tools to manage personal well-being, and services that support identity construction. However, developers currently encounter challenges working with personal data due to its fragmentation across services. This article evaluates the landscape of personal data, including the systemic forces that created current fragmented collections of data and the process required for integrating data from across services into an application. It details challenges the fragmented ecosystem imposes. Finally, it contributes Phenom, an experimental system that addresses these challenges, making it easier to develop applications that access personal data and providing users with greater control over how their data are used.
- Is Part Of:
- Human-computer interaction. Volume 32:Isuse 5/6(2017)
- Journal:
- Human-computer interaction
- Issue:
- Volume 32:Isuse 5/6(2017)
- Issue Display:
- Volume 32, Issue 5/6 (2017)
- Year:
- 2017
- Volume:
- 32
- Issue:
- 5/6
- Issue Sort Value:
- 2017-0032-NaN-0000
- Page Start:
- 447
- Page End:
- 510
- Publication Date:
- 2017-11-02
- Subjects:
- System design -- Periodicals
Computers -- Psychological aspects -- Periodicals
Human-machine systems -- Periodicals
004.019 - Journal URLs:
- http://www.tandfonline.com/toc/hhci20/current ↗
http://www.informaworld.com/smpp/title~db=jour~content=t775653648~tab=issueslist ↗
http://www.tandfonline.com/ ↗
http://firstsearch.oclc.org ↗
http://www.leaonline.com/loi/hci ↗ - DOI:
- 10.1080/07370024.2017.1295857 ↗
- Languages:
- English
- ISSNs:
- 0737-0024
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4336.043450
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5696.xml