Publications

Detailed Information

OmniTrack: Designing Flexible and Highly Customizable Quantified-Self Tool : 유연하고 쉽게 사용자화 할 수 있는 퀀티파이드 셀프 도구 디자인

DC Field Value Language
dc.contributor.advisor서진욱-
dc.contributor.authorJae Ho Jeon-
dc.date.accessioned2017-07-14T02:35:20Z-
dc.date.available2017-07-14T02:35:20Z-
dc.date.issued2016-08-
dc.identifier.other000000135918-
dc.identifier.urihttps://hdl.handle.net/10371/122666-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 컴퓨터공학부, 2016. 8. 서진욱.-
dc.description.abstractSelf-tracking practices are becoming increasingly prevalent, but because existing tools does not fit ones tracking needs exactly, and most people do not have the ability to implement their own tools, people tend to appropriate general-purpose tools to track their lives. To help people with self-tracking needs but lack the adequate tools, we designed and developed OmniTrack, a smartphone-based manual tracking application which the user can flexibly customize to fit their tracking needs. By interviewing 12 self-trackers and reviewing 62 self-tracking apps from the App Store, we were able to identify the design space of manual tracking applications. In the paper, we describe the design space and implications, and developed a prototype based on the results and present use case scenarios to demonstrate the usefulness of the tool. We discuss how the tool can be extended to be used in the context of medical environment, especially in the doctor-patient relationship.-
dc.description.tableofcontents1. Introduction 7

2. Related Work 9
2.1. Personal Information Collection 9
2.2. Barriers in Tracking and Workarounds 10
2.3. Automated Tracking Systems 10
2.4. Manual Tracking Systems 11

3. The Study 12
3.1. Interview 12
3.2. Mobile Tracking Application Analysis 15

4. Design and Implementation 20
4.1. Design Rationale 20
4.2. Design and Implementation of OmniTrack 21

5. Use Case Scenarios 26

6. Discussion and Future Work 29

7. Conclusion 30

References 31

Abstraction (in Korean) 35
-
dc.formatapplication/pdf-
dc.format.extent6260625 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectQuantified Self-
dc.subjectSelf-Tracking-
dc.subjectSelf-Monitoring-
dc.subjectManual Tracking-
dc.subject.ddc621-
dc.titleOmniTrack: Designing Flexible and Highly Customizable Quantified-Self Tool-
dc.title.alternative유연하고 쉽게 사용자화 할 수 있는 퀀티파이드 셀프 도구 디자인-
dc.typeThesis-
dc.contributor.AlternativeAuthor전재호-
dc.description.degreeMaster-
dc.citation.pages36-
dc.contributor.affiliation공과대학 컴퓨터공학부-
dc.date.awarded2016-08-
Appears in Collections:
Files in This Item:

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share