Building a qualified self around lifecycles of experience and thinking

Theresa Dirndorfer Anderson, Roberto Martinez-Maldonado

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther


This paper shares some questions and preliminary findings emerging from a work-in-progress exploring methods to obtain qualitative data to contextualize self-tracked data. With the emergence of more sophisticated body sensors we may be able to automatically record our data but that will not necessary mean that data will be more accurate. Auto-generated data is easier to collect but we are learning how quantified self is not telling the full story. The goal of this paper is to trigger conversation about the need to explore methods to obtain qualitative data from quantitative self-tracked data and about the capacity of the digital traces of our human existence to account for our thoughts and our feelings.
Original languageEnglish
Title of host publicationCHI 2016 Workshop on Personal Information Management (PIM 2016)
EditorsWilliam Jones, Catherine Marshall, Victoria Bellotti, Robert Capra, Jesse David Dinneen, Gloria Mark, Karyn Moffatt, Jaime Teevan, Max Van Kleek
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages5
Publication statusPublished - 2016
Externally publishedYes
EventWorkshop on Personal Information Management 2016 - San Jose, United States of America
Duration: 7 May 20188 May 2018


ConferenceWorkshop on Personal Information Management 2016
Abbreviated titlePIM 2016
CountryUnited States of America
CitySan Jose
Internet address


  • Quantified self
  • Qualified self
  • Communities
  • Self-Tracking

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