<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>2595</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>523</pageFirst>
    <pageLast>537</pageLast>
    <pageNumber>15</pageNumber>
    <edition/>
    <issue/>
    <volume>2021</volume>
    <type>conferenceobject</type>
    <publisherName>Association for Computing Machinery</publisherName>
    <publisherPlace>New York</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-03-07</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">I/O Bits</title>
    <abstract language="eng">We present I/O Bits, a prototype personal informatics system that explores the potential for user-driven and situated self-tracking. With simple tactile inputs and small e-paper visualizations, I/O Bits are dedicated physical devices that allow individuals to track and visualize different kinds of personal activities in-situ. This is in contrast to most self-tracking systems, which automate data collection, centralize information displays, or integrate into multi-purpose devices like smartwatches or mobile phones. We report findings from an e-paper visualization workshop and a prototype deployment where participants constructed their own I/O Bits and used them to track a range of personal data. Based on these experiences, we contribute insights and opportunities for situated and user-driven personal informatics.</abstract>
    <parentTitle language="eng">Designing Interactive Systems Conference 2021 (DIS ’21)</parentTitle>
    <subTitle language="eng">User-Driven, Situated, and Dedicated Self-Tracking</subTitle>
    <identifier type="doi">10.1145/3461778.3462138</identifier>
    <identifier type="isbn">978-1-4503-8476-6</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell -  Weitergabe unter gleichen Bedingungen 4.0 International</licence>
    <author>Kendra Wannamaker</author>
    <author>Sandeep Kollannur</author>
    <author>Marian Dörk</author>
    <author>Wesley Willett</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Personal Data/Tracking</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Visualization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ambient Devices</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Ubiquitous Computing</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Internet der Dinge</value>
    </subject>
    <collection role="ddc" number="000">Informatik, Wissen, Systeme</collection>
    <collection role="institutes" number="">FB4 Design</collection>
    <thesisPublisher>Fachhochschule Potsdam</thesisPublisher>
  </doc>
</export-example>
