Exploring the value of parent-tracked baby data in interactions with healthcare professionals: A data-enabled design exploration

J.W.M. van Kollenburg, S.J.A. Bogers, H. Rutjes, E.J.L. Deckers, J.W. Frens, C.C.M. Hummels

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

20 Citations (Scopus)
375 Downloads (Pure)

Abstract

This paper presents a designerly exploration of the potential values of parent-tracked baby data in interactions between parents and healthcare professionals (HCPs). Where previous work has used parent-tracked data as part of the solution to a problem, we contribute by starting our design exploration from data, using it as creative material in our design process. As we intend to work towards a system that could be viable across different levels of care, we invited three different types of HCPs and five families with newborns, for a five-week situated design exploration. Facilitated by an open and dynamic data collection toolkit, parents and HCPs could together decide what data to collect. In a continuous dialogue, they reflected on the relevance of that data in their interaction. Based on this, we continuously and remotely developed two concepts.

Original languageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Number of pages12
Volume2018-April
ISBN (Electronic)9781450356206, 9781450356213
ISBN (Print)978-1-4503-5620-6
DOIs
Publication statusPublished - 20 Apr 2018
Event2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada, Montreal, Canada
Duration: 21 Apr 201826 Apr 2018
Conference number: 36
http://chi2018.acm.org

Conference

Conference2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
Abbreviated titleCHI 2018
Country/TerritoryCanada
CityMontreal
Period21/04/1826/04/18
Internet address

Keywords

  • Babies
  • Data
  • Data-enabled design
  • Exploration
  • Health
  • Healthcare professionals
  • Parents
  • Personal informatics

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