A showcase of data-enabled design explorations

Sander Bogers, Janne Van Kollenburg, Heleen Rutjes, Eva Deckers, Joep Frens, Caroline Hummels

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)
17 Downloads (Pure)

Samenvatting

In the demonstrator associated with this paper we present the ‘data-enabled design canvas’ that we used to investigate and explore the value of parent tracked data in parent – healthcare professional interactions. The ‘data-enabled design canvas’ is a collection of physical and digital prototypes, that is open for new design explorations, that aid in utilizing data as creative material for design. Through this demonstrator we highlight the physical and explorative qualities of our approach and give insight in how our research through design approach has contributed to our insights.

Originele taal-2Engels
TitelCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
SubtitelEngage with CHI
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc
Aantal pagina's4
Volume2018-April
ISBN van geprinte versie978-1-4503-5621-3
DOI's
StatusGepubliceerd - 20 apr 2018
EvenementCHI '18 - Montreal, Canada, Montreal, Canada
Duur: 21 apr 201826 apr 2018
Congresnummer: 36
http://chi2018.acm.org
https://chi2018.acm.org/

Congres

CongresCHI '18
Verkorte titelCHI
LandCanada
StadMontreal
Periode21/04/1826/04/18
Internet adres

Projecten

Impuls I - Health - Perinatal Monitoring - TU/e funded

1/01/1531/12/20

Project: Onderzoek indirect

Impact

Perinatal Medicine

M.B. (Beatrijs) van der Hout-van der Jagt (Content manager)

Impact: Research Topic/Theme (at group level)

Citeer dit

Bogers, S., Van Kollenburg, J., Rutjes, H., Deckers, E., Frens, J., & Hummels, C. (2018). A showcase of data-enabled design explorations. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Vol. 2018-April). [D302] Association for Computing Machinery, Inc. https://doi.org/10.1145/3170427.3186543