Experience Data-enabled Design!

Peter Lovei; Renee Noortman; Sujithra Raviselvam; Mathias Funk

doi:10.1145/3544549.3574175

Experience Data-enabled Design!

Peter Lovei
, Renee Noortman
, Sujithra Raviselvam
, Mathias Funk

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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During the Experience Data-enabled Design! (DED) course attendees will learn about designing for intelligent ecosystems while using data as a creative material. After a brief introduction of the method, and (industrial) cases the participants will collect their data from the context of the conference using personalized design probes. This course offers a careful balance between hands-on work and DED theory. The learning outcomes focus on topics of (physical) prototyping, (remote) data collection and analysis, using data as a creative material, and designing remote interventions.

Originele taal-2	Engels
Titel	CHI EA '23
Subtitel	Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Redacteuren	Albrecht Schmidt, Kaisa Väänänen, Per Ola Kristensson, Anicia Peters
Plaats van productie	New York
Uitgeverij	Association for Computing Machinery, Inc.
Aantal pagina's	3
ISBN van elektronische versie	978-1-4503-9422-2
DOI's	https://doi.org/10.1145/3544549.3574175
Status	Gepubliceerd - 19 apr 2023
Evenement	2023 Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Duitsland Duur: 23 apr 2023 → 28 apr 2023 https://chi2023.acm.org

Congres

Congres	2023 Conference on Human Factors in Computing Systems, CHI 2023
Verkorte titel	CHI 2023
Land/Regio	Duitsland
Stad	Hamburg
Periode	23/04/23 → 28/04/23
Internet adres	https://chi2023.acm.org

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10.1145/3544549.3574175

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@inproceedings{d3733bbbbe3e4cf28261d173ef770a49,

title = "Experience Data-enabled Design!",

abstract = "During the Experience Data-enabled Design! (DED) course attendees will learn about designing for intelligent ecosystems while using data as a creative material. After a brief introduction of the method, and (industrial) cases the participants will collect their data from the context of the conference using personalized design probes. This course offers a careful balance between hands-on work and DED theory. The learning outcomes focus on topics of (physical) prototyping, (remote) data collection and analysis, using data as a creative material, and designing remote interventions.",

keywords = "behavior, context, data design, experience, prototyping, situated explorations",

author = "Peter Lovei and Renee Noortman and Sujithra Raviselvam and Mathias Funk",

year = "2023",

month = apr,

day = "19",

doi = "10.1145/3544549.3574175",

language = "English",

editor = "Albrecht Schmidt and Kaisa V{\"a}{\"a}n{\"a}nen and Kristensson, \{Per Ola\} and Anicia Peters",

booktitle = "CHI EA '23",

publisher = "Association for Computing Machinery, Inc.",

address = "United States",

note = "2023 Conference on Human Factors in Computing Systems, CHI 2023, CHI 2023 ; Conference date: 23-04-2023 Through 28-04-2023",

url = "https://chi2023.acm.org",

}

Lovei, P, Noortman, R, Raviselvam, S & Funk, M 2023, Experience Data-enabled Design! in A Schmidt, K Väänänen, PO Kristensson & A Peters (reds.), CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems., 538, Association for Computing Machinery, Inc., New York, 2023 Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Duitsland, 23/04/23. https://doi.org/10.1145/3544549.3574175

Experience Data-enabled Design! / Lovei, Peter; Noortman, Renee; Raviselvam, Sujithra et al.
CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. reds. / Albrecht Schmidt; Kaisa Väänänen; Per Ola Kristensson; Anicia Peters. New York: Association for Computing Machinery, Inc., 2023. 538.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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Y1 - 2023/4/19

N2 - During the Experience Data-enabled Design! (DED) course attendees will learn about designing for intelligent ecosystems while using data as a creative material. After a brief introduction of the method, and (industrial) cases the participants will collect their data from the context of the conference using personalized design probes. This course offers a careful balance between hands-on work and DED theory. The learning outcomes focus on topics of (physical) prototyping, (remote) data collection and analysis, using data as a creative material, and designing remote interventions.

AB - During the Experience Data-enabled Design! (DED) course attendees will learn about designing for intelligent ecosystems while using data as a creative material. After a brief introduction of the method, and (industrial) cases the participants will collect their data from the context of the conference using personalized design probes. This course offers a careful balance between hands-on work and DED theory. The learning outcomes focus on topics of (physical) prototyping, (remote) data collection and analysis, using data as a creative material, and designing remote interventions.

KW - behavior

KW - context

KW - data design

KW - experience

KW - prototyping

KW - situated explorations

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DO - 10.1145/3544549.3574175

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AN - SCOPUS:85158080545

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A2 - Schmidt, Albrecht

A2 - Väänänen, Kaisa

A2 - Kristensson, Per Ola

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Y2 - 23 April 2023 through 28 April 2023

ER -

Experience Data-enabled Design!

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