Experience Data-enabled Design!

Peter Lovei; Renee Noortman; Sujithra Raviselvam; Mathias Funk

doi:10.1145/3544549.3574175

Experience Data-enabled Design!

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	CHI EA '23
Subtitle of host publication	Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Editors	Albrecht Schmidt, Kaisa Väänänen, Per Ola Kristensson, Anicia Peters
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc.
Number of pages	3
ISBN (Electronic)	978-1-4503-9422-2
DOIs	https://doi.org/10.1145/3544549.3574175
Publication status	Published - 19 Apr 2023
Event	2023 Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023 https://chi2023.acm.org

Conference

Conference	2023 Conference on Human Factors in Computing Systems, CHI 2023
Abbreviated title	CHI 2023
Country/Territory	Germany
City	Hamburg
Period	23/04/23 → 28/04/23
Internet address	https://chi2023.acm.org

Keywords

behavior
context
data design
experience
prototyping
situated explorations

Access to Document

10.1145/3544549.3574175

Cite this

@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 (eds), 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, Germany, 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. ed. / Albrecht Schmidt; Kaisa Väänänen; Per Ola Kristensson; Anicia Peters. New York: Association for Computing Machinery, Inc., 2023. 538.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Experience Data-enabled Design!

AU - Lovei, Peter

AU - Noortman, Renee

AU - Raviselvam, Sujithra

AU - Funk, Mathias

PY - 2023/4/19

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

UR - https://www.scopus.com/pages/publications/85158080545

U2 - 10.1145/3544549.3574175

DO - 10.1145/3544549.3574175

M3 - Conference contribution

AN - SCOPUS:85158080545

BT - CHI EA '23

A2 - Schmidt, Albrecht

A2 - Väänänen, Kaisa

A2 - Kristensson, Per Ola

A2 - Peters, Anicia

PB - Association for Computing Machinery, Inc.

CY - New York

T2 - 2023 Conference on Human Factors in Computing Systems, CHI 2023

Y2 - 23 April 2023 through 28 April 2023

ER -

Experience Data-enabled Design!

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Conference

Keywords

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