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  • The_Future_of_Data_Driven_Product_Design

    Rights statement: © ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems April 2020 https://dl.acm.org/doi/proceedings/10.1145/3313831

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Exploring the future of data-driven product design

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Exploring the future of data-driven product design. / Gorkovenko, Katerina ; Burnett, Dan; Thorp, James et al.

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York : ACM, 2020. p. 1-14.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Gorkovenko, K, Burnett, D, Thorp, J, Richards, D & Murray-Rust, D 2020, Exploring the future of data-driven product design. in CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM, New York, pp. 1-14, CHI 2020, 25/04/20. https://doi.org/10.1145/3313831.3376560

APA

Gorkovenko, K., Burnett, D., Thorp, J., Richards, D., & Murray-Rust, D. (2020). Exploring the future of data-driven product design. In CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-14). ACM. https://doi.org/10.1145/3313831.3376560

Vancouver

Gorkovenko K, Burnett D, Thorp J, Richards D, Murray-Rust D. Exploring the future of data-driven product design. In CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York: ACM. 2020. p. 1-14 doi: 10.1145/3313831.3376560

Author

Gorkovenko, Katerina ; Burnett, Dan ; Thorp, James et al. / Exploring the future of data-driven product design. CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York : ACM, 2020. pp. 1-14

Bibtex

@inproceedings{8642b8fa715d4e79abe161242073227b,
title = "Exploring the future of data-driven product design",
abstract = "Connected devices present new opportunities to advance design through data collection in the wild, similar to the way digital services evolve through analytics. However, it is still unclear how live data transmitted by connected devices informs the design of these products, going beyond performance optimisation to support creative practices. Design can be enriched by data captured by connected devices, from usage logs to environmental sensors, and data about the devices and people around them. Through a series of workshops, this papercontributes industry and academia perspectives on the future of data-driven product design. We highlight HCI challenges, issues and implications, including sensemaking and the generation of design insight. We further challenge current notions of data-driven design and envision ways in which future HCI research can develop ways to work with data in the design process in a connected, rich, human manner.",
keywords = "Data-driven design, Design research, IoT, Smart devices, In the wild, Human-centred design",
author = "Katerina Gorkovenko and Dan Burnett and James Thorp and Daniel Richards and Dave Murray-Rust",
note = "{\textcopyright} ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems April 2020 https://dl.acm.org/doi/proceedings/10.1145/3313831; CHI 2020 ; Conference date: 25-04-2020 Through 30-04-2020",
year = "2020",
month = apr,
day = "1",
doi = "10.1145/3313831.3376560",
language = "English",
pages = "1--14",
booktitle = "CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems",
publisher = "ACM",
url = "https://chi2020.acm.org/",

}

RIS

TY - GEN

T1 - Exploring the future of data-driven product design

AU - Gorkovenko, Katerina

AU - Burnett, Dan

AU - Thorp, James

AU - Richards, Daniel

AU - Murray-Rust, Dave

N1 - © ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems April 2020 https://dl.acm.org/doi/proceedings/10.1145/3313831

PY - 2020/4/1

Y1 - 2020/4/1

N2 - Connected devices present new opportunities to advance design through data collection in the wild, similar to the way digital services evolve through analytics. However, it is still unclear how live data transmitted by connected devices informs the design of these products, going beyond performance optimisation to support creative practices. Design can be enriched by data captured by connected devices, from usage logs to environmental sensors, and data about the devices and people around them. Through a series of workshops, this papercontributes industry and academia perspectives on the future of data-driven product design. We highlight HCI challenges, issues and implications, including sensemaking and the generation of design insight. We further challenge current notions of data-driven design and envision ways in which future HCI research can develop ways to work with data in the design process in a connected, rich, human manner.

AB - Connected devices present new opportunities to advance design through data collection in the wild, similar to the way digital services evolve through analytics. However, it is still unclear how live data transmitted by connected devices informs the design of these products, going beyond performance optimisation to support creative practices. Design can be enriched by data captured by connected devices, from usage logs to environmental sensors, and data about the devices and people around them. Through a series of workshops, this papercontributes industry and academia perspectives on the future of data-driven product design. We highlight HCI challenges, issues and implications, including sensemaking and the generation of design insight. We further challenge current notions of data-driven design and envision ways in which future HCI research can develop ways to work with data in the design process in a connected, rich, human manner.

KW - Data-driven design

KW - Design research

KW - IoT

KW - Smart devices

KW - In the wild

KW - Human-centred design

U2 - 10.1145/3313831.3376560

DO - 10.1145/3313831.3376560

M3 - Conference contribution/Paper

SP - 1

EP - 14

BT - CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

PB - ACM

CY - New York

T2 - CHI 2020

Y2 - 25 April 2020 through 30 April 2020

ER -