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  • Houben-Roam-io-DIS2019-v5-final

    Rights statement: © ACM, 2019. 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 DIS '19 Proceedings of the 2019 on Designing Interactive Systems Conference, 2019 https://dl.acm.org/citation.cfm?id=3322303

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Roam-IO: Engaging With People Tracking Data through an Interactive Physical Data Installation

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

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Roam-IO : Engaging With People Tracking Data through an Interactive Physical Data Installation. / Houben, Steven; Bengler, Ben; Gavrilov, Daniel; Gallacher, Sarah; Nisi, Valentina; Nunes, Nuno Jardim; Capra, Licia; Rogers, Yvonne.

DIS '19 Proceedings of the 2019 on Designing Interactive Systems Conference. New York : ACM, 2019. p. 1157-1169.

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

Harvard

Houben, S, Bengler, B, Gavrilov, D, Gallacher, S, Nisi, V, Nunes, NJ, Capra, L & Rogers, Y 2019, Roam-IO: Engaging With People Tracking Data through an Interactive Physical Data Installation. in DIS '19 Proceedings of the 2019 on Designing Interactive Systems Conference. ACM, New York, pp. 1157-1169. https://doi.org/10.1145/3322276.3322303

APA

Houben, S., Bengler, B., Gavrilov, D., Gallacher, S., Nisi, V., Nunes, N. J., Capra, L., & Rogers, Y. (2019). Roam-IO: Engaging With People Tracking Data through an Interactive Physical Data Installation. In DIS '19 Proceedings of the 2019 on Designing Interactive Systems Conference (pp. 1157-1169). ACM. https://doi.org/10.1145/3322276.3322303

Vancouver

Houben S, Bengler B, Gavrilov D, Gallacher S, Nisi V, Nunes NJ et al. Roam-IO: Engaging With People Tracking Data through an Interactive Physical Data Installation. In DIS '19 Proceedings of the 2019 on Designing Interactive Systems Conference. New York: ACM. 2019. p. 1157-1169 https://doi.org/10.1145/3322276.3322303

Author

Houben, Steven ; Bengler, Ben ; Gavrilov, Daniel ; Gallacher, Sarah ; Nisi, Valentina ; Nunes, Nuno Jardim ; Capra, Licia ; Rogers, Yvonne. / Roam-IO : Engaging With People Tracking Data through an Interactive Physical Data Installation. DIS '19 Proceedings of the 2019 on Designing Interactive Systems Conference. New York : ACM, 2019. pp. 1157-1169

Bibtex

@inproceedings{473e841ab9cf4bf0a0f6fe57dd799359,
title = "Roam-IO: Engaging With People Tracking Data through an Interactive Physical Data Installation",
abstract = "Newly emerging urban IoT infrastructures are enabling novel ways of sensing how urban spaces are being used. However, the data produced by these systems are largely context-agnostic, making it difficult to discern what patterns and anomalies in the data mean. We propose a hybrid data approach that combines the quantitative data collected from an urban IoT sensing infrastructure with qualitative data contributed by people answering specific kinds of questions in situ. We developed a public installation, Roam-io, to entice and encourage the public to walk-up and answer questions to suggest what the data might represent and enrich it with subjective observations. The findings from an in the wild study on the island of Madeira showed that many passers-by stopped and interacted with Roam-io and attempted to make sense of the data and contribute in situ observations.",
author = "Steven Houben and Ben Bengler and Daniel Gavrilov and Sarah Gallacher and Valentina Nisi and Nunes, {Nuno Jardim} and Licia Capra and Yvonne Rogers",
note = "{\textcopyright} ACM, 2019. 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 DIS '19 Proceedings of the 2019 on Designing Interactive Systems Conference, 2019 https://dl.acm.org/citation.cfm?id=3322303",
year = "2019",
month = jun,
day = "23",
doi = "10.1145/3322276.3322303",
language = "English",
isbn = "9781450358507",
pages = "1157--1169",
booktitle = "DIS '19 Proceedings of the 2019 on Designing Interactive Systems Conference",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Roam-IO

T2 - Engaging With People Tracking Data through an Interactive Physical Data Installation

AU - Houben, Steven

AU - Bengler, Ben

AU - Gavrilov, Daniel

AU - Gallacher, Sarah

AU - Nisi, Valentina

AU - Nunes, Nuno Jardim

AU - Capra, Licia

AU - Rogers, Yvonne

N1 - © ACM, 2019. 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 DIS '19 Proceedings of the 2019 on Designing Interactive Systems Conference, 2019 https://dl.acm.org/citation.cfm?id=3322303

PY - 2019/6/23

Y1 - 2019/6/23

N2 - Newly emerging urban IoT infrastructures are enabling novel ways of sensing how urban spaces are being used. However, the data produced by these systems are largely context-agnostic, making it difficult to discern what patterns and anomalies in the data mean. We propose a hybrid data approach that combines the quantitative data collected from an urban IoT sensing infrastructure with qualitative data contributed by people answering specific kinds of questions in situ. We developed a public installation, Roam-io, to entice and encourage the public to walk-up and answer questions to suggest what the data might represent and enrich it with subjective observations. The findings from an in the wild study on the island of Madeira showed that many passers-by stopped and interacted with Roam-io and attempted to make sense of the data and contribute in situ observations.

AB - Newly emerging urban IoT infrastructures are enabling novel ways of sensing how urban spaces are being used. However, the data produced by these systems are largely context-agnostic, making it difficult to discern what patterns and anomalies in the data mean. We propose a hybrid data approach that combines the quantitative data collected from an urban IoT sensing infrastructure with qualitative data contributed by people answering specific kinds of questions in situ. We developed a public installation, Roam-io, to entice and encourage the public to walk-up and answer questions to suggest what the data might represent and enrich it with subjective observations. The findings from an in the wild study on the island of Madeira showed that many passers-by stopped and interacted with Roam-io and attempted to make sense of the data and contribute in situ observations.

U2 - 10.1145/3322276.3322303

DO - 10.1145/3322276.3322303

M3 - Conference contribution/Paper

SN - 9781450358507

SP - 1157

EP - 1169

BT - DIS '19 Proceedings of the 2019 on Designing Interactive Systems Conference

PB - ACM

CY - New York

ER -