The contextual complexity of privacy in smart homes and smart buildings

Faith McCreary; Alexandra Zafiroglu; Heather Patterson

doi:10.1007/978-3-319-39399-5_7

The contextual complexity of privacy in smart homes and smart buildings

Faith McCreary^*, Alexandra Zafiroglu, Heather Patterson

^*Corresponding author for this work

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

22 Citations (Scopus)

Abstract

Smart technologies allow unprecedented visibility into activities in homes and buildings, while they enable new services that householders and workers will value. As people become increasingly aware of the magnitude and potentially sensitive nature of the data being collected through these technologies, privacy is emerging as a potential barrier to user adoption. In this paper, we apply leading privacy models to the results of qualitative research in which we solicited ideas for adding intelligence to homes and buildings, paying particular attention to information sensitivity about everyday activities that take place in those settings. We identify locations and activities that are particularly information-sharing sensitive, prioritize the salience of different types of privacy violations for householders and workers, and examine the influence of privacy attitudes on smart device ownership and desired future smart experiences.

Original language	English
Title of host publication	HCI in Business, Government, and Organizations
Subtitle of host publication	Information Systems - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings
Editors	Chuan-Hoo Tan, Fiona Fui-Hoon Nah
Publisher	Springer Verlag
Pages	67-78
Number of pages	12
ISBN (Print)	9783319393988
DOIs	https://doi.org/10.1007/978-3-319-39399-5_7
Publication status	Published - 2016
Externally published	Yes
Event	3rd International Conference on HCI in Business, Government, and Organizations, HCIBGO 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada Duration: 17 Jul 2016 → 22 Jul 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9752
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on HCI in Business, Government, and Organizations, HCIBGO 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016
Country/Territory	Canada
City	Toronto
Period	17/07/16 → 22/07/16

Access to Document

10.1007/978-3-319-39399-5_7

Cite this

McCreary, F., Zafiroglu, A., & Patterson, H. (2016). The contextual complexity of privacy in smart homes and smart buildings. In C.-H. Tan, & F. F.-H. Nah (Eds.), HCI in Business, Government, and Organizations: Information Systems - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings (pp. 67-78). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9752). Springer Verlag. https://doi.org/10.1007/978-3-319-39399-5_7

McCreary, Faith ; Zafiroglu, Alexandra ; Patterson, Heather. / The contextual complexity of privacy in smart homes and smart buildings. HCI in Business, Government, and Organizations: Information Systems - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings. editor / Chuan-Hoo Tan ; Fiona Fui-Hoon Nah. Springer Verlag, 2016. pp. 67-78 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "The contextual complexity of privacy in smart homes and smart buildings",

abstract = "Smart technologies allow unprecedented visibility into activities in homes and buildings, while they enable new services that householders and workers will value. As people become increasingly aware of the magnitude and potentially sensitive nature of the data being collected through these technologies, privacy is emerging as a potential barrier to user adoption. In this paper, we apply leading privacy models to the results of qualitative research in which we solicited ideas for adding intelligence to homes and buildings, paying particular attention to information sensitivity about everyday activities that take place in those settings. We identify locations and activities that are particularly information-sharing sensitive, prioritize the salience of different types of privacy violations for householders and workers, and examine the influence of privacy attitudes on smart device ownership and desired future smart experiences.",

keywords = "Contextual integrity, Design, Experience framework, Internet of things, Privacy, Social context, User research, UX strategy",

author = "Faith McCreary and Alexandra Zafiroglu and Heather Patterson",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 3rd International Conference on HCI in Business, Government, and Organizations, HCIBGO 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 ; Conference date: 17-07-2016 Through 22-07-2016",

year = "2016",

doi = "10.1007/978-3-319-39399-5_7",

language = "English",

isbn = "9783319393988",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

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booktitle = "HCI in Business, Government, and Organizations",

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}

McCreary, F, Zafiroglu, A & Patterson, H 2016, The contextual complexity of privacy in smart homes and smart buildings. in C-H Tan & FF-H Nah (eds), HCI in Business, Government, and Organizations: Information Systems - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9752, Springer Verlag, pp. 67-78, 3rd International Conference on HCI in Business, Government, and Organizations, HCIBGO 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016, Toronto, Canada, 17/07/16. https://doi.org/10.1007/978-3-319-39399-5_7

The contextual complexity of privacy in smart homes and smart buildings. / McCreary, Faith; Zafiroglu, Alexandra; Patterson, Heather.
HCI in Business, Government, and Organizations: Information Systems - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings. ed. / Chuan-Hoo Tan; Fiona Fui-Hoon Nah. Springer Verlag, 2016. p. 67-78 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9752).

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

TY - GEN

T1 - The contextual complexity of privacy in smart homes and smart buildings

AU - McCreary, Faith

AU - Zafiroglu, Alexandra

AU - Patterson, Heather

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Smart technologies allow unprecedented visibility into activities in homes and buildings, while they enable new services that householders and workers will value. As people become increasingly aware of the magnitude and potentially sensitive nature of the data being collected through these technologies, privacy is emerging as a potential barrier to user adoption. In this paper, we apply leading privacy models to the results of qualitative research in which we solicited ideas for adding intelligence to homes and buildings, paying particular attention to information sensitivity about everyday activities that take place in those settings. We identify locations and activities that are particularly information-sharing sensitive, prioritize the salience of different types of privacy violations for householders and workers, and examine the influence of privacy attitudes on smart device ownership and desired future smart experiences.

AB - Smart technologies allow unprecedented visibility into activities in homes and buildings, while they enable new services that householders and workers will value. As people become increasingly aware of the magnitude and potentially sensitive nature of the data being collected through these technologies, privacy is emerging as a potential barrier to user adoption. In this paper, we apply leading privacy models to the results of qualitative research in which we solicited ideas for adding intelligence to homes and buildings, paying particular attention to information sensitivity about everyday activities that take place in those settings. We identify locations and activities that are particularly information-sharing sensitive, prioritize the salience of different types of privacy violations for householders and workers, and examine the influence of privacy attitudes on smart device ownership and desired future smart experiences.

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KW - Design

KW - Experience framework

KW - Internet of things

KW - Privacy

KW - Social context

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - HCI in Business, Government, and Organizations

A2 - Tan, Chuan-Hoo

A2 - Nah, Fiona Fui-Hoon

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Y2 - 17 July 2016 through 22 July 2016

ER -

McCreary F, Zafiroglu A, Patterson H. The contextual complexity of privacy in smart homes and smart buildings. In Tan CH, Nah FFH, editors, HCI in Business, Government, and Organizations: Information Systems - 3rd International Conference, HCIBGO 2016 and Held as Part of HCI International 2016, Proceedings. Springer Verlag. 2016. p. 67-78. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-39399-5_7

The contextual complexity of privacy in smart homes and smart buildings

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