Eliciting Values Reflections by Engaging Privacy Futures Using Design Workbooks

Wong, Richmond Y.; Mulligan, Deirdre K.; Wyk, Ellen Van; Pierce, James; Chuang, John

doi:10.1145/3134746

Cited by 81 publications

(37 citation statements)

References 49 publications

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“…First, any application that entails the collection and display of personal data should prioritize the agency of users to preserve their own privacy and to choose how and with whom their biosignals are shared. People may have concerns about the intrusiveness of this intimate and sensitive data [49,50]; thus, we need to understand the privacy controls that are necessary for this type of data [71]. In the present work, for example, we explicitly state that Jared agreed to share his heart rate data with participants.…”

Section: Implications For Technologymentioning

confidence: 99%

The Effect of Expressive Biosignals on Empathy and Closeness for a Stigmatized Group Member

Liu

Kaufman

Dabbish

2019

Proc. ACM Hum.-Comput. Interact.

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We explore the potential for expressive biosignals, or displays of sensed physiological data as social cues, to influence perceptions of a member of a stigmatized group. In a between-subjects experiment (N=62) participants read a fictional interview with a drug addict in prison, and rated their empathy and closeness with the interviewee. Participants were randomly assigned to read either 1) the transcript of the interview by itself, 2) the transcript with a text description of the interviewee's heart rate, or 3) the transcript with a graph of the interviewee's heart rate. Results demonstrate that providing information about heart rate can increase empathy in terms of emotional perspective-taking. Additionally, visualizing the heart rate as a graph, as opposed to text, can increase closeness. We discuss the implications of these results and present suggestions for future directions. CCS Concepts: • Human-centered computing → Empirical studies in HCI; Empirical studies in collaborative and social computing.

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Section: Implications For Technologymentioning

confidence: 99%

The Effect of Expressive Biosignals on Empathy and Closeness for a Stigmatized Group Member

Liu

Kaufman

Dabbish

2019

Proc. ACM Hum.-Comput. Interact.

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“…One approach to do this uses design as the method of inquiry to understand people and situations. Design activities may be used to engage stakeholders; designers, researchers, and stakeholders create or discuss design concepts together to understand stakeholders' experiences and concerns about privacy [67,80,121]. Relatedly, technology probes or conceptual design artifacts can be shared with stakeholders to understand how privacy arises in the context of their daily activities [95,114].…”

Section: Purpose: How Privacy Is Addressed By Designmentioning

confidence: 99%

Bringing Design to the Privacy Table

Wong

Mulligan

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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In calls for privacy by design (PBD), regulators and privacy scholars have investigated the richness of the concept of "privacy." In contrast, "design" in HCI is comprised of rich and complex concepts and practices, but has received much less attention in the PBD context. Conducting a literature review of HCI publications discussing privacy and design, this paper articulates a set of dimensions along which design relates to privacy, including: the purpose of design, which actors do design work in these settings, and the envisioned beneficiaries of design work. We suggest new roles for HCI and design in PBD research and practice: utilizing valuesand critically-oriented design approaches to foreground social values and help define privacy problem spaces. We argue such approaches, in addition to current "design to solve privacy problems" efforts, are essential to the full realization of PBD, while noting the politics involved when choosing design to address privacy. CCS CONCEPTS • Security and privacy → Human and societal aspects of security and privacy; • Social and professional topics → Computing / technology policy; • Human-centered computing → HCI design and evaluation methods.

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“…We used qualitative methods to analyse the answers to the open ended question using two independent coders. We followed the grounded theory approach where the coders coded data by eliciting codes from the data available without any prejudice [23]. This was done in NVivo [24].…”

Section: Discussionmentioning

confidence: 99%

A Model for System Developers to Measure the Privacy Risk of Data

Senarath¹,

Grobler²,

Arachchilage³

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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In this paper, we propose a model that could be used by system developers to measure the privacy risk perceived by users when they disclose data into software systems. We first derive a model to measure the perceived privacy risk based on existing knowledge and then we test our model through a survey with 151 participants. Our findings revealed that users' perceived privacy risk monotonically increases with data sensitivity and visibility, and monotonically decreases with data relevance to the application. Furthermore, how visible data is in an application by default when the user discloses data had the highest impact on the perceived privacy risk. This model would enable developers to measure the users' perceived privacy risk associated with data items, which would help them to understand how to treat different data within a system design.

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Eliciting Values Reflections by Engaging Privacy Futures Using Design Workbooks

Cited by 81 publications

References 49 publications

The Effect of Expressive Biosignals on Empathy and Closeness for a Stigmatized Group Member

The Effect of Expressive Biosignals on Empathy and Closeness for a Stigmatized Group Member

Bringing Design to the Privacy Table

A Model for System Developers to Measure the Privacy Risk of Data

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