research-article

An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors

Authors:

Toby Jia-Jun LiAuthors Info & Claims

CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

Article No.: 234, Pages 1 - 28

https://doi.org/10.1145/3613904.3642363

Published: 11 May 2024 Publication History

Abstract

Managing privacy to reach privacy goals is challenging, as evidenced by the privacy attitude-behavior gap. Mitigating this discrepancy requires solutions that account for both system opaqueness and users’ hesitations in testing different privacy settings due to fears of unintended data exposure. We introduce an empathy-based approach that allows users to experience how privacy attributes may alter system outcomes in a risk-free sandbox environment from the perspective of artificially generated personas. To generate realistic personas, we introduce a novel pipeline that augments the outputs of large language models (e.g., GPT-4) using few-shot learning, contextualization, and chain of thoughts. Our empirical studies demonstrated the adequate quality of generated personas and highlighted the changes in privacy-related applications (e.g., online advertising) caused by different personas. Furthermore, users demonstrated cognitive and emotional empathy towards the personas when interacting with our sandbox. We offered design implications for downstream applications in improving user privacy literacy.

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Cited By

Prpa MTroiano GYao BLi TWang DGu HFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Challenges and Opportunities of LLM-Based Synthetic Personae and Data in HCICompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681826(716-719)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3681826

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An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors

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CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

May 2024

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ISBN:9798400703300

DOI:10.1145/3613904

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Florian Floyd Mueller
Monash University
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The Australian National University
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Julie R. Williamson
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Corina Sas
Lancaster University
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Max L. Wilson
University of Nottingham
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Phoebe Toups Dugas
Monash University/New Mexico State University
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University of Copenhagen

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Prpa MTroiano GYao BLi TWang DGu HFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Challenges and Opportunities of LLM-Based Synthetic Personae and Data in HCICompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681826(716-719)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3681826

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