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research-article

Automated privacy negotiations with preference uncertainty

Authors:

Dorota Filipczuk,

Enrico H. Gerding,

m. c. schraefelAuthors Info & Claims

Autonomous Agents and Multi-Agent Systems, Volume 36, Issue 2

https://doi.org/10.1007/s10458-022-09579-1

Published: 01 October 2022 Publication History

Abstract

Many service providers require permissions to access privacy-sensitive data that are not necessary for their core functionality. To support users’ privacy management, we propose a novel agent-based negotiation framework to negotiate privacy permissions between users and service providers using a new multi-issue alternating-offer protocol based on exchanges of partial and complete offers. Additionally, we introduce a novel approach to learning users’ preferences in negotiation and present two variants of this approach: one variant personalised to each individual user, and one personalised depending on the user’s privacy type. To evaluate them, we perform a user study with participants, using an experimental tool installed on the participants’ mobile devices. We compare the take-it-or-leave-it approach, in which users are required to accept all permissions requested by a service, to negotiation, which respects their preferences. Our results show that users share personal data 2.5 times more often when they are able to negotiate while maintaining the same level of decision regret. Moreover, negotiation can be less mentally demanding than the take-it-or-leave-it approach and it allows users to align their privacy choices with their preferences. Finally, our findings provide insight into users’ data sharing strategies to guide the future of automated and negotiable privacy management mechanisms.

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Automated privacy negotiations with preference uncertainty

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International Automated Negotiating Agents Competition (ANAC) was held in conjunction with International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS). This competition brings together researchers from the negotiation community ...
Automated formal analysis of human multi-issue negotiation processes

This paper reports on experiments in (human) multi-issue negotiation and their analysis, and presents a generic software environment supporting such an analysis. First, the paper presents a System for Analysis of Multi-Issue Negotiation (SAMIN). SAMIN ...

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Information & Contributors

Information

Published In

cover image Autonomous Agents and Multi-Agent Systems

Autonomous Agents and Multi-Agent Systems Volume 36, Issue 2

Oct 2022

919 pages

ISSN:1387-2532

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© The Author(s) 2022.

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Kluwer Academic Publishers

United States

Publication History

Published: 01 October 2022

Accepted: 27 July 2022

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Engineering and Physical Sciences Research Council

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Cited By

Zhou HGoel MAgarwal Y(2024)Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing DevicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642897(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642897
Shafipour EStein SAhipasaoglu S(2024)Personalised electric vehicle charging stop planning through online estimatorsAutonomous Agents and Multi-Agent Systems10.1007/s10458-024-09671-838:2Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s10458-024-09671-8
Stein SYazdanpanah VAgmon NAn BRicci AYeoh W(2023)Citizen-Centric Multiagent SystemsProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems10.5555/3545946.3598843(1802-1807)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.5555/3545946.3598843

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