Confidant: A Privacy Controller for Social Robots

Tang, Brian; Sullivan, Dakota; Cagiltay, Bengisu; Chandrasekaran, Varun; Fawaz, Kassem; Mutlu, Bilge

doi:10.1109/hri53351.2022.9889540

Cited by 12 publications

(3 citation statements)

References 58 publications

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“…Some researchers started investigating social privacy expectations and concerns related to social robots (Heuer et al, 2019;Lutz et al, 2019;Lutz and Tamó-Larrieux, 2020;Hannibal et al, 2022) as well as possibilities of privacy-aware robot operation (Rueben et al, 2018). Others have emphasized the importance of understanding social robots in their role as carrier of personal information between humans, like the robot as confidant (Tang et al, 2022) or mediator (Dietrich, 2019;Dietrich and Weisswange, 2022). Tang et al (2022) proposed an architecture for social robots to learn privacy-sensitive behaviors to be able to make decisions about personal information disclosure in conversations.…”

Section: Related Workmentioning

confidence: 99%

“…Others have emphasized the importance of understanding social robots in their role as carrier of personal information between humans, like the robot as confidant (Tang et al, 2022) or mediator (Dietrich, 2019;Dietrich and Weisswange, 2022). Tang et al (2022) proposed an architecture for social robots to learn privacy-sensitive behaviors to be able to make decisions about personal information disclosure in conversations. The architecture took inspiration from communication privacy management theory (Petronio, 2002;Petronio, 2010).…”

Section: Related Workmentioning

confidence: 99%

“…Prior research has shown that multiple factors can influence people's privacy expectations (Dinev et al, 2013). For robot mediation scenarios, we expect that the nature of the relationship between people (Luria et al, 2020;Tang et al, 2022) and the type of personal information have a major impact on what people consider as appropriate. For the type of information, the sensitivity was expected to influence judgements on appropriate usage and disclosure (Malhotra et al, 2004;Dinev et al, 2013).…”

Section: Hypothesesmentioning

confidence: 99%

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What should a robot disclose about me? A study about privacy-appropriate behaviors for social robots

Dietrich,

Krüger,

Weisswange

2023

Front. Robot. AI

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For robots to become integrated into our daily environment, they must be designed to gain sufficient trust of both users and bystanders. This is in particular important for social robots including those that assume the role of a mediator, working towards positively shaping relationships and interactions between individuals. One crucial factor influencing trust is the appropriate handling of personal information. Previous research on privacy has focused on data collection, secure storage, and abstract third-party disclosure risks. However, robot mediators may face situations where the disclosure of private information about one person to another specific person appears necessary. It is not clear if, how, and to what extent robots should share private information between people. This study presents an online investigation into appropriate robotic disclosure strategies. Using a vignette design, participants were presented with written descriptions of situations where a social robot reveals personal information about its owner to support pro-social human-human interaction. Participants were asked to choose the most appropriate robot behaviors, which differed in the level of information disclosure. We aimed to explore the effects of disclosure context, such as the relationship to the other person and the information content. The findings indicate that both the information content and relationship configurations significantly influence the perception of appropriate behavior but are not the sole determinants of disclosure-adequacy perception. The results also suggest that expected benefits of disclosure and individual general privacy attitudes serve as additional influential factors. These insights can inform the design of future mediating robots, enabling them to make more privacy-appropriate decisions which could foster trust and acceptance.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Hypothesesmentioning

confidence: 99%

See 1 more Smart Citation

What should a robot disclose about me? A study about privacy-appropriate behaviors for social robots

Dietrich,

Krüger,

Weisswange

2023

Front. Robot. AI

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Survey of Recent Results in Privacy-Preserving Mechanisms for Multi-Agent Systems

Kossek,

Stefanovic

2024

J Intell Robot Syst

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Privacy-preserving communication in cooperative control is essential for effective operations of various systems where sensitive information needs to be protected. This includes systems such as smart grids, traffic management systems, autonomous vehicle networks, healthcare systems, financial networks, and social networks. Recent privacy-preserving cooperative control literature is categorized and discussed in this paper. Advantages and disadvantages of differential privacy and encryption-based privacy-preserving protocols are described. The objective of this work is to examine and analyze existing research and knowledge related to the preservation of privacy in the context of cooperative control. This paper aims to identify and present a range of approaches, techniques, and methodologies that have been proposed or employed to address privacy concerns in multi-agent systems. It seeks to explore the current challenges, limitations, and gaps in the existing literature. It also aims to consolidate the findings from various studies to provide an overview of privacy-preserving cooperative control in multi-agent systems. The goal is to assist in the development of novel privacy-preserving mechanisms for cooperative control.

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Is the Robot Spying on me? A Study on Perceived Privacy in Telepresence Scenarios in a Care Setting with Mobile and Humanoid Robots

Nieto Agraz,

Hinrichs,

Eichelberg

et al. 2024

Int J of Soc Robotics

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The number of robots that are in use worldwide is increasing, and they are starting to be used in new areas, where a use of robotics was impossible in the past, such as nursing care. This brings about new challenges that need to be addressed, one of them is the challenge of privacy preservation. Privacy in robotics is still a very new field that has not been studied deeply yet, even though some studies show that it is a crucial factor. In this article, we investigate how users feel about their privacy when interacting in a telepresence scenario with three different technical means: a laptop computer with a built-in camera, the mobile robot Temi and the humanoid robot Ameca. Behaviors from human interaction were implemented for the humanoid robot, which are not aimed directly at deactivating the sensors, but symbolize this deactivation. We conducted a user study with 21 participants. We did not find out any statistical significant difference between the elements, which shows that the robotic solutions are also popular and people feel comfortable around them. In addition, we also found out that the best way for a humanoid robot to indicate privacy to the participants is to perform actions where it closes the eyes and gives a sense of deactivation. Lastly, the results show that even though the acceptance of a humanoid robot is quite good, further work is needed to increase the control feeling in order to increase the trust of the user over it.

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Confidant: A Privacy Controller for Social Robots

Cited by 12 publications

References 58 publications

What should a robot disclose about me? A study about privacy-appropriate behaviors for social robots

What should a robot disclose about me? A study about privacy-appropriate behaviors for social robots

Survey of Recent Results in Privacy-Preserving Mechanisms for Multi-Agent Systems

Is the Robot Spying on me? A Study on Perceived Privacy in Telepresence Scenarios in a Care Setting with Mobile and Humanoid Robots

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