Embodiment, Privacy and Social Robots: May I Remember You?

Tonkin, Meg; Vitale, Jonathan; Ojha, Suman; Clark, Jesse N.; Pfeiffer, Sammy; Judge, William Q.; Wang, Xun; Williams, Mary-Anne

doi:10.1007/978-3-319-70022-9_50

Cited by 10 publications

(3 citation statements)

References 16 publications

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“…The robot then provided information on how the face recognition system works and the employed privacy policies. This step was crucial for adhering to current privacy legislation and to enhance the user experience, as evidenced from our previous studies [11], [12]. Following this, the robot provided details on how QR code access worked.…”

Section: A On-site Robot Registrationmentioning

confidence: 94%

“…As robotic technology and platforms continue to develop in complexity, function and scale, it is vital that responsible methods for data collection that protect privacy and preserve fairness, are developed [10], [11], [12]. Article 12 in the United Nation's Universal Declaration of Human Rights (UDHR) details the Right to Privacy of all people [13].…”

Section: Robots As Shared Resources: Privacy Transparency and Trustmentioning

confidence: 99%

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Privacy First: Designing Responsible and Inclusive Social Robot Applications for in the Wild Studies

Tonkin

Vitale

Herse

et al. 2019

2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

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Deploying social robots applications in public spaces for conducting in the wild studies is a significant challenge but critical to the advancement of social robotics.Real world environments are complex, dynamic, and uncertain. Human-Robot interactions can be unstructured and unanticipated. In addition, when the robot is intended to be a shared public resource, management issues such as user access and user privacy arise, leading to design choices that can impact on users' trust and the adoption of the designed system. In this paper we propose a user registration and login system for a social robot and report on people's preferences when registering their personal details with the robot to access services. This study is the first iteration of a larger body of work investigating potential use cases for the Pepper social robot at a government managed centre for startups and innovation. We prototyped and deployed a system for user registration with the robot, which gives users control over registering and accessing services with either face recognition technology or a QR code. The QR code played a critical role in increasing the number of users adopting the technology. We discuss the need to develop social robot applications that responsibly adhere to privacy principles, are inclusive, and cater for a broad spectrum of people.

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Section: A On-site Robot Registrationmentioning

confidence: 94%

Section: Robots As Shared Resources: Privacy Transparency and Trustmentioning

confidence: 99%

Privacy First: Designing Responsible and Inclusive Social Robot Applications for in the Wild Studies

Tonkin

Vitale

Herse

et al. 2019

2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Similarly, users may be biased into thinking that their privacy is more protected than it really is. Indeed, preliminary results by Tonkin et al [61] showed that embodied systems (i.e., having a more anthropomorphic physical form) tend to decrease customer privacy concerns compared to non-embodied ones, which means that embodied robots might collect more data than a non-embodied one. There are laws in place that regulate data collection and protect individuals, such as the General Data Protection Regulation (GDPR) in the European Union [34].…”

Section: H4mentioning

confidence: 99%

How Ethical Issues Raised by Human–Robot Interaction can Impact the Intention to use the Robot?

Etemad‐Sajadi

Soussan

Schöpfer

2022

Int J of Soc Robotics

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The goal of this research is to focus on the ethical issues linked to the interaction between humans and robots in a service delivery context. Through this user study, we want to see how ethics influence user’s intention to use a robot in a frontline service context. We want to observe the importance of each ethical attribute on user’s intention to use the robot in the future. To achieve this goal, we incorporated a video that showed Pepper, the robot, in action. Then respondents had to answer questions about their perception of robots based on the video. Based on a final sample of 341 respondents, we used structural equation modeling (SEM) to test our hypotheses. The results show that the most important ethical issue is the Replacement and its implications for labor. When we look at the impact of the ethical issues on the intention to use, we discovered that the variables impacting the most are Social cues, Trust and Safety.

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An in-the-wild study to find type of questions people ask to a social robot providing question-answering service

Raza

Vitale

Tonkin

et al. 2022

Intel Serv Robotics

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The role of a human assistant, such as receptionist, is to provide specific information to the public. Questions asked by the public are often context dependent and related to the environment where the assistant is situated. Should similar behaviour and questions be expected when a social robot offers the same assistant service to visitors? Would it be sufficient for the robot to answer only service-specific questions, or is it necessary to design the robot to answer more general questions? This paper aims to answer these research questions by investigating the question-asking behaviour of the public when interacting with a question-answering social robot. We conducted the study at a university event that was open to the public. Results demonstrate that almost no participants asked context-specific questions to the robot. Rather, unrelated questions were common and included queries about the robot’s personal preferences, opinions, thoughts and emotional state. This finding contradicts popular belief and common sense expectations from what is otherwise observed during similar human–human interactions. In addition, we found that incorporating non-context-specific questions in a robot’s database increases the success rate of its question-answering system.

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Embodiment, Privacy and Social Robots: May I Remember You?

Cited by 10 publications

References 16 publications

Privacy First: Designing Responsible and Inclusive Social Robot Applications for in the Wild Studies

Privacy First: Designing Responsible and Inclusive Social Robot Applications for in the Wild Studies

How Ethical Issues Raised by Human–Robot Interaction can Impact the Intention to use the Robot?

An in-the-wild study to find type of questions people ask to a social robot providing question-answering service

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