Start Date
10-5-2019 10:15 AM
End Date
10-5-2019 11:30 AM
Document Type
Event
Description
As the deployment and availability of robots grow rapidly, and spreads everywhere to reach places where they can communicate with humans, numerous new beneFlorida Institute of Technologys and services can be provided, but at the same time, various types of privacy issues appear. Indeed, the use of robots that process data remotely causes privacy concerns. There are some main factors that could increase the capability of violating users’ privacy. Here we analyze these factors and propose solutions that assist in mitigating the problem of privacy violation while using social robots. These solutions assist in solving the limitations of current robots and in producing privacy-sensitive robots. The result consists in usable, trusted, and comfortable techniques to bring security in the context of social robot utilization, to protect users’ privacy in the presence of social robots, to increase users’ awareness towards associated privacy risks, and to find trade-offs between privacy loss and utility achieved. The aim is to increase the user confidence in the privacy guarantees made available by the robots. The results are verified with surveys and experiments.
DOI
https://doi.org/10.5038/ZIFZ3582
Increasing User Confidence in Privacy-Sensitive Robots
As the deployment and availability of robots grow rapidly, and spreads everywhere to reach places where they can communicate with humans, numerous new beneFlorida Institute of Technologys and services can be provided, but at the same time, various types of privacy issues appear. Indeed, the use of robots that process data remotely causes privacy concerns. There are some main factors that could increase the capability of violating users’ privacy. Here we analyze these factors and propose solutions that assist in mitigating the problem of privacy violation while using social robots. These solutions assist in solving the limitations of current robots and in producing privacy-sensitive robots. The result consists in usable, trusted, and comfortable techniques to bring security in the context of social robot utilization, to protect users’ privacy in the presence of social robots, to increase users’ awareness towards associated privacy risks, and to find trade-offs between privacy loss and utility achieved. The aim is to increase the user confidence in the privacy guarantees made available by the robots. The results are verified with surveys and experiments.