Ghiglieri, M., Volkamer, M. and Renaud, K. (2017) Exploring Consumers’ Attitudes of Smart TV Related Privacy Risks. In: International Conference on Human-Computer Interaction, Vancouver, Canada, 9-14 July 2017, pp. 656-674. (doi: 10.1007/978-3-319-58460-7_45)
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Abstract
A number of privacy risks are inherent in the Smart TV ecosystem. It is likely that many consumers are unaware of these privacy risks. Alternatively, they might be aware but consider the privacy risks acceptable. In order to explore this, we carried out an online survey with 200 participants to determine whether consumers were aware of Smart TV related privacy risks. The responses revealed a meagre level of awareness. We also explored consumers’ attitudes towards specific Smart TV related privacy risks. We isolated a number of factors that influenced rankings and used these to develop awareness-raising messages. We tested these messages in an online survey with 155 participants. The main finding was that participants were generally unwilling to disconnect their Smart TVs from the Internet because they valued the Smart TV’s Internet functionality more than their privacy. We subsequently evaluated the awareness-raising messages in a second survey with 169 participants, framing the question differently. We asked participants to choose between five different Smart TV Internet connection options, two of which retained functionality but entailed expending time and/or effort to preserve privacy.
Item Type: | Conference Proceedings |
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Additional Information: | Published in Lecture Notes In Computer Science 10292:656-674. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 653454. It has also been supported by the German Federal Ministry of Education and Research (BMBF) within the project MoPPa (16KIS0343) and by the German Federal Ministry of Education and Research (BMBF) as well as by the Hessen State Ministry for Higher Education, Research and the Arts within CRISP. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Renaud, Professor Karen |
Authors: | Ghiglieri, M., Volkamer, M., and Renaud, K. |
College/School: | College of Science and Engineering > School of Computing Science |
ISSN: | 0302-9743 |
Published Online: | 13 May 2017 |
Copyright Holders: | Copyright © 2017 Springer International Publishing AG 2 |
First Published: | First published in Lecture Notes in Computer Science 10292:656-674 |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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