Privacy–Accuracy Consideration in Devices That Collect Sensor-Based Information

Privacy–Accuracy Consideration in Devices That Collect Sensor-Based Information

Accurately tailored support such as advice or assistance can increase user satisfaction from interactions with smart devices; however, in order to achieve high accuracy, the device must obtain and exploit private user data and thus confidential user information might be jeopardized. We provide an an...

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Bibliographic Details
Main Authors: Lihi Dery, Artyom Jelnov
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
user–device interaction
privacy
smart devices
sensor-based information
privacy–accuracy trade-off
Online Access:https://www.mdpi.com/1424-8220/21/14/4684
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spelling doaj-e6dc5098e30341fe8382be708d4581062021-07-23T14:05:19ZengMDPI AGSensors1424-82202021-07-01214684468410.3390/s21144684Privacy–Accuracy Consideration in Devices That Collect Sensor-Based InformationLihi Dery0Artyom Jelnov1Department of Industrial Engineering and Management, Ariel University, Ariel 40700, IsraelEconomics and Business, Ariel University, Ariel 40700, IsraelAccurately tailored support such as advice or assistance can increase user satisfaction from interactions with smart devices; however, in order to achieve high accuracy, the device must obtain and exploit private user data and thus confidential user information might be jeopardized. We provide an analysis of this privacy–accuracy trade-off. We assume two positive correlations: a user’s utility from a device is positively correlated with the user’s privacy risk and also with the quality of the advice or assistance offered by the device. The extent of the privacy risk is unknown to the user. Thus, privacy concerned users might choose not to interact with devices they deem as unsafe. We suggest that at the first period of usage, the device should choose not to employ the full capability of its advice or assistance capabilities, since this may intimidate users from adopting it. Using three analytical propositions, we further offer an optimal policy for smart device exploitation of private data for the purpose of interactions with users.https://www.mdpi.com/1424-8220/21/14/4684user–device interactionprivacysmart devicessensor-based informationprivacy–accuracy trade-off
collection DOAJ
language English
format Article
sources DOAJ
author Lihi Dery
Artyom Jelnov
spellingShingle Lihi Dery
Artyom Jelnov
Privacy–Accuracy Consideration in Devices That Collect Sensor-Based Information
Sensors
user–device interaction
privacy
smart devices
sensor-based information
privacy–accuracy trade-off
author_facet Lihi Dery
Artyom Jelnov
author_sort Lihi Dery
title Privacy–Accuracy Consideration in Devices That Collect Sensor-Based Information
title_short Privacy–Accuracy Consideration in Devices That Collect Sensor-Based Information
title_full Privacy–Accuracy Consideration in Devices That Collect Sensor-Based Information
title_fullStr Privacy–Accuracy Consideration in Devices That Collect Sensor-Based Information
title_full_unstemmed Privacy–Accuracy Consideration in Devices That Collect Sensor-Based Information
title_sort privacy–accuracy consideration in devices that collect sensor-based information
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2021-07-01
description Accurately tailored support such as advice or assistance can increase user satisfaction from interactions with smart devices; however, in order to achieve high accuracy, the device must obtain and exploit private user data and thus confidential user information might be jeopardized. We provide an analysis of this privacy–accuracy trade-off. We assume two positive correlations: a user’s utility from a device is positively correlated with the user’s privacy risk and also with the quality of the advice or assistance offered by the device. The extent of the privacy risk is unknown to the user. Thus, privacy concerned users might choose not to interact with devices they deem as unsafe. We suggest that at the first period of usage, the device should choose not to employ the full capability of its advice or assistance capabilities, since this may intimidate users from adopting it. Using three analytical propositions, we further offer an optimal policy for smart device exploitation of private data for the purpose of interactions with users.
topic user–device interaction
privacy
smart devices
sensor-based information
privacy–accuracy trade-off
url https://www.mdpi.com/1424-8220/21/14/4684
work_keys_str_mv AT lihidery privacyaccuracyconsiderationindevicesthatcollectsensorbasedinformation
AT artyomjelnov privacyaccuracyconsiderationindevicesthatcollectsensorbasedinformation
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