Development and Evaluation of a Data Privacy Concept for a Frustration-Aware In-Vehicle System

Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS)Privacy by Design & User ControlAutomotive Manufacturers & Vehicle DesignersAutonomous Driving Engineers & Test Drivers

To realize frustration-aware in-vehicle systems based on real-time user monitoring, personal data have to be recorded, analyzed and (potentially) stored raising data privacy concerns that may reduce the user acceptance and hence the spread of such systems. Complementing the development of a frustration-aware system with voice interface in the project F-RELACS, a data privacy concept was created based on the principles privacy by design and privacy by default recommended in the European General Data Protection Regulation. Nine criteria were formulated and 23 concrete measures to satisfy the criteria were derived. The measures were evaluated in an online study with 96 participants between 18 and 74 years. On average, the measures were rated as rather sufficient to sufficient. Participants evaluated the use of commercial third-party software for speech processing as most critical. All results are discussed and proposals to further increase the acceptance of frustration-aware systems are outlined.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/auto_ui/62274/2021

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
AutoUI
calendar_month
Year
2021
emoji_events
Award
No award tagged
group
Authors
6 authors
sell
Subtopics
Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS), Privacy by Design & User Control
work
Professions
Automotive Manufacturers & Vehicle Designers, Autonomous Driving Engineers & Test Drivers
article
Content Status
Abstract only
hub
Related Papers
10 related papers