Implicit personalization in driving assistance: State-of-the-art and open issues

D Yi, J Su, L Hu, C Liu, M Quddus… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In recent decades, driving assistance systems have been evolving towards personalization
for adapting to different drivers. With the consideration of driving preferences and driver …

Research issues in smart vehicles and elderly drivers: a literature review

I Rhiu, S Kwon, S Bahn, MH Yun… - International Journal of …, 2015 - Taylor & Francis
This article reviewed both studies on general smart car technologies and human–computer
interaction (HCI)/human–vehicle interaction studies that were published in journals and …

Towards the Design of Context‐Aware Adaptive User Interfaces to Minimize Drivers' Distractions

I Khan, S Khusro - Mobile Information Systems, 2020 - Wiley Online Library
The usage of a smartphone while driving is a pervasive problem and has been
acknowledged as a significant source of road accidents and crashes. Several solutions have …

User interface design patterns for infotainment systems based on driver distraction: A Colombian case study

J Alarcón, I Balcázar, CA Collazos, H Luna, F Moreira - Sustainability, 2022 - mdpi.com
In this paper, we present a set of nine user interface design patterns for in-vehicle
infotainment systems centered on the content, interaction mode, style, shortcuts, and …

Volvo intelligent news: A context aware multi modal proactive recommender system for in-vehicle use

JI Árnason, J Jepsen, A Koudal, MR Schmidt… - Pervasive and Mobile …, 2014 - Elsevier
Keeping up to date with the world outside while driving is currently only possible through the
impersonal car radio or the distracting features of a smart phone. In-vehicle infotainment …

Adaptive transitions for automation in cars, trucks, buses and motorcycles

F Diederichs, A Knauss, M Wilbrink… - IET Intelligent …, 2020 - Wiley Online Library
Automated vehicles are entering the roads and automation is applied to cars, trucks, buses,
and even motorcycles today. High automation foresees transitions during driving in both …

Personalizing HMI elements in ADAS using ontology meta-models and rule based reasoning

Y Lilis, E Zidianakis, N Partarakis, M Antona… - Universal Access in …, 2017 - Springer
Abstract Advanced Driver Assistant systems (ADAS) are receiving increased research focus
as they promote a safer and more comfortable driving experience. In this context …

Vulnerability Analysis of an Automotive Infotainment System's WIFI Capability

EFM Josephlal, S Adepu - 2019 IEEE 19th International …, 2019 - ieeexplore.ieee.org
Automobiles of the current era are heavily computerized which makes them highly
susceptible to attacks that were unheard of with traditional automobiles. In the past with …

Study on the display positions for the haptic rotary device-based integrated in-vehicle infotainment interface

R Tian, L Li, VS Rajput, GJ Witt… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Integrated multimodal systems is one promising direction to improve human-vehicle
interaction. In order to create intelligent human-vehicle interfaces and reduce visual load …

Comparative Analysis of Ensemble Machine Learning Models for Personalized In-Vehicle Infotainment Recommendation Systems

J Ju, E Lee, SJ Park - Adjunct Proceedings of the 16th International …, 2024 - dl.acm.org
Despite significant advancements of recommendation systems across various applications,
recommendation systems within the automotive domain face a unique set of challenges and …