Intelligent in-vehicle interaction technologies

Murali, P. K. , Kaboli, M. and Dahiya, R. (2022) Intelligent in-vehicle interaction technologies. Advanced Intelligent Systems, 4(2), 2100122. (doi: 10.1002/aisy.202100122)

Abstract

With rapid advances in the field of autonomous vehicles (AVs), the ways in which human–vehicle interaction (HVI) will take place inside the vehicle have attracted major interest and, as a result, intelligent interiors are being explored to improve the user experience, acceptance, and trust. This is also fueled by parallel research in areas such as perception and control of robots, safe human–robot interaction, wearable systems, and the underpinning flexible/printed electronics technologies. Some of these are being routed to AVs. Growing number of network of sensors are being integrated into the vehicles for multimodal interaction to draw correct inferences of the communicative cues from the user and to vary the interaction dynamics depending on the cognitive state of the user and contextual driving scenario. In response to this growing trend, this timely article presents a comprehensive review of the technologies that are being used or developed to perceive user's intentions for natural and intuitive in-vehicle interaction. The challenges that are needed to be overcome to attain truly interactive AVs and their potential solutions are discussed along with various new avenues for future research.

• Item Type: Articles
• Additional Information: This work was supported in part by the European Commission via iNavigate (Grant agreement ID: 873178), SmartNets (Grant agreement ID: 860949), and Intuitive (Grant agreement ID: 861166).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Dahiya, Professor Ravinder and Murali, Prajval Kumar
• Authors: Murali, P. K., Kaboli, M., and Dahiya, R.
• College/School: College of Science and Engineering; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Journal Name: Advanced Intelligent Systems
• Publisher: Wiley
• ISSN: 2640-4567
• ISSN (Online): 2640-4567
• Published Online: 03 October 2021
• Copyright Holders: Copyright © 2021 The Authors
• First Published: First published in Advanced Intelligent Systems 4(2): 2100122
• Publisher Policy: Reproduced under a Creative Commons License

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
306720		INnovative Network for Training in ToUch InteracTIVE Interfaces	Ravinder Dahiya	European Commission (EC)	861166	ENG - Electronics & Nanoscale Engineering