• Session No.72 Human-Machine Interface for Driver Assistance System I (OS)
  • May 24Room G40312:35-14:40
  • Chair: Yohei Michitsuji (Ibaraki University)
Contents
This session discusses how the human-machine interface for driver assistance systems should be from an ergonomic perspective. It also includes discussions on trust and dependence on assistance systems and the division of roles between drivers and assistant systems.
Committee
Vehicle Characteristics Design Committee, Active Safety Engineering Committee, Human Factor Committee, Driver Assessment Technologies Committee, Image Information Application Committee
Organizer
Takamitsu Tajima (Honda R&D), Tomoyuki Shino (Tokyo Institute of Technology), Hiroyuki Sakai (Toyota Central R&D Labs.), Kazumasa Onda (Suzuki Motor), Yohei Michitsuji (Ibaraki University), Ryuzo Hayashi (Tokyo University of Science), Toshihiro Hiraoka (JARI)
No. Title・Author (Affiliation)
330

Future Cockpit Solutions for Passenger Vehicles - Enhanced User Experience Design
-Scenic View Vizor Concept Combined with In2visible Surface-

Heinz Bernhard Abel・Jochen Möller・Andreas Brueninghaus・B. Leuchtenberg (Continental Automotive Technologies)

Future cockpits in passenger vehicles contain large area displays. The Scenic View Visor offers a minimalistic cockpit design with a spectacular viewing experience. This provides virtual images with high contrast, independent from the windshield. Additionally, a mechanical integration for different car lines is possible. The Visor has a special coating material with high reflectivity. Multiple matrix backlight LCD displays with local dimming function are integrated below the Cockpit surface. The Visor concept is combined with a large In2visible area including multitouch function for simple operation. Details on the human machine interaction concept for a valuable User Experience will be presented.

331

A Study on Information Provision from Automated Vehicles to Pedestrians at Unsignalized Pedestrian Crossing

Shunichi Wada・Sho Takahashi・Toru Hagiwara (Hokkaido University)

We proposed an e-HMI system that uses pedestrians' eye movement to communicate with automated vehicles at unsignalized pedestrian crossings, and verified its effectiveness. Using a driving simulator in a virtual space, we conducted an experiment to verify the effectiveness of e-HMI with 36 participants in their 20s to 50s. The results showed that the e-HMI enabled pedestrians to cross the street safely and smoothly.

332

Evaluation of Visual Alerts on a Head-Up Display that Assist in Predicting Driving Risk

Michiya Terao・Shinya Okamoto・Hisato Fukuda (Gunma University)・Toshihiko Kozai・Tsutomu Iwase (Gunma University/SUBARU)・Tsukasa Mikuni・Norihito Machida・Ikuo Goto (SUBARU)

This study investigated the effect of indication strengths of visual alerts on a head-up display that assists in predicting driving risk, with a focus on understanding their effects on drivers. We conducted a sensory evaluation experiment specifically examining the indication of a head-up display, specifically focusing on scenarios involving the passing of parked vehicles. As a result of a sensory evaluation experiment in a simulator with 16 participants, significant differences were found in both sensory assessment and vehicle control log, evaluating the effect of indication strengths.

333

Effect of Driver-Led Control Transition with a Take-Over Recommendation on Driver Takeover Performance in Conditional Driving Automation

Yuichi Saito・Yusaku Ichinose (University of Tsukuba)・Toshihisa Sato (AIST)・Makoto Itoh (University of Tsukuba)

This study proposes a take-over recommendation with verbal messages to guide driver-led control transition under conditional driving automation. Based on driver behavior data obtained from a driving simulator experiment with 39 participants, this paper presents the effect of driver-led control transition with a take-over recommendation on improving performance after taking over the driving in a case of obstacle avoidance.

334

Assessing Driver Engagement in Assisted Driving
-Insights from Pilot Evaluation and Focus Groups-

Francesco Deiana・James Jackson・Elena Castro Gonzalez・Cristina Periago Linares (IDIADA Automotive Technology)

In this study, we present a methodology to assess driver engagement during assisted driving scenarios. The initial phase involved a pilot evaluation with 39 naive drivers experiencing different assisted driving concepts, employing subjective and objective metrics to evaluate the progressive impact of system use in driver engagement. Participants drove on a track with active assistance functions, including a critical "cut-out" scenario. Following this, an extended phase incorporated focus groups, providing broader insights into driver-technology interaction. Findings suggest varied perceptions among age groups, with a consensus on the need for widespread education regarding these systems for effective adaptation.

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