To Beep or Not to Beep - Comparing Abstract versus Language-Based Multimodal Driver Displays
Association for Computing Machinery (ACM) via YouTube
Overview
This course compares abstract versus language-based multimodal driver displays to determine their effectiveness in conveying warnings to drivers. The learning outcomes include understanding the differences between these two types of displays and knowing when to use abstract visual feedback versus audio alerts based on the driving situation. The course teaches skills in analyzing warning recognition times, response times, and driving behavior based on different modalities. The teaching method involves presenting research findings from experiments comparing various warning types. The intended audience for this course includes researchers, designers, and developers working on driver assistance systems or human-computer interaction in the automotive industry.
Syllabus
Introduction
Motivation
Prior Work
Urgency
Objective Measures
Abstract
LanguageBased
Modalities
Setup
Button Response
Results
Urgent cues
Abstract vs Language
Higher Criticality
Driving Test Results
Steering Behavior
Visual Intention
Critical Task
Performance
Future Work
Recommendation
Taught by
ACM SIGCHI