To Beep or Not to Beep - Comparing Abstract versus Language-Based Multimodal Driver Displays
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore a comparative study on abstract versus language-based multimodal driver displays in this 23-minute conference talk from the ACM Conference on Human Factors in Computing Systems. Delve into the effectiveness of different types of driver warnings, including audio, visual, and tactile modalities. Examine the novel concept of Speech Tactons and their potential as tactile warnings synchronized with speech. Discover key findings on recognition times during non-critical driving situations and response times in critical scenarios. Learn about the advantages of abstract visual feedback for non-critical situations and audio warnings for highly critical events. Gain insights into the performance of language-based warnings compared to abstract ones in critical situations, and understand their potential as less annoying vehicle alerts.
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
Related Courses
Provably Beneficial Artificial IntelligenceAssociation for Computing Machinery (ACM) via YouTube Building Dusty Robotics
Association for Computing Machinery (ACM) via YouTube More Human HCI
Association for Computing Machinery (ACM) via YouTube Ultrasound-Driven Curveball in Table Tennis - Human Activity Support via Noncontact Remote Object Manipulation
Association for Computing Machinery (ACM) via YouTube Human-Centered AI for Sustainability - Case Social Robots
Association for Computing Machinery (ACM) via YouTube