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Is Now A Good Time? An Empirical Study of Vehicle-Driver Communication Timing

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM SIGCHI Courses Machine Learning Courses Quantitative Analysis Courses Qualitative Analysis Courses

Course Description

Overview

Explore an empirical study on vehicle-driver communication timing presented at the ACM CHI Conference on Human Factors in Computing Systems. Delve into the research conducted by Rob Semmens, Nikolas Martelaro, Pushyami Kaveti, Simon Stent, and Wendy Ju, examining the optimal moments for in-vehicle systems to interact with drivers. Learn about the methodology involving 63 drivers and 2,734 responses, analyzing automotive and video data to determine appropriate interruption times. Discover insights on designing systems that minimize risks while maximizing interaction opportunities, considering factors such as merging into traffic and wrong turns. Gain understanding of machine learning applications in predicting suitable communication timing and the overall performance of the study's findings. Conclude with a summary and question session, enhancing your knowledge of human-computer interaction in automotive contexts.

Syllabus

Introduction
What we did
Environment
Data Collection
Results
Is Now A Good Time
No Merging Into Traffic
Wrong Turns
The Results
Overall Results
Words Used
Individual Responses
Machine Learning
Overall Performance
Summary
Question


Taught by

ACM SIGCHI

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