Mental Workload of Voice Interactions with 6 Real-World Driver Interfaces
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Abstract
PROCEEDINGS of the Eighth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design MENTAL WORKLOAD OF VOICE INTERACTIONS WITH 6 REAL-WORLD DRIVER INTERFACES Joel M. Cooper1 & David L. Strayer2 Precision Driving Research1 University of Utah2 Salt Lake City, Utah, USA joel.cpr@gmail.com Summary: Hands-free voice interaction is an increasingly common option in new vehicles. Recent research suggests that hands-free interactions with speech-to-text systems m
Summary
HFES conference proceedings report (Aspire Conference) documenting N-back temporal instability findings. Two-experiment study showing N-back performance improvement and workload decrease over 26+ on-road driving sessions. Experiment 1: 10 participants with 26+ exposures show systematic accuracy increases and cognitive demand decreases. Experiment 2: Old vs New digit sequences tested with 20 participants; equivalent performance confirms strategy-based improvement.
Key finding
N-back accuracy and DRT-based workload measures show systematic drift over repeated on-road sessions, with improvements attributable to general strategy acquisition (subvocal rehearsal, automatization) rather than sequence-specific learning.
Methodology
Exp 1: 10 participants, repeated measures across 6 sessions from 26 total. Exp 2: 20 participants, Old/New sequence comparison. On-road driving paradigm with DRT and NASA-TLX measures.
Sample size: Exp 1: N=10; Exp 2: N=20
Quality score: 5 / 5