Kinesthesia in a sustained-attention driving task

Chuang, Chun‐Hsiang; Ko, Li‐Wei; Jung, Tzyy‐Ping; Lin, Chin‐Teng · 2014 · OpenAlex-citations

DOI: 10.1016/j.neuroimage.2014.01.015

archive: archived pipeline: cataloged verified

Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)

Summary

This study investigates how kinesthetic feedback influences brain activity and behavioral performance during a sustained-attention driving task. While vision is traditionally considered the primary sensory input for driving, kinesthesia provides critical information regarding vehicle motion, speed, and location. The authors hypothesized that kinesthetic input alters neurophysiological dynamics, particularly during cognitive lapses. To test this, the researchers utilized an immersive driving simulator to examine the interaction between motion cues, attention levels, and electroencephalographic (EEG) responses, aiming to elucidate the neural mechanisms supporting complex, coordinated behavior in naturalistic environments. The experimental design involved sixteen participants who completed two 90-minute driving sessions on separate days: one with visual feedback only (K−) using a fixed-base simulator, and one with combined visual and kinesthetic feedback (K+) using a six-degree-of-freedom motion platform. Participants performed a lane-departure paradigm where they had to steer back to the center of the lane after random perturbations. EEG signals were recorded and analyzed using independent component analysis (ICA) to isolate neural sources, followed by time-frequency analysis to examine spectral power in delta, theta, alpha, and beta bands. Performance was categorized into optimal, suboptimal, and poor groups based on reaction times (RTs) to lane deviations. Results indicated that kinesthetic feedback significantly improved driving performance in optimal states, yielding shorter reaction times compared to the visual-only condition. However, in suboptimal performance states, kinesthetic feedback was associated with significantly longer reaction times, suggesting a decrease in attentional demand that facilitated slower responses. Neurophysiologically, kinesthetic feedback reduced theta-power augmentation in central and frontal components during action preparation and error monitoring, while strengthening alpha suppression in central components during steering. These spectral dynamics correlated strongly with performance lapses. Specifically, the presence of kinesthetic cues modulated the brain’s response to unexpected events, altering the typical patterns of theta and alpha power associated with vigilance and motor control. The findings demonstrate that kinesthetic feedback interacts with cognitive state to influence both behavior and brain dynamics. The study provides neurophysiological evidence that motion cues can reduce attentional load, which benefits performance when attention is high but may lead to delayed responses when attention wanes. These results enhance the understanding of distributed brain dynamics in complex tasks and highlight the importance of multi-sensory integration in human-machine interaction, with implications for designing safer driving environments and monitoring driver vigilance.

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.

StageOutcomeToolModelPromptAttemptsCompleted
discover success OpenAlex-citations 1 2026-06-17
archive success semantic_scholar 6 2026-06-25
extract success pdftotext 2 2026-06-26
clean success clean 1 2026-06-26
chunk success chunk 1 2026-06-26
embed success embed Qwen/Qwen3-Embedding-8B 1 2026-06-26
enrich failed 4 2026-06-25
promote success 1 2026-06-17
summarize success llm qwen3.6-27b-prismaquant summ-v5 1 2026-06-25
tag success vector_similarity 6 2026-06-26
verify success 1 2026-06-26

Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).