Poster De Conférence Année : 2025

Assessing the impact of multimodality on attentional network

Évaluation de l'impact de la multimodalité sur les réseaux attentionnels

Résumé

Attentional state is constantly challenged during daily life and especially when driving. This can lead to increasing traffic accident or error judgment notably by the augmentation of fatigue (Saleem, 2022), distraction (Dingus et al., 2016), cognitive load (Xu et al., 2024), and even low frequencies vehicle vibration (Zhang et al., 2024). Maintaining optimal vigilance is therefore essential for safe maneuver execution. We investigated whether delivering redundant sensory information improves the efficiency of the three attentional networks (alerting, orienting, executive control), reaction time and number of good responses. Building on the original Attention Network Test (ANT) and different variant (Fan et al., 2009) we compared unimodal visual cues, unimodal vibrotactile cues and a combined multimodal cue (visuo vibrotactile). 30 participants seat on a vibrating chair and completed a modified Attention Network Test in 3 modalities: visual only, vibrotactile only and multimodal (combined visuo-vibrotactile). Each trial began with one of four cue types—no cue, double cue, valid spatial cue or invalid spatial cue—followed by five arrows that could be congruent or incongruent. Alerting, orienting and executive control scores were computed, reaction times were analyzed using a Gamma-link generalized mixed model and accuracy was analyzed with a binomial-link generalized mixed model. Repeated measure ANOVA on alerting score, orienting scores and executive control were performed. No modality effect emerged for alerting or executive control. However, orienting was reduced in vibrotactile condition compared to visual and multimodal condition. Reaction times were slower in multimodal condition than visual which is also slower than vibrotactile condition especially with valid spatial cue. Although, accuracy was higher in the multimodal condition than vibrotactile condition but not with visual condition. Overall, the multimodal condition emerged as the most effective configuration, combining speed and accuracy, supporting the idea that redundant multisensory signals can optimize attentional processing in dynamic environments such as driving.

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Dates et versions

hal-05494476 , version 1 (05-02-2026)
hal-05494476 , version 2 (09-02-2026)

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Identifiants

  • HAL Id : hal-05494476 , version 2

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L Samain-Aupic, M Aramaki. Assessing the impact of multimodality on attentional network. SfN, Nov 2025, San Diego (CA), United States. ⟨hal-05494476v2⟩
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