Impact of Perceptive, Executive and Emotional Factors on Decision-making of Pedestrian Face to Autonomous Vehicles.

Centre Hospitalier Universitaire de Besancon100 enrolled

Overview

The VASIS project aims to assess the impact of perceptual, executive and emotional factors on decision-making in the context of pedestrian crossing in an industrial environment involving autonomous vehicle traffic (forklift).

Study Type

INTERVENTIONAL

Allocation

Purpose

BASIC_SCIENCE

Masking

NONE

Enrollment

100

Conditions

Decision-making

Interventions

neurocognitifs tests + pedestrian crossign whith virtual realityOTHER

Neurocognitive tests (attention, executive functions, reaction to difficulty). Assessment of anxiety and impulsivity + pedestrian crossign with virtual reality + post-crossing questionnaire

Eligibility

Sex: ALLMin age: 18 YearsMax age: 45 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * subjects aged 18 to 45 * no objection following submission of a non-objection form indicating that the subject has understood the purpose and procedures of the study and agrees to participate in the study and to comply with the requirements and restrictions inherent in the study Exclusion Criteria: * legal incapacity or limited legal capacity * subject unlikely to cooperate with the study and/or poor cooperation anticipated by the investigator * pregnant or breast-feeding women * color-blind subject * history of cardiovascular disease * current psychiatric or neurological disorders (including self-reported diagnoses of epilepsy) * known vestibular disorders (prone to frequent dizziness or vertigo) * headaches or migraines * deafness * subjects under the influence of psychotropic substances (alcohol, drugs) * motor disorders likely to prevent crossing

Locations (1)

Besançon University Hospital

Besançon, France

Outcomes

Primary Outcomes

Evaluation of the impact of the attention of participants on decision-making in the context of pedestrian crossing (virtual reality), particularly on the time required to cross safely, in an industrial environment involving autonomous vehicle traffic.

Quantication of the time required for a pedestrian to cross safely, according to the attention of participants

Time frame: Day 0

Data from ClinicalTrials.gov

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