{"title":"Cross-modal feedback of tactile and auditory stimuli for cyclists in noisy environments","authors":"Ryosuke Uemura, Takumi Asakura","doi":"10.1016/j.sna.2024.116031","DOIUrl":null,"url":null,"abstract":"<div><div>In recent years, with the increasing use of bicycles for environmental and health benefits, the importance of the feedback for cyclists is increasing. Moreover, as bicycles account for 23 % of all traffic accidents in 2022, improving bicycle safety is a crucial challenge. This study aimed to explore methods for enhancing safety and improving feedback to cyclists through auditory and tactile signals. Experiments were conducted using a cycling simulator and cross-modal reaction tests of tactile and auditory signals to simulate bicycle riding under actual external noise environments. The accuracy of the recognition and reaction times for both tactile and auditory signals were evaluated in situations with simulated road traffic sounds. Subsequently, the effectiveness of cross-modal feedback was assessed, optimal signal conditions were examined, and the relationship between variations in environmental noise and optimal auditory signals for cyclists was discussed. The results showed that cross-modal feedback led to faster reaction times, while the recognition accuracy of auditory signals varied depending on environmental noise levels. The present findings suggest the potential of cross-modal feedback to enhance cyclist safety, particularly when optimized for environmental conditions and individual perception.</div></div>","PeriodicalId":21689,"journal":{"name":"Sensors and Actuators A-physical","volume":"380 ","pages":"Article 116031"},"PeriodicalIF":4.1000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors and Actuators A-physical","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0924424724010252","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, with the increasing use of bicycles for environmental and health benefits, the importance of the feedback for cyclists is increasing. Moreover, as bicycles account for 23 % of all traffic accidents in 2022, improving bicycle safety is a crucial challenge. This study aimed to explore methods for enhancing safety and improving feedback to cyclists through auditory and tactile signals. Experiments were conducted using a cycling simulator and cross-modal reaction tests of tactile and auditory signals to simulate bicycle riding under actual external noise environments. The accuracy of the recognition and reaction times for both tactile and auditory signals were evaluated in situations with simulated road traffic sounds. Subsequently, the effectiveness of cross-modal feedback was assessed, optimal signal conditions were examined, and the relationship between variations in environmental noise and optimal auditory signals for cyclists was discussed. The results showed that cross-modal feedback led to faster reaction times, while the recognition accuracy of auditory signals varied depending on environmental noise levels. The present findings suggest the potential of cross-modal feedback to enhance cyclist safety, particularly when optimized for environmental conditions and individual perception.
期刊介绍:
Sensors and Actuators A: Physical brings together multidisciplinary interests in one journal entirely devoted to disseminating information on all aspects of research and development of solid-state devices for transducing physical signals. Sensors and Actuators A: Physical regularly publishes original papers, letters to the Editors and from time to time invited review articles within the following device areas:
• Fundamentals and Physics, such as: classification of effects, physical effects, measurement theory, modelling of sensors, measurement standards, measurement errors, units and constants, time and frequency measurement. Modeling papers should bring new modeling techniques to the field and be supported by experimental results.
• Materials and their Processing, such as: piezoelectric materials, polymers, metal oxides, III-V and II-VI semiconductors, thick and thin films, optical glass fibres, amorphous, polycrystalline and monocrystalline silicon.
• Optoelectronic sensors, such as: photovoltaic diodes, photoconductors, photodiodes, phototransistors, positron-sensitive photodetectors, optoisolators, photodiode arrays, charge-coupled devices, light-emitting diodes, injection lasers and liquid-crystal displays.
• Mechanical sensors, such as: metallic, thin-film and semiconductor strain gauges, diffused silicon pressure sensors, silicon accelerometers, solid-state displacement transducers, piezo junction devices, piezoelectric field-effect transducers (PiFETs), tunnel-diode strain sensors, surface acoustic wave devices, silicon micromechanical switches, solid-state flow meters and electronic flow controllers.
Etc...