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Analysing the affect of navigation system voice on driving performance

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dc.contributor.author Samal, Vishal
dc.contributor.author Gupta, Ankit Raj
dc.contributor.author Shukla, Jainendra (Advisor)
dc.date.accessioned 2022-03-30T05:28:55Z
dc.date.available 2022-03-30T05:28:55Z
dc.date.issued 2020-12
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/973
dc.description.abstract Driving is a demanding task both mentally and physically. Our emotional state can have a signi ficant effect on our driving performance. Due to which automobile organizations have been interested in developing emotionally aware vehicles which can adapt according to the driver's need for optimal driving experience and performance. One of the components of a vehicle which we will focusing for this project is the navigation system. Previous studies have shown that there is correlation between the mood of the driver and what emotion the tone of the navigation voice system represents (which were happy or sad in those studies). The aim of this project is to conduct an experiment where we will try to find correlations between emotional state of the driver and navigation system voice tone, the data collected from the experiment will be then used to train a model which will select the optimal navigation system voice for the user. The voice selection model will use Physiological signals in addition to Big Five Personality traits of the user to determine what voice is to be selected. en_US
dc.language.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject EEG en_US
dc.subject ECG en_US
dc.subject GSR en_US
dc.subject Physiological signals en_US
dc.subject Machine Learning en_US
dc.title Analysing the affect of navigation system voice on driving performance en_US
dc.type Other en_US


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