Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/4125
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dc.contributor.advisorMezannar, Nayen_US
dc.contributor.authorChehade, Charbelen_US
dc.date.accessioned2020-12-23T14:40:28Z-
dc.date.available2020-12-23T14:40:28Z-
dc.date.issued2019-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/4125-
dc.descriptionIncludes bibliographical references (p. 50-51).en_US
dc.descriptionSupervised by Dr. Nay Mezannar.en_US
dc.description.abstractNowadays machines have reached a high level of reliability. The main failures in human-machine interaction are rising from the human factors side. Studies showed that emotions and sensory perception are strongly correlated: they can affect how a user perceives the senses. Emotions can hence alter the situation awareness of the user affecting the decision-making process and thus leading to fatalities in safety-critical fields. Being able to monitor and enhance the situation awareness in critical tasks, will influence the decisionmaking process. This paper presents the results of innovative research combining emotions measured through electroencephalography (EEG) with the concept of chromotherapy. Emotions could be identified through brain scans while monitoring brain activity. Their affiliation with colors is demonstrated in previous studies (Nijdam, 2010). In addition, these measured parameters can be successfully correlated to the different levels of situation awareness of the user. Being able to adjust the emotions of the user based on chromotherapy will improve the situation awareness, hence the decision-making process. Based on the Mixed-group experimental design, users from the same age and demography undertook a puzzle-solving task. Using a non-invasive neuroheadset, the emotions were measured, and the dependent variables recorded: level accomplished during a fixed interval of time, and result. The experimental two groups had the room wall colors varying (blue for group 1 and red for group 2). By retrieving the raw data recorded for both groups from the neuroheadset, results of group 1 tested in the blue room, showed an optimization of the users alertness and situation awareness resulting in a more efficient decision-making process. This improvement was manifested by the fact that the majority members of group 1 (subjected to blue lighting) scored higher levels of that of members of group 2 (subjected to red lighting) for an identical interval of time.en_US
dc.description.statementofresponsibilityby Charbel Chehadeen_US
dc.format.extentvi, 54 p. :ill., tables ;30 cmen_US
dc.language.isoengen_US
dc.rightsThis object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holderen_US
dc.subject.lcshElectroencephalographyen_US
dc.subject.lcshEmotionsen_US
dc.subject.lcshPattern recognition systemsen_US
dc.titleEmotions influenced by colors and its impact on the decision-making processen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.contributor.facultyFaculty of Engineeringen_US
dc.contributor.institutionUniversity of Balamanden_US
dc.date.catalogued2019-07-01-
dc.description.degreeMS in Mechanical Engineeringen_US
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://olib.balamand.edu.lb/projects_and_theses/GP-Mec-196.pdfen_US
dc.identifier.OlibID192576-
dc.provenance.recordsourceOliben_US
Appears in Collections:UOB Theses and Projects
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