Modeling the Mood State on Thermal Sensation With a Data Mining Algorithm and Testing the Accuracy of Mood State Correction Factor

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2025

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Pergamon-elsevier Science Ltd

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Energy Systems Engineering
(2009)
The Department of Energy Systems Engineering admitted its first students and started education in the academic year of 2009-2010 under Atılım University School of Engineering. In this Department, all kinds of energy are presented in modules (conventional energy, renewable energy, hydrogen energy, bio-energy, nuclear energy, energy planning and management) from their detection, production and procession; to their transfer and distribution. A need is to arise for a surge of energy systems engineers to ensure energy supply security and solve environmental issues as the most important problems of the fifty years to come. In addition, Energy Systems Engineering is becoming among the most important professions required in our country and worldwide, especially within the framework of the European Union harmonization process, and within the free market economy.
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Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.
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Mechanical Engineering
(2009)
The Atılım University Department of Mechanical Engineering started education in 2009, and offers graduate and doctorate degree programs, in addition to its undergraduate program. Our main goal is to graduate Mechanical Engineers who have the skills to design, analyze and synthesize; who are able to convert advanced technology and innovations into products; and who have the culture of research and cooperation. While our graduates reach this goal, they adopt the principle of life-long learning, and develop a sense of entrepreneurship, paying importance to professional ethics. With a curriculum prepared in line with the criteria of MÜDEK, we help our students develop themselves professionally, and socially. Graduates of mechanical engineering may be employed in many sectors and in a wide array of positions. Able to work under any field that involves production and energy conversion, graduates of the department may also gain expertise in fields such as aviation, automotive, or material engineering.

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Abstract

Psychology is proven as an influencing factor on thermal sensation. On the other hand, mood state is one of the significant parameters in psychology field. To this aim, in the literature, mood state correction factor on thermal sensation (Turhan and Ozbey coefficients) is derived utilizing with data-driven black-box model. However, novel models which present analytical form of the mood state correction factor should be derived based on the several descriptive variables on thermal sensation. Moreover, the result of this factor should also be checked with analytical model results. Therefore, this study investigates the modelling of mood state correction factor with a data mining algorithm, called Multivariate Adaptive Regression Splines (MARS). Additionally, the mood state is also taken as a thermal sensation parameter besides environmental parameters in this algorithm. The same data, which are collected from a university study hall in a temperate climate zone, are used and the model results are compared with the thermal sensation results based on mood state correction factor which is driven via black-box model. The results show that coefficient of correlation "r" between the MARS and black-box model is found as 0.9426 and 0.9420 for training and testing. Hence, the mood state is also modelled via a data mining algorithm with a high accuracy, besides the black-box model.

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OZBEY, Mehmet Furkan/0000-0002-5813-3514
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OZBEY, Mehmet Furkan ORCID logo

Keywords

Adaptive thermal comfort, Human behaviour, Psychology, Profile of mood states (POMS), Multivariate adaptive regression splines (MARS)

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0

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Q2

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Q2

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New Ideas in Psychology

Volume

76

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URI

https://doi.org/10.1016/j.newideapsych.2024.101124

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