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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12128/14801
Title: The Effects of the Big Five Personality Traits on Stress among Robot Programming Students
Authors: Pollak, Anita
Dobrowolska, Małgorzata
Timofiejczuk, Anna
Paliga, Mateusz
Keywords: The Big Five; stress; primary stress appraisal; secondary stress appraisal; human-robot interaction
Issue Date: 2020
Citation: Sustainability, Vol. 12 (2020), Art. No. 5196
Abstract: This paper presents relationships between personality traits and stress levels in light of the transactional model of stress. The framework of the transactional model was applied to determine the significance of work with a robot for primary and secondary stress appraisal made by an individual. We decided to use the Big Five personality traits model as one which integrates the dimensions of personality and had been previously applied to research on stress. The participants in our three-wave study were 105 students doing an industrial robots programming course. Using Ten Item Personality Inventory (TIPI) and Questionnaire for Primary and Secondary Appraisal (PASA) questionnaires, we gathered information about the students’ personality, the level of anticipated stress, and the stress experienced while working with a robot after 6 and 12 weeks. The obtained results prove that emotional stability is significant for secondary appraisal of anticipated stress. The results also show that openness to experience is a negative predictor, whereas conscientiousness is a positive predictor of primary stress appraisal. The ability to cope with stress after 12 weeks of work with a robot is appraised as higher by older, more conscientious, and introverted people. The obtained results are discussed from the psychological perspective of stress and personality, which complements earlier studies in technical sciences. The limitations of the study are also indicated.
URI: http://hdl.handle.net/20.500.12128/14801
DOI: 10.3390/su12125196
ISSN: 2071-1050
Appears in Collections:Artykuły (WNS)

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