Personality
The purpose of the present study is to examine the influence of big five personality traits viz., extraversion, agreeableness, neuroticism, conscientiousness, openness on impulse buying behaviour of consumers and investigate the mediating role of shopping enjoyment tendency. Employing structural equation modelling empirical data was collected from 326 consumers in India that revealed a statistically significant impact of four of five personality traits viz., extraversion, agreeableness, neuroticism, conscientiousness.
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The popularity of wearable physiological recording devices has opened up new possibilities for the assessment of personality traits in everyday life. Compared with traditional questionnaires or laboratory assessments, wearable device-based measurements can collect rich data about individual physiological activities in real-life situations without interfering with normal life, enabling a more comprehensive description of individual differences. The present study aimed to explore the assessment of individuals’ Big-Five personality traits by physiological signals in daily life situations.
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The popularity of wearable physiological recording devices has opened up new possibilities for the assessment of personality traits in everyday life. Compared with traditional questionnaires or laboratory assessments, wearable device-based measurements can collect rich data about individual physiological activities in real-life situations without interfering with normal life, enabling a more comprehensive description of individual differences. The present study aimed to explore the assessment of individuals’ Big-Five personality traits by physiological signals in daily life situations.
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Nodes represent personality facets (a description of each facet is provided in Table 3), green lines represent positive connections and red lines represent negative connections. Thicker lines represent stronger connections and thinner lines represent weaker connections. The node placement of all graphs is based on the adaptive LASSO network to facilitate comparison. The width and color are scaled to the strongest edge and are not comparable between graphs; edge strengths in the correlation network are generally stronger than edge strengths in the partial correlation network.
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