A gray matter of taste: sound perception, music cognition, and Baumgarten's aesthetics

Does Background Music Affect Silent Dining Emotions? An Empirical Study of Restaurants during COVID-19

The music environment of a restaurant is an important factor that affects consumer behaviors during the dining experience, especially silent dining behaviors among people who are not encouraged to talk in the context of COVID-19. This study empirically analyzed the influence of consumers’ background music preferences on their emotions and behavioral responses during their dining experience at a high-end Chinese restaurant. A total of 393 valid samples were obtained through purposive sampling and snowball sampling. The research tools used in this study included a personal background information questionnaire, four Oriental and Western music conditions, a background music preference scale, a scale for evaluating emotions during the dining experience, and a behavioral response scale. The results showed that the subjects preferred the Chinese classical music—the Butterfly Lovers Concerto. Background music affected the participants’ emotions during their dining experience, and different background music conditions resulted in significant differences in emotions and behaviors. The consumers’ emotions, during their dining experience significantly predicted their behaviors under all four music conditions. The greatest contribution and value of this study stem from the finding that the background music at a restaurant can arouse specific positive emotions in consumers during their dining experience and thus affect their eating behavior.

An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices

The evolution of the Internet of Things leads to new opportunities for the contemporary notion of smart offices, where employees can benefit from automation to maximize their productivity and performance. However, although extensive research has been dedicated to analyze the impact of workers’ emotions on their job performance, there is still a lack of pervasive environments that take into account emotional behaviour. In addition, integrating new components in smart environments is not straightforward. To face these challenges, this article proposes an architecture for emotion aware automation platforms based on semantic event-driven rules to automate the adaptation of the workplace to the employee’s needs. The main contributions of this paper are: (i) the design of an emotion aware automation platform architecture for smart offices; (ii) the semantic modelling of the system; and (iii) the implementation and evaluation of the proposed architecture in a real scenario.