Emotional Analysis through EEG on In-Store Journey

Osornio García, Fernando U.; Fragoso González, Gilberto A.; Martínez Pérez, Mayté V.; Báez Martínez, Fernando; Salas Barraza, Mario H.; González, Víctor M.

doi:10.1007/978-3-031-36049-7_12

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Moreover, in this study, brain activity was assessed through two conditioning strategies: crowded and non-crowded conditions. EEG signals were measured using Emotiv EPOC [75,76] in both conditions. Consistent with the findings from the subjective evaluation study, the results from the physiological analysis aligned.…”

Section: Crowding Perception On Emotional Arousalmentioning

confidence: 99%

Examining the Impact of Crowding Perception on the Generation of Negative Emotions among Users of Small Urban Micro Public Spaces

Zhang,

Qi,

Zhang

2023

Sustainability

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The improvement of urban congestion and the mood of the populace is vital for achieving the United Nations Sustainable Development Goals. This paper aims to test the hypothesis that crowding in urban micro public spaces (UMPSs) affects emotions, and two different methods were used: a psychological questionnaire to measure whether crowding in such spaces elicits negative emotional responses from users and a portable electroencephalography (EEG) device to explore emotional responses. This study was conducted in Shenyang, China, based on the city’s relevant policies and the type and number of micro spaces and micro public spaces, proving that Shenyang City has paid more attention to planning micro spaces and micro public spaces in its urban development. The results show that 1. UMPS crowding awakens negative emotions in users, which affects their intention to revisit the UMPS, and 2. If the UMPS is more attractive to users, it also improves the negative emotions due to crowding, which implies that the attractiveness of the environment does play an important moderating role. This study may inspire the construction concept of UMPSs in different countries and cities, complementing the planning of urban public spaces to provide more social equity. The creation of UMPS has a positive effect on neighborhood interactions, community network construction, and the reproduction of social capital, which can contribute to the sustainable development of cities.

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Section: Crowding Perception On Emotional Arousalmentioning

confidence: 99%

Examining the Impact of Crowding Perception on the Generation of Negative Emotions among Users of Small Urban Micro Public Spaces

Zhang,

Qi,

Zhang

2023

Sustainability

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Are We in the Zone? Exploring the Features and Method of Detecting Simultaneous Flow Experiences Based on EEG Signals

Zhang,

Li,

Zhou

et al. 2024

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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When executing interdependent personal tasks for the team's purpose, simultaneous individual flow (simultaneous flow) is the antecedent condition of achieving shared team flow. Detecting simultaneous flow helps better understanding the status of team members, which is thus important for optimizing multi-user interaction systems. However, there is currently a lack exploration on objective features and methods for detecting simultaneous flow. Based on brain mechanism of flow in teamwork and previous studies on electroencephalogram (EEG)-based individual flow detection, this study aims to explore the significant EEG features related to simultaneous flow, as well as effective detection methods based on EEG signals. First, a two-player simultaneous flow task is designed, based on which we construct the first multi-EEG signal dataset of simultaneous flow. Then, we explore the potential EEG signal features that may be related to individual and simultaneous flow and validate their effectiveness in simultaneous flow detection with various machine learning models. The results show that 1) the inter-brain synchrony features are relevant to simultaneous flow due to enhancing the models' performance in detecting different types of simultaneous flow; 2) the features from the frontal lobe area seem to be given priority attention when detecting simultaneous flows; 3) Random Forests performed best in binary classification while Neural Network and Deep Neural Network3 performed best in ternary classification.

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Coping with Examination Stress: An Emotion Analysis

Avdimiotis,

Konstantinidis,

Stalidis

et al. 2024

Sensors

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Stress is an important factor affecting human behavior, with recent works in the literature distinguishing it as either productive or destructive. The present study investigated how the primary emotion of stress is correlated with engagement, focus, interest, excitement, and relaxation during university students’ examination processes. Given that examinations are highly stressful processes, twenty-six postgraduate students participated in a four-phase experiment (rest, written examination, oral examination, and rest) conducted at the International Hellenic University (IHU) using a modified Trier protocol. Network analysis with a focus on centralities was employed for data processing. The results highlight the important role of stress in the examination process; correlate stress with other emotions, such as interest, engagement, enthusiasm, relaxation, and concentration; and, finally, suggest ways to control and creatively utilize stress.

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Emotional Analysis through EEG on In-Store Journey

Cited by 3 publications

References 17 publications

Examining the Impact of Crowding Perception on the Generation of Negative Emotions among Users of Small Urban Micro Public Spaces

Examining the Impact of Crowding Perception on the Generation of Negative Emotions among Users of Small Urban Micro Public Spaces

Are We in the Zone? Exploring the Features and Method of Detecting Simultaneous Flow Experiences Based on EEG Signals

Coping with Examination Stress: An Emotion Analysis

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