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Goncalves, M. V., Marques, J. A. L., Silva, B. R. S., Luther, V., & Hayes, S. (2022). Neuromarketing and Global Branding Reaction Analysis Based on Real-Time Monitoring of Multiple Consumer’s Biosignals and Emotions (SSRN Scholarly Paper No. 4071297). https://doi.org/10.2139/ssrn.4071297

Consumers' selections and decision-making processes are some of the most exciting and challenging topics in neuromarketing, sales, and branding. Multicultural influences and societal conditions are also crucial aspects to consider from a global perspective. Applying neuroscience tools and techniques in international marketing and consumer behavior is an emergent and multidisciplinary field that aims to understand consumers' thoughts, reactions, and selection processes in branding and sales. This study focuses on real-time monitoring of different physiological signals using eye-tracking, facial expressions recognition, and Galvanic Skin Response (GSR) acquisition methods to analyze consumers' responses, detect emotional arousal, measure attention or relaxation levels, analyze perception, consciousness, memory, learning, motivation, preference, and decision-making. The primary purpose of this research was to monitor human subjects' reactions to these signals during an experiment designed in three phases consisting of different types of branding advertisements. The non-advertisement exposition was also monitored during the gathering of survey responses at the end of each phase. A feature extraction module was implemented with a data analytics module to calculate statistical metrics and decision-making supporting tools based on Principal Component Analysis (PCA) and Feature Importance (FI) determination based on the Random Forest technique. The results indicate that when compared to image ads, video ads are more effective in attracting consumers' attention and creating more emotional arousal.

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Li, W., Yang, Q., & Du, W. (2022). Tourist Sentiment Mining Based on Deep Learning. In C. Thomas (Ed.), Artificial Intelligence (Vol. 8). IntechOpen. https://doi.org/10.5772/intechopen.98836

Mining the sentiment of the user on the internet via the context plays a significant role in uncovering the human emotion and in determining the exactness of the underlying emotion in the context. An increasingly enormous number of user-generated content (UGC) in social media and online travel platforms lead to development of data-driven sentiment analysis (SA), and most extant SA in the domain of tourism is conducted using document-based SA (DBSA). However, DBSA cannot be used to examine what specific aspects need to be improved or disclose the unknown dimensions that affect the overall sentiment like aspect-based SA (ABSA). ABSA requires accurate identification of the aspects and sentiment orientation in the UGC. In this book chapter, we illustrate the contribution of data mining based on deep learning in sentiment and emotion detection.

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Li, N., Yang, X., Du, W., Ogihara, A., Zhou, S., Ma, X., Wang, Y., Li, S., & Li, K. (2022). Exploratory Research on Key Technology of Human-Computer Interactive 2.5-Minute Fast Digital Early Warning for Mild Cognitive Impairment. Computational Intelligence and Neuroscience, 2022, 1–15. https://doi.org/10.1155/2022/2495330

Objective. As the preclinical stage of Alzheimer’s disease (AD), Mild Cognitive Impairment (MCI) is characterized by hidden onset, which is difficult to detect early. Traditional neuropsychological scales are main tools used for assessing MCI. However, due to its strong subjectivity and the influence of many factors such as subjects’ educational background, language and hearing ability, and time cost, its accuracy as the standard of early screening is low. Therefore, the purpose of this paper is to propose a new key technology of fast digital early warning for MCI based on eye movement objective data analysis. Methodology. Firstly, four exploratory indexes (test durations, correlation degree, lengths of gaze trajectory, and drift rate) of MCI early warning are determined based on the relevant literature research and semistructured expert interview; secondly, the eye movement state is captured based on the eye tracker to realize the data extraction of four exploratory indexes. On this basis, the human-computer interactive 2.5-minute fast digital early warning paradigm for MCI is designed; thirdly, the rationality of the four early warning indexes proposed in this paper and their early warning effectiveness on MCI are verified. Results. Through the small sample test of human-computer interactive 2.5 fast digital early warning paradigm for MCI conducted by 32 elderly people aged 70–90 in a medical institution in Hangzhou, the two indexes of “correlation degree” and “drift rate” with statistical differences are selected. The experiment results show that AUC of this MCI early warning paradigm is 0.824. Conclusion. The key technology of human-computer interactive 2.5 fast digital early warning for MCI proposed in this paper overcomes the limitations of the existing MCI early warning tools, such as low objectification level, high dependence on professional doctors, long test time, requiring high educational level, and so on. The experiment results show that the early warning technology, as a new generation of objective and effective digital early warning tool, can realize 2.5-minute fast and high-precision preliminary screening and early warning for MCI in the elderly.

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Uma Questão de Arquitectura: Programa. (2022, March 22). In Café da Manhã. Rádio Macau. https://www.tdm.com.mo/pt/radio/program-playlist/400484?tabIndex=0

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Morrison, K. (2022, March 13). Getting out of a problem. Macau Business. https://www.macaubusiness.com/opinion-getting-out-of-a-problem/

Macau, Macau Business, MAG, MB, MB Featured, Opinion | Macau should be proud of its protective handling of the Covid-19 pandemic, as it has managed to contain its spread, and many of its citizens have been able to lead a more normal life than in other parts of the world. We should be grateful for this.

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Yang, P., Xu, H., & Hannam, K. (2022). A touristic habitation: automobilities of Chinese driving tourists. Tourism Geographies, 0(0), 1–21. https://doi.org/10.1080/14616688.2022.2046148

As an emergent tourism sector, driving tourism connects car use and touristic activities intimately. Following the notion of the ‘inhabited car’, this article explores how and why Chinese tourists inhabit a travelling car for drivers/passengers in the leisure automobility and driving tourism context. Through three different road trips and ‘mobile methods’, it was found that Chinese tourists inhabit the car in four ways: driving, gazing, listening, and communicating. Through this embodied habitation, the car is turned into a ‘touristic inhabitation’ space for protecting the tourists generating touristic emotions、social interactions, and tourism meanings. The study contributes to automobility and tourism literature and provides implications for driving tourism development in China.

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Fernandes-Marcos, A., & Tavares, M. (2022). INNOVATING IN OPEN DISTANCE TEACHING WITH FACE-TO-FACE RETREATS WITHIN A DOCTORAL PROGRAM IN DIGITAL MEDIA ART. Proceedings of 16th Annual International Technology, Education and Development Conference (INTED2022, 3336–3343. https://doi.org/10.21125/inted.2022.0938

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Southern Inner Harbour Public Domain – Conceptual Design: Zone 01 –Manduco. (2022). University of Saint Joseph.

Southern Inner Harbour Public Domain – Conceptual Design: Zone 02 - Padre António. (2022). University of Saint Joseph.

Southern Inner Harbour Public Domain – Conceptual Design: Zone 03 – Ponte e Horta. (2022). University of Saint Joseph.

Southern Inner Harbour Public Domain – Conceptual Design Zone 04 – Harbou. (2022). University of Saint Joseph.

Southern Inner Harbour Public Domain – Conceptual Design: Zone 05 - Felicidade. (2022). University of Saint Joseph.

Southern Inner Harbour Public Domain – Conceptual Design: Zone 06 – Santo Agostinho. (2022). University of Saint Joseph.

Southern Inner Harbour Public Domain – Conceptual Master Plan. (2022). University of Saint Joseph.

內港南部公共領域 – 概念性總體規劃. (2022). University of Saint Joseph.

內港南部公共領域 - 概念設計：區域 01下環街區. (2022). University of Saint Joseph.