Review
Chemistry, Analytical
Maritza Bustos-Lopez, Nicandro Cruz-Ramirez, Alejandro Guerra-Hernandez, Laura Nely Sanchez-Morales, Nancy Aracely Cruz-Ramos, Giner Alor-Hernandez
Summary: Appropriate teaching strategies can increase student engagement, and modern technology allows for the measurement of engagement through analyzing physiological signals. This review explores current initiatives in detecting student engagement in educational settings, highlighting common physiological signals and key features of engagement.
Article
Psychology, Multidisciplinary
Wei Tao
Summary: The study found a moderate relationship between teacher mindfulness, work engagement, and classroom emotions. The impact of teacher mindfulness on classroom emotions is partially mediated by work engagement, while negative and positive emotions play different roles in mediating the relationship.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Environmental Studies
Shelby N. Ruiz, Julia K. Day, Krissy Govertsen, Michael Kane
Summary: As technology advances, occupant behavior plays a significant role in preventing building operators from achieving performance goals. Occupant-centric control (OCC) is suggested as a means to incorporate occupants while reducing negative impacts on building performance. This paper presents findings from a qualitative study, highlighting the role of operators in OCC and the impact of the operator-occupant relationship on building operation. It identifies factors influencing relationship quality and proposes solutions to improve these relationships.
ENERGY RESEARCH & SOCIAL SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Amit Birenboim, Marco Helbich, Mei-Po Kwan
Summary: Portable sensing, a new and disruptive data collection paradigm using lightweight mobile sensors, has methodological advantages for studying dynamic mobile and urban societies. Although still in its infancy, its utilization is expected to grow in the coming years. Strong study designs grounded in ethical procedures and data protection regulations are essential for its widespread legitimacy as a methodological approach.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2021)
Article
Construction & Building Technology
Sung-Kyung Kim, Ji-Hye Ryu, Hyun-Cheol Seo, Won-Hwa Hong
Summary: This study analyzes the influence of solar radiation on the indoor thermal environment and occupant comfort in buildings with glass curtain wall structures and finds that occupants in different locations have varying sensitivity to changes in the thermal environment.
Article
Chemistry, Analytical
Freddie Sherratt, Andrew Plummer, Pejman Iravani
Summary: This study focuses on the understanding of LSTM behavior for locomotion mode recognition, showing that the model primarily classifies activity types based on data around early stance. It also demonstrates the model's low sensitivity to learning hyper-parameters when evaluating generalization for new users, emphasizing the need for personalization of models.
Review
Business
Kirti Sharma, Sangeeta Trott, Sunil Sahadev, Ramendra Singh
Summary: Consumers' emotions have a significant impact on their buying process, consumption behaviors, and engagement with products/services, attracting considerable attention in recent years. However, the literature in this field lacks theoretical coherence. To address this, this study provides a comprehensive review of existing literature using a hybrid approach, integrating bibliometric analysis to identify key theories, constructs, research contexts, and methods. Based on a thorough analysis of 384 articles published from 1967 to 2021, several potential research areas have been proposed.
INTERNATIONAL JOURNAL OF CONSUMER STUDIES
(2023)
Article
Green & Sustainable Science & Technology
Silvia Perez-Bezos, Anna Figueroa-Lopez, Matxalen Etxebarria-Mallea, Xabat Oregi, Rufino Javier Hernandez-Minguillon
Summary: Evidence shows that the socio-demographic characteristics of social housing households have an influence on the hygrothermal comfort and energy consumption. The study reveals that different social profiles lead to variations in comfort levels and energy usage patterns. This research highlights the importance of considering socio-demographic factors in improving the comfort and energy efficiency of social housing.
Article
Business
Dongmei Cao, Maureen Meadows, Donna Wong, Senmao Xia
Summary: The study reveals that not all consumers are willing to engage with social media marketing content, and the depth of consumer engagement varies across different social media platforms. There is a lack of empirical research on contextual factors that may contribute to such differences.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Psychology, Multidisciplinary
Yan Xu, Linmin Chen
Summary: This study developed a model based on the Cognitive Emotion Theory to explore the personal active product recommendation behavior during online social contact in a network community. The results showed that good community reciprocity and homogeneity had a positive impact on a sense of community belonging and receptivity, which in turn influenced individuals' active product recommendation behavior.
CURRENT PSYCHOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Victoria Norton, Omobolanle O. Oloyede, Stella Lignou, Qian Janice Wang, Geraldine Vasquez, Niki Alexi
Summary: Consumer awareness of packaging waste is increasing, but information on different food packaging disposal strategies is often not readily available. This study explores cross-country variations in Greece and the UK regarding food packaging choice and disposal patterns, aiming to develop tailored information campaigns to promote sustainable food packaging behavior. Findings from consumer surveys and input from packaging experts revealed key issues such as lack of understanding of packaging symbols, confusion about cleaning food packaging for recycling, and excessive packaging for fresh produce. Based on consumer preferences, these themes were utilized to create infographic and video campaigns. The results are crucial for influencing consumer behavior and developing solutions for a more sustainable European food packaging ecosystem. Disseminating tailored information and gaining support from government, companies, and retailers is essential for facilitating the adoption of sustainable food packaging behavior in consumers' daily lives.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Geochemistry & Geophysics
Yuze Wang, Rong Xiao, Ji Qi, Chao Tao
Summary: This research investigates a transfer learning strategy based on heterogeneous networks to address the cross-sensor image scene classification problem in remote sensing. The experiments demonstrate that this approach outperforms traditional supervised learning and fine-tune methods.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Developmental Biology
Allegra X. Campagna, Christie N. Pham, Maria A. Gartstein
Summary: The study examined the predictors of infant behaviors during the Still-Face Paradigm, finding that frontal EEG asymmetry significantly influenced social engagement in infants, while negative affectivity did not uniquely explain significant variance in behavior factors.
DEVELOPMENTAL PSYCHOBIOLOGY
(2021)
Review
Engineering, Electrical & Electronic
Yuehua Wang, Shulan Lu, Derek Harter
Summary: Recent dramatic advances in sensors, communication, and computing have led to a significant shift in education, with pervasive learning becoming the dominant paradigm, especially post-pandemic where online learning is crucial. This comprehensive review explores state-of-the-art systems for assisting student learning and capturing attention, including sensors, hardware, data features, processing techniques, and key technologies. It provides useful insights for teachers and researchers in understanding current sensor technologies and enhancing student learning environments.
IEEE SENSORS JOURNAL
(2021)
Article
Automation & Control Systems
Federico Becattini, Federico Palai, Alberto Del Bimbo
Summary: With the development of Industry 4.0, machines need to interact with humans. By observing biometrics, machines can assess human authorization and physical and mental fitness for work. Understanding body language enables more natural, secure, and effective human-machine interaction. However, traditional cameras have limitations in capturing comprehensive human understanding, especially in capturing facial expressions. In this study, we propose using event cameras to model expressions, which show improved effectiveness and robustness compared to RGB-based modeling.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Hardware & Architecture
Nan Gao, Wei Shao, Flora D. Salim
Article
Construction & Building Technology
Mikkel B. Kjaergaard, Omid Ardakanian, Salvatore Carlucci, Bing Dong, Steven K. Firth, Nan Gao, Gesche Margarethe Huebner, Ardeshir Mahdavi, Mohammad Saiedur Rahaman, Flora D. Salim, Fisayo Caleb Sangogboye, Jens Hjort Schwee, Dawid Wolosiuk, Yimin Zhu
BUILDING AND ENVIRONMENT
(2020)
Article
Construction & Building Technology
Nan Gao, Wei Shao, Mohammad Saiedur Rahaman, Jun Zhai, Klaus David, Flora D. Salim
Summary: The HVAC system is crucial in buildings, accounting for up to 40% of energy usage, and maintaining thermal comfort is important for energy efficiency and well-being. Recent advancements in data-driven thermal comfort models have shown better performance than traditional methods, contributing to more accurate predictions despite challenges in data availability.
BUILDING AND ENVIRONMENT
(2021)
Article
Computer Science, Artificial Intelligence
Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim
Summary: This article provides a comprehensive review of the recent developments of GANs for spatio-temporal data, including the application of popular GAN architectures and the common practices for evaluating the performance of spatio-temporal applications. Future research directions are also pointed out.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Bing Dong, Yapan Liu, Wei Mu, Zixin Jiang, Pratik Pandey, Tianzhen Hong, Bjarne Olesen, Thomas Lawrence, Zheng O'Neil, Clinton Andrews, Elie Azar, Karol Bandurski, Ronita Bardhan, Mateus Bavaresco, Christiane Berger, Jane Burry, Salvatore Carlucci, Karin Chvatal, Marilena De Simone, Silvia Erba, Nan Gao, Lindsay T. Graham, Camila Grassi, Rishee Jain, Sanjay Kumar, Mikkel Kjaergaard, Sepideh Korsavi, Jared Langevin, Zhengrong Li, Aleksandra Lipczynska, Ardeshir Mahdavi, Jeetika Malik, Max Marschall, Zoltan Nagy, Leticia Neves, William O'Brien, Song Pan, June Young Park, Ilaria Pigliautile, Cristina Piselli, Anna Laura Pisello, Hamed Nabizadeh Rafsanjani, Ricardo Forgiarini Rupp, Flora Salim, Stefano Schiavon, Jens Schwee, Andrew Sonta, Marianne Touchie, Andreas Wagner, Sinead Walsh, Zhe Wang, David M. Webber, Da Yan, Paolo Zangheri, Jingsi Zhang, Xiang Zhou, Xin Zhou
Summary: This paper presents a global database on building occupant behavior, which includes 34 datasets collected from various countries and institutions. These datasets provide more realistic inputs for building energy simulation and load forecasting.
Article
Computer Science, Information Systems
Nan Gao, Mohammad Saiedur Rahaman, Wei Shao, Kaixin Ji, Flora D. Salim
Summary: Seating location in the classroom can affect student engagement, attention, and academic performance. This research investigates how individual and group-wise classroom seating experiences influence student engagement using wearable physiological sensors. The results show that seating proximity is related to perceived engagement and physiologically-based engagement, and students who sit close together tend to have similar learning engagement and high physiological synchrony.
PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT
(2022)
Article
Computer Science, Information Systems
Dongwei Li, Shuliang Wang, Nan Gao, Qiang He, Yun Yang
Summary: This research proposes a novel approach to achieve cost-effective big data clustering in the cloud by training a regression model with sampling data, allowing k-means and EM algorithms to stop automatically when desired accuracy is obtained. Experiment results show high cost-effectiveness with k-means needing only 47.71-71.14% of the computation cost for 99% accuracy and EM needing 16.69-32.04%, potentially saving up to $94,687.49 for the government in each use case.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Proceedings Paper
Computer Science, Cybernetics
Nan Gao, Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim
Summary: Inferring human mental state with sensing technology is a valuable challenge in affective computing, with self-report being the most common way to quantify people's thoughts. This research investigates the reliability of self-report data in the real world and finds inconsistencies between physiologically measured student engagement and perceived engagement.
UBICOMP/ISWC '21 ADJUNCT: PROCEEDINGS OF THE 2021 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2021 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS
(2021)
Article
Computer Science, Information Systems
Nan Gao, Wei Shao, Mohammad Saiedur Rahaman, Flora D. Salim
PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT
(2020)
Article
Computer Science, Information Systems
Dongwei Li, Dayong Ye, Nan Gao, Shuliang Wang
