Clustering and Investigation of Human Driving Behavior Using Autoencoder and Risk Assessment by Donghoon Shin, Jinhee Myoung, Woongsun Jeon, Kang-Moon Park

“…The autoencoder extracts features from the driving data and enables us to analyze the effects of shoe type on driving behavior. …”
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Log-Driven Behavior Discrimination of Process Robots Using Entropy Similarity by Lu Li, Huan Fang

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Spatiotemporal understanding of behaviors of laying hens using wearable inertial sensors by Tsuyoshi Shimmura, Itsufumi Sato, Ryo Takuno, Kaori Fujinami

“…Furthermore, using the time-series information included in the sensor data, we analyzed the behavioral transition from one behavior to another. …”
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Modeling Customer Purchase Behavior in the Insurance Industry Using System Dynamics by Shabnam Jalalat, Kambiz Shahroodi, Mehdi Fadaei, Mahdi Homayounfar

“…System dynamics is a powerful approach for modeling and simulation that has shown its applicability in analyzing and predicting the behavior of complex systems. Therefore, this article used this tool to model and simulate the impact of advertising on the behavior of life insurance customers and its relationship with revenue and asset management. …”
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Research on Compliance Thresholds Based on Analysis of Driver Behavior Characteristics by Mingyue Ma, Weiqing Wang, Zelin Miao, Tao Wang, Guangming Zhao

“…To address this issue, this paper conducts an in-depth analysis of vehicle emergency braking behavior based on the Aerial Dataset for China Congested Highway and Expressway (AD4CHE). …”
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AIGC Using Behavior Analysis from the Perspective of Artificial Intelligence Literacy by Yuhong CUI, Jintao ZHAO

“…The study builds on this model by adding AI literacy as a key variable to examine its moderating role in shaping the students' use of AIGC tools. The data were collected via a survey disseminated to university students who have used AIGC tools. …”
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Determination of Sustainable Consumption Behaviors of Pre-service Science Teachers Using the Theory of Planned Behavior: A Case of Fast-Food by Kibar Sungur Gül, Huseyin Ates

“…The study aims to examine factors affecting fast food consumption behaviors within the framework of the sustainability framework using the theory of planned behavior. …”
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Use of Extended Characteristics of Locomotion and Feeding Behavior for Automated Identification of Lame Dairy Cows. by Gian Beer, Maher Alsaaod, Alexander Starke, Gertraud Schuepbach-Regula, Hendrik Müller, Philipp Kohler, Adrian Steiner

“…A model for automatic lameness detection was created, using data from accelerometers attached to the hind limbs and noseband sensors attached to the head. …”
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The Use of Digital Devices to Monitor Physical Behavior in Motor Neuron Disease: Systematic Review by Lucy Samantha Musson, Nina Mitic, Victoria Leigh-Valero, Gladys Onambele-Pearson, Liam Knox, Frederik J Steyn, Cory J Holdom, Taylor JM Dick, Ruben PA van Eijk, Jordi WJ van Unnik, Lianne CM Botman, Emily Beswick, Deirdre Murray, Alys Griffiths, Christopher McDermott, Esther Hobson, Amina Chaouch, Emma Hodson-Tole

“…There is value in establishing a consensus approach to standardizing the use of such devices. ObjectiveWe aimed to explore how digital devices are being used to quantify free-living physical behavior in MND. …”
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What patients and caregivers want to know when consenting to the use of digital behavioral markers by Anika Sonig, Christine Deeney, Meghan E. Hurley, Eric A. Storch, John Herrington, Gabriel Lázaro-Muñoz, Casey J. Zampella, Birkan Tunc, Julia Parish-Morris, Jenny Blumenthal-Barby, Kristin Kostick-Quenet

“…Abstract Artificial intelligence (AI)-based computational tools for deriving digital behavioral markers are increasingly able to automatically detect clinically relevant patterns in mood and behavior through algorithmic analysis of continuously and passively collected data. …”
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Data on behavioural intention to use AI copilot through TAM and AI ecological education policy lensMendeley Data by Emelie C. Villaceran, Celbert M. Himang

“…This research presents a dataset concerning the behavioral intention to utilize AI Copilot among faculty and students at Cebu Technological University, analyzed through the lenses of the Technology Acceptance Model (TAM) and the AI Ecological Education Policy Framework. …”
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Extending the theory of planned behavior to explore the intent to use electric motorcycles in Da Nang by Nguyen Van Bien, Le Minh Chau, Vo Dinh Quang Nhat, Nguyen Phuoc Quy Duy

“…To achieve this, it is essential to analyze in depth the factors influencing the intention to use electric motorcycle. This study is based on an extended Theory of Planned Behavior (TPB) model, aiming to examine and evaluate the impact of perceived value and perceived cost on the behavior of using electric motorcycle. …”
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Generative artificial intelligence (GenAI) use and dependence: an approach from behavioral economics by Oscar Robayo-Pinzon, Sandra Rojas-Berrio, Jorge E. Camargo, Gordon R. Foxall, Gordon R. Foxall

“…ObjectiveThis study aims to explore the perceived dependence on Generative Artificial Intelligence (GenAI) tools among young adults and examine the relative reinforcing value of AI chatbots use compared to monetary rewards, applying a behavioral economics approach.Participants/methodsA total of 420 university students from Bogotá, Colombia, participated in an online survey. …”
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Occupational fall incidence associated with heated tobacco product use and lifestyle behaviors in Japan by Saki Tsushima, Kazuhiko Watanabe, Sora Hirohashi, Tomohiro Yoshimi, Yoshihisa Fujino, Takahiro Tabuchi, Masayoshi Zaitsu

“…These findings highlight the significant association between HTP use, lifestyle behaviors, and occupational falls.…”
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Decentralized big data mining: federated learning for clustering youth tobacco use in India by Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas

“…Furthermore, the integration of differential privacy ensures additional protection by adding controlled noise to the model parameters, safeguarding individual-level data from exposure during the learning process. The study highlights the varying performances of the clustering algorithms, revealing valuable insights into regional smoking behaviors and the effectiveness of government anti-tobacco campaigns. …”
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An Enhanced Approach for Remaining Useful Life Prediction of Bearings Using Incomplete Lifecycle Data by Xunmeng An, Chao Zhang, Caiye Liu, Wentao Zhao

“…Finally, the model undergoes fine-tuning in a supervised phase using complete lifecycle data. To further improve prediction accuracy, we employ a channel-independent transformer network, while RUL estimation is accomplished by integrating multi-source features through a multi-layer perceptron (MLP) layer. …”
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Gambling and other addictive behaviors among higher education students in Finland—insights from a large-scale survey by Jussi Palomäki, Jussi Palomäki, Sari Castrén, Sari Castrén, Sari Castrén, Niko Männikkö, Niko Männikkö, Tiina Latvala

“…We analyzed our data using post-stratification survey weighted logistic regression modeling.ResultsOur main findings were that (i) students in polytechnics were more prone to gamble and experience harms than university students, (ii) self-perceived problem gambling was significantly associated with alcohol use but not with drug use or smoking, and (iii) compulsive internet use predicted gambling problems but not increased gambling activity.DiscussionOur results underscore the need for early detection of harmful behaviors among students, and early interventions for those with severe problems. …”
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Socio-Demographic and Clinical Characteristics of Iraqi Crystal Meth Users by Hussein Al-Ka'aby, Marwa Jameel, Adnan Yaseen, Ahmed Al-Imam, Nesif Al-Hemiary

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Beyond insecticide treated bed nets coverage to heterogeneous human behaviors and spatial realities by Merveille Koissi Savi, Merveille Koissi Savi, Lauren M. Childs, Lauren M. Childs, Christian Borgemeister

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Experimental Observation and Validation of EV Model for Real Driving Behavior by Antonio Covello, Andrea Di Martino, Michela Longo

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