24 papers · ranked by Valyu relevance
B. H. Eagan, B. Eagan, A. Protopopova
Efficiently tracking animal behaviour in an animal shelter has direct lifesaving applications. Individualized care and early recognition of distress in cats are often missed. However, monitoring behaviour is a challenge as time and financial resources are often limited, and the size and needs of animal populations…
Hamid Taghipourbibalan, James Edgar McCutcheon
Conventional approaches for studying feeding and reward-driven behaviours require frequent animal handling or relocation of animals to specialized chambers, inducing stress, confounding behavioural outcomes, and limiting continuous (24/7) data collection. In recent years, the Feeding Experimentation Device (FED3) has…
Christopher Z. Cui, Taylor W. Killian, Prithviraj Ammanabrolu
Reasoning in Large Language Models (LLMs) poses a challenge for oversight as many misaligned behaviors do not surface until reasoning concludes. To address this, we introduce Behavior Cue Reasoning for making LLM reasoning more controllable and monitorable. Behavior Cues are special token sequences that a model is…
Ziqian Zhong, Shashwat Saxena, Aditi Raghunathan
Existing approaches to monitoring AI agents rely on supervised evaluation: human-written rules or LLM-based judges that check for known failure modes. However, novel misbehaviors may fall outside predefined categories entirely and LLM-based judges can be unreliable. To address this, we formulate unsupervised…
Nesreen K. Ahmed, Nima Nafisi
Monitoring autonomous large language model (LLM) agents for covert malicious behavior is challenging due to delayed, context-dependent, and long-horizon attack patterns. Agents may pursue hidden objectives while maintaining superficially benign behavior, making detection difficult even with full trajectory access.…
Qingqing Liu, Xing Yang, Ru Song, Junying Su + 3 more
'Jinling Zhong' 'Liping Wang'] Key requirements of successful animal behavior research in the laboratory are robustness, objectivity, and high throughput, which apply to both the recording and analysis of behavior. Many automatic methods of monitoring animal behavior meet these requirements. However, they usually…
Serena S. Serbinowska, Nicholas Potteiger, Anne M. Tumlin, Taylor T. Johnson
'Taylor T. Johnson'] Behavior Trees (BTs) are high level controllers that have found use in a wide range of robotics tasks. As they grow in popularity and usage, it is crucial to ensure that the appropriate tools and methods are available for ensuring they work as intended. To that end, we created a new methodology by…
Erin G. Wessling, Martin Surbeck
Wildlife population monitoring depends on accurate counts of individual animals or artefacts of behavior (e.g., nests or dung), but also must account for potential biases in the likelihood to encounter these animals or artefacts. In indirect surveying, which depends largely upon artefacts of behavior, likelihood to…
Dinh An Ngo, Thanh Dat Nguyen, Thi Le Dang, Huy Hoan Le + 3 more
Examinations Authors: ['Dinh An Ngo' 'Thanh Dat Nguyen' 'Thi Le Dang' 'Huy Hoan Le' 'Ton Bao Ho' 'Vo Thanh Khang Nguyen' 'Truong Thanh Hung Nguyen'] Cheating in online exams has become a prevalent issue over the past decade, especially during the COVID-19 pandemic. To address this issue of academic dishonesty, our…
Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis + 2 more
'Darius Plonis' 'Gabriela Vdoviak' 'Munir Ahmad'] This study presents a novel method for automatically recognizing honeybee behavior patterns at the hive entrance, significantly contributing to beekeeping and hive management. Utilizing advanced YOLOv8 models for detection and segmentation, our approach analyzes various…
John C. Bowler, George Zakka, Hyun Choong Yong, Wenke Li + 4 more
Investigators conducting behavioral experiments often need precise control over the timing of the delivery of stimuli to subjects and to collect the precise times of the subsequent behavioral responses. Furthermore, investigators want fine-tuned control over how various multi-modal cues are presented. behaviorMate…
Scott Nunes
Field studies of behavior provide insight into the expression of behavior in its natural ecological context and can serve as an important complement to behavioral studies conducted in the lab under controlled conditions. In addition to naturalistic observations, behavioral testing can be an important component of field…
Deri Natria, Samian, Corina D. Riantoputra, Rogis Baker
Accountability is an imperative element of organizations that Human Resource Management establishes as a behavior guideline. It encourages employees to be responsible for decisions and actions they took. Employing Social Cognitive theory, this study aims to investigate the mechanism of how formalization influences…
Kenneth R. Johnson, John V. Tucker, Victoria Wang
Our machines, products, utilities, and environments have long been monitored by embedded software systems. Our professional, commercial, social and personal lives are also subject to monitoring as they are mediated by software systems. Data on nearly everything now exists, waiting to be collected and analysed for all…
Georgin Jacob, Harish Katti, Thomas Cherian, Jhilik Das + 2 more
Macaque monkeys are widely used to study the neural basis of cognition. In the traditional approach, the monkey is brought into a lab to perform tasks while it is restrained to obtain stable gaze tracking and neural recordings. This unnatural setting prevents studying brain activity during natural, social and complex…
Benjamin Voloh, Benjamin R. Eisenreich, David J-N. Maisson, R. Becket Ebitz + 3 more
Primatologists, psychologists and neuroscientists have long hypothesized that primate behavior is highly structured. However, fully delineating that structure has been impossible due to the difficulties of precision behavioral tracking. Here we analyzed a dataset consisting of continuous measures of the 3D position of…
Marlon Navia, Jose C. Campelo, Alberto Bonastre, Rafael Ors + 3 more
'Juan V. Capella' 'Juan J. Serrano' 'Leonhard Reindl'] Several systems have been proposed to monitor wireless sensor networks (WSN). These systems may be active (causing a high degree of intrusion) or passive (low observability inside the nodes). This paper presents the implementation of an active hybrid (hardware and…
Georgin Jacob, Harish Katti, Thomas Cherian, Jhilik Das + 4 more
Macaque monkeys are widely used to study vision. In the traditional approach, monkeys are brought into a lab to perform visual tasks while they are restrained to obtain stable eye tracking and neural recordings. Here, we describe a novel environment to study visual cognition in a more natural setting as well as other…
Jumpei Matsumoto, Takaaki Kaneko, Kei Kimura, Salvador Blanco Negrete + 11 more
Given their high sociality and close evolutionary distance to humans, monkeys are an essential animal model for unraveling the biological mechanisms underlying human social behavior and elucidating the pathogenesis of diseases exhibiting abnormal social behavior. However, behavioral analysis of naturally behaving…
Shengtian Yang, Yue Feng, Y. Liu, Zhang + 2 more
Video Anomaly Detection (VAD) aims to locate unusual activities or behaviors within videos. Recently, offline VAD has garnered substantial research attention, which has been invigorated by the progress in large language models (LLMs) and vision-language models (VLMs), offering the potential for a more nuanced…
Ricardo Villalba-Briones, Grecia Robles, Eliana Belén Molineros
Wildlife monitoring provides essential information for research, management, and release of rehabilitated animals. A handmade backpack with a tracker connected to a smartphone through Bluetooth signal was used to track rescued and rehabilitated two-toed sloths, Choloepus hoffmanni. The design of the equipment consisted…
Rama El-khawaldeh, Mason Guy, Finn Bork, Nina Taherimakhsousi + 6 more
This work presents a generalizable computer vision (CV) and machine learning model that is used for automated real-time monitoring and control of a diverse array of workup processes. Our system simultaneously monitors multiple physical parameters (e.g., liquid level, homogeneity, turbidity, solid, residue, and color)…
Authors not listed
The ability to precisely measure photopolymerization kinetics is paramount to controlling curing characteristics and material properties in photocurable systems. However, traditional methods to measure kinetics, such as Fourier- transform infrared spectroscopy (FTIR), are often limited by broadening mechanisms…
Authors not listed
The development of polymer materials for real-world applications requires careful assessment of material degradation over time and under environmental exposure. Such tests often necessitate frequent monitoring of test specimens, which can become burdensome for researchers. In this study, we present the application of a…