Article
Psychology, Biological
Paul I. I. Jaffe, Russell A. A. Poldrack, Robert J. J. Schafer, Patrick G. G. Bissett
Summary: The study presents a deep learning framework to replicate sequences of response times and provides evidence for a stability-flexibility trade-off underlying task-switching costs. The framework captures individual differences in behavior and supports a rational account of switch costs. It can be used to discover interpretable cognitive theories explaining the brain's dynamic behavior.
NATURE HUMAN BEHAVIOUR
(2023)
Article
Psychology, Multidisciplinary
Francesca Ciardo, Davide De Tommaso, Agnieszka Wykowska
Summary: Sensorimotor signaling is a crucial mechanism for human coordination. This study found that when interacting with a robot, human participants showed less variability in their performance when the error made by the robot was human-like, compared to a mechanical failure. However, when the partner was an algorithm, the pattern was reversed. Furthermore, social inclusion was only affected by human-likeness when the partner was a robot.
COMPUTERS IN HUMAN BEHAVIOR
(2022)
Article
Automation & Control Systems
Haohui Huang, Yi Guo, Genke Yang, Jian Chu, Xinwei Chen, Zhibin Li, Chenguang Yang
Summary: This article proposes a motion planning scheme that generates compliant trajectories to track desired contacting forces during interaction. The scheme improves the dynamical system and develops a controller to ensure stability and safety. Simulations and a use case validation demonstrate the effectiveness of the proposed framework.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Psychology, Multidisciplinary
Matan Eshed, Matan Epstein, Ada H. Zohar, Goren Gordon
Summary: This study used social robots to investigate the psychological factors influencing behavior in a novel social interaction, revealing that information-gathering behavior is initially influenced by psychological inflexibility and later by curiosity.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Multidisciplinary Sciences
Manasi Malik, Leyla Isik
Summary: Humans effortlessly recognize social interactions from visual input, and a new relational, graph neural network model called SocialGNN accurately predicts human interaction judgments using relational visual representations.
NATURE COMMUNICATIONS
(2023)
Article
Engineering, Geological
Ali Lashkari, Vahid Jamali
Summary: This study investigated the influence of overall particle shape, mean particle size, initial relative density, and effective normal stress on the soil-geosynthetic interaction through direct shear interface tests. Results showed that higher peak friction angles were mobilized with increases in initial relative density and angularity of sand particles, as well as a decrease in effective normal stress. Additionally, the slip at the interface was found to increase with the initial relative density of sand and regularity of particles, and decrease with increasing mean particle size and effective normal stress.
Article
Chemistry, Multidisciplinary
Jana Lieberz, Simone G. Shamay-Tsoory, Nira Saporta, Timo Esser, Ekaterina Kuskova, Birgit Stoffel-Wagner, Rene Hurlemann, Dirk Scheele
Summary: Loneliness is associated with decreased trust, larger social distances, and lower trustworthiness. Lonely individuals show reduced limbic and striatal activation, as well as weakened functional connectivity between the anterior insula and occipitoparietal regions during initial trust decisions.
Article
Engineering, Mechanical
Hesam Sharghi, Onur Bilgen
Summary: This paper investigates the oscillatory and rotary dynamical response of pendulum-based systems and applies it to wearable devices. Through experimental validation and system identification, the nonlinear dynamical response of the system is found to exhibit various bifurcations, with the initial conditions affecting the steady-state response type.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Psychology, Multidisciplinary
Huiyang Shen, Min Wang
Summary: People's language behaviors towards computer and human partners have been a topic of interest, and this study aimed to investigate whether lexical alignment is influenced by the perceived partner (human or computer) and individuals' social skills. The results showed that lexical alignment was stronger in human-computer interaction (HCI) compared to human-human interaction (HHI). Additionally, participants' social skills predicted lexical alignment in HHI but not in HCI, specifically in terms of protecting partner's dignity and prestige. These findings highlight the potential distinctions in how speakers represent human and computer interlocutors.
COMPUTERS IN HUMAN BEHAVIOR
(2023)
Article
Engineering, Geological
Yimu Guo, Ali Golchin, Michael A. Hicks, Songyu Liu, Guozhu Zhang, Philip J. Vardon
Summary: The effect of temperature on the shear response of a soil-structure interface was investigated through comprehensive testing with a temperature-controlled direct shear device. Boundary conditions including constant normal load, constant normal stiffness, and constant volume were used to simulate the conditions of thermal-active-geo-structures. The strength properties of the interfaces were influenced by heating and cooling, and some effects were observed that could impact the performance of thermo-active structures.
Article
Mathematics, Interdisciplinary Applications
Miao Ouyang, Qianhong Zhang, Zili Chen
Summary: This paper discusses a dynamic version of the Ricker & Beverton-Holt (R & B-H) model, which focuses on a commercial fishery with two populations and considers the effects of stock-recruitment. The study aims to find a stable and balanced strategy for fish catches while maintaining abundant and stable local breeding stocks. The Ricker & Beverton-Holt model combines the Beverton-Holt Logistic equation and Ricker model based on the Allee effect, and the paper provides sufficient conditions for bounded and persistent solutions as well as global asymptotic stability of the equilibrium. Three numerical examples are presented to illustrate the results.
CHAOS SOLITONS & FRACTALS
(2023)
Review
Psychology, Biological
Brian Beckage, Frances C. Moore, Katherine Lacasse
Summary: Social climate models (SCMs) are emerging models that incorporate human behavior into climate models and can better predict the impacts of climate change. This review surveys existing SCMs and provides recommendations for integrating human behavior into climate models.
NATURE HUMAN BEHAVIOUR
(2022)
Article
Engineering, Marine
Tyler Alvis, Abdessattar Abdelkefi
Summary: This study improves the control efficacy of an energy harvesting absorber on a structure experiencing vortex-induced vibrations, base excitation, and a combination of the two by incorporating mechanical amplitude stoppers. The authors develop a nonlinear reduced-order model using modified trilinear spring models to account for impact forces, a modified van der Pol oscillator to represent vortex-induced vibrations, and the Euler-Lagrange principle for the equations of motion. Results show that a soft stopper stiffness and a 5 mm gap achieve the highest power generation from the absorber while significantly reducing the structure's amplitude. By adjusting the stopper's position towards the middle of the absorber, the impact forces' effects are minimized, enabling medium and hard stopper stiffnesses to generate similar power as the soft stopper while enhancing control. Under combined loadings, a 27.5 mm gap and soft stiffnesses provide the most effective configuration due to large oscillations in the synchronization region. Medium stiffness stoppers with small gaps create large aperiodic regions due to high impact forces, and the beating phenomenon is observed when the oscillations are near the stoppers and not overpowering the vibro-impact force.
Article
Computer Science, Cybernetics
Evania L. Fasya, Esther van den Bos, Dirk K. J. Heylen, Mariska E. Kret
Summary: This study explores the relationship between mimicry, person-perception, and social anxiety levels by having participants interact with virtual humans. The results show that participants, regardless of anxiety levels, mimic the virtual humans' smiles, which is associated with increased liking and trust towards the virtual humans.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Green & Sustainable Science & Technology
Jiaqi Ge, Andrea Scalco, Tony Craig
Summary: In recent years, the interest in non-meat diets has grown rapidly in many countries, as it is widely believed that increased meat consumption is associated with higher health risks and environmental impact. However, humans are influenced by others in their decision to eat meat or not. A study using data from the British Social Attitude Survey shows that social influence plays a crucial role in the spread of meat-eating behavior in the British population. The model suggests that to bring about significant changes in meat-eating behavior at a national level, individuals need to be open to influence from others with different behavior and not reinforce their existing behavior when observing others in their social group.
Article
Fisheries
K. B. Kc, N. Bond, E. D. G. Fraser, V. Elliott, T. Farrell, K. McCann, N. Rooney, C. Bieg
FISHERIES MANAGEMENT AND ECOLOGY
(2017)
Article
Multidisciplinary Sciences
John M. Fryxell, Ray Hilborn, Carling Bieg, Katrine Turgeon, Amanda Caskenette, Kevin S. McCann
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2017)
Article
Ecology
Carling Bieg, Kevin S. McCann, Bailey C. McMeans, Neil Rooney, Gordon W. Holtgrieve, Sovan Lek, Ngor Peng Bun, B. K. C. Krishna, Evan Fraser
FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
(2018)
Review
Ecology
Timothy J. Bartley, Kevin S. McCann, Carling Bieg, Kevin Cazelles, Monica Granados, Matthew M. Guzzo, Andrew S. MacDougall, Tyler D. Tunney, Bailey C. McMeans
NATURE ECOLOGY & EVOLUTION
(2019)
Article
Ecology
Bailey C. McMeans, Kevin S. McCann, Matthew M. Guzzo, Timothy J. Bartley, Carling Bieg, Paul J. Blanchfield, Timothy Fernandes, Henrique C. Giacomini, Trevor Middel, Michael D. Rennie, Mark S. Ridgway, Brian J. Shuter
Article
Ecology
Kevin S. McCann, Kevin Cazelles, Andrew S. MacDougall, Gregor F. Fussmann, Carling Bieg, Melania Cristescu, John M. Fryxell, Gabriel Gellner, Brian Lapointe, Andrew Gonzalez
Summary: Nearly 50 years ago, Rosenzweig and Tilman highlighted the destabilizing effects of nutrient addition on food webs and the resulting loss of species diversity and ecosystem function. Current research indicates that nutrient additions can lead to destabilization and loss of stability, particularly in human-impacted regions, due to competitive exclusion of edible plant species. Theoretical models suggest that spatial nutrient transport can amplify instabilities in highly modified landscapes, leading to rapid and expansive ecological disruptions over vast areas.
Article
Biology
Marie K. Gutgesell, Kevin S. McCann, Gabriel Gellner, Kevin Cazelles, Christopher J. Greyson-Gaito, Carling Bieg, Matthew M. Guzzo, Connor P. K. Warne, Charlotte A. Ward, Reilly F. O'Connor, Alexa M. Scott, Brandon C. Graham, Emily J. Champagne, Bailey C. McMeans
Summary: This article explores the role of key food web structures in maintaining stability in variable environments, with a particular focus on the dynamic response of omnivory. The study predicts and demonstrates that dynamic omnivory responses are a potent stabilizing structure in the face of variation.
Article
Biology
Carling Bieg, Gabriel Gellner, Kevin S. Mccann
Summary: Periodic fluctuations in abiotic conditions have significant impacts on the structure and function of ecosystems, as well as food web stability. However, global change is altering the nature of environmental rhythms and biological rates, which may lead to drastic shifts in dynamics and stability.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)