Article
Computer Science, Artificial Intelligence
Liang Bai, Yunxiao Zhao, Jiye Liang
Summary: The self-supervised spectral clustering algorithm addresses the deficiencies of traditional spectral clustering by introducing exemplar constraints, showing high efficiency and effectiveness. Experiments demonstrate that the algorithm can discover high-quality cluster structures in data sets without prior information.
PATTERN RECOGNITION
(2022)
Article
Multidisciplinary Sciences
Alex Kafkas, Travorn Brown, Nifemi Olusola, Chaodong Guo
Summary: Memory is reconstructive and prone to errors, resulting in common memory illusions. Studying memory illusions can help understand how memory works. Pupil response has been considered as an indicator of memory encoding and retrieval, but its validity as a measure of memory success is still debated. This study found that pupil response patterns can differentiate true from false memories, and variations in the temporal dynamics of pupil response can elucidate the mechanisms underlying false memory creation. These insights have implications for theoretical frameworks and real-world contexts.
SCIENTIFIC REPORTS
(2023)
Article
Business
Sascha Raithel, Stefan J. Hock, Alexander Mafael
Summary: This study is the first comprehensive investigation into recall effectiveness, analyzing a wider range of product categories and identifying relevant managerial factors and underlying psychological processes. The research shows that remedy choice, incident likelihood, and firm reputation interact to influence recall effectiveness. Specifically, offering full remedy enhances recall effectiveness for high reputation firms, and recalls with high incident likelihood are more effective for high reputation firms. These nuanced findings provide actionable guidelines for firms to improve recall effectiveness.
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE
(2023)
Article
Computer Science, Artificial Intelligence
Zi-Ming Wang, Meng-Han Li, Gui-Song Xia
Summary: The article introduces a new texture synthesis model called conditional generative ConvNet (cgCNN) model, which combines deep statistics and the probabilistic framework. The model learns the weights of ConvNets for each input exemplar instead of relying on pre-trained models, and can synthesize high quality dynamic, sound and image textures in a unified manner.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Psychology
Oakyoon Cha, Randolph Blake, Isabel Gauthier
Summary: People can more accurately judge the diversity within object arrays with experience, especially for common objects and objects of expertise like faces. However, not all specific exemplar practice results in better diversity judgments for object categories.
ATTENTION PERCEPTION & PSYCHOPHYSICS
(2021)
Article
Computer Science, Software Engineering
Mohan Zhang, Jing Liao, Jinhui Yu
Summary: In this research, a deep-learning framework for exemplar-based 3D model recoloring is proposed. The framework achieves high-quality semantic-level color transfer by finding semantic correspondences between images, and generates seamless and coherent textures by utilizing the UV mapping of 3D models.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Computer Science, Information Systems
An-Qi Bi, Xiao-Yang Tian, Shui-Hua Wang, Yu-Dong Zhang
Summary: This article introduces a novel model named DT-EFER for dynamic facial emotion recognition from online videos. By combining deep neural networks with transfer learning theory, the model extracts deep features of key images using GoogLeNet and focuses on the differences between these images to improve recognition performance. Experimental results demonstrate the efficiency of the proposed DT-EFER model on two datasets.
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
(2022)
Article
Economics
Janina A. Hoffmann, Ann-Katrin Hosch
Summary: When forming global impressions, the first, last, and most outstanding experiences have a lasting impact on the final evaluation of an event. Evidence suggests that individuals reconstruct their evaluations by retrieving previous experiences from memory instead of updating their impression online. However, recent studies question the predictability of global evaluations on an individual level based on memory retrieval.
JOURNAL OF ECONOMIC PSYCHOLOGY
(2023)
Article
Computer Science, Software Engineering
Fangzhou Han, Shuquan Ye, Mingming He, Menglei Chai, Jing Liao
Summary: In this article, we propose a one-shot 3D portrait style transfer framework that can generate 3D face models with exaggerated geometry and stylized texture while preserving the identity from the original content. Our method only requires one arbitrary style image instead of a large set of training examples and provides fully parameterized and disentangled geometry and texture outputs. It also enables further graphics applications with the 3D representations and outperforms existing methods in various artistic styles.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Computer Science, Artificial Intelligence
Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye
Summary: EPruner is an automatic and efficient pruning approach that simplifies algorithm design by introducing adaptive exemplar filters. It breaks the dependency on training data in determining important filters and allows CPU implementation in seconds.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Johnny K. W. Ho, Johan F. Hoorn
Summary: Modeling the human affective system and applying it to human-robot interaction poses the challenge of handling ambiguous emotional states, probabilistic decisions, and freedom of choice in affective and behavioral patterns. This study attempts a quantum-computational construction of robot affect to address these challenges and provide a system for simulating and handling affective interactions.
SCIENTIFIC REPORTS
(2022)
Article
Psychology, Multidisciplinary
Pnina Stern, Vered Halamish
Summary: The study investigated the effectiveness of two free-recall-based retrieval practice methods for text learning among students with ADHD. Whole-text recall was found to be more beneficial than section recall, and strategies to enhance mental organization of studied materials were recommended for students with ADHD.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Daiva Gostautaite, Jevgenij Kurilov
Summary: This paper discusses the use of exemplar-based approaches for diagnosing and predicting student learning styles, focusing on the integration between computer science and social science (education) in understanding and developing computational models in education.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Artificial Intelligence
Zebin Lin, Wenjie Pei, Fanglin Chen, David Zhang, Guangming Lu
Summary: Typical methods for pedestrian detection focus on tackling occlusions between crowded pedestrians or dealing with various scales. However, detecting pedestrians with diverse appearances remains challenging. This proposed method introduces contrastive learning to guide feature learning by minimizing semantic distance between pedestrians with different appearances while maximizing distance between pedestrians and background. An exemplar dictionary is also constructed to facilitate efficient and effective contrastive learning and evaluate pedestrian proposals.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2023)
Article
Computer Science, Artificial Intelligence
Yaowei Li, Jinshan Pan, Ye Luo, Jianwei Lu
Summary: This paper proposes an exemplar-based method to solve the problem of dynamic scene deblurring, using siamese encoder network and shallow encoder network to extract features and develop a rank module to explore useful features, achieving significant improvements in both quantitative and qualitative evaluations.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2022)
Article
Psychology, Experimental
Arndt Broeder, Sophie Scharf, Marc Jekel, Andreas Gloeckner, Nicole Franke
Summary: The study introduces the iCodes model, which formalizes decision making and information search as coherence-maximization processes, and tests an extended version of the model, with results confirming some predictions.
MEMORY & COGNITION
(2021)
Article
Psychology, Social
Marius Frenken, Wanja Hemmerich, David Izydorczyk, Sophie Scharf, Roland Imhoff
Summary: Research indicates the presence of racial biases in police officer dilemma tasks, leading to faster and less error-prone reactions towards Black targets. The data analysis reveals that the threat of a social group can be explicitly learned and mapped onto a-priori response bias within the model. Additionally, there is evidence of racial bias caused by stereotype-consistent motoric preparations and execution readiness, rather than prejudicial threat biases.
JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY
(2022)
Article
Psychology, Biological
Kai Ruggeri, Amma Panin, Milica Vdovic, Bojana Veckalov, Nazeer Abdul-Salaam, Jascha Achterberg, Carla Akil, Jolly Amatya, Kanchan Amatya, Thomas Lind Andersen, Sibele D. Aquino, Arjoon Arunasalam, Sarah Ashcroft-Jones, Adrian Dahl Askelund, Nelida Ayacaxli, Aseman Bagheri Sheshdeh, Alexander Bailey, Paula Barea Arroyo, Genaro Basulto Mejia, Martina Benvenuti, Mari Louise Berge, Aliya Bermaganbet, Katherine Bibilouri, Ludvig Daae Bjorndal, Sabrina Black, Johanna K. Blomster Lyshol, Tymofii Brik, Eike Kofi Buabang, Matthias Burghart, Asli Bursalioglu, Naos Mesfin Buzayu, Martin Cadek, Nathalia Melo de Carvalho, Ana-Maria Cazan, Melis cetincelik, Valentino E. Chai, Patricia Chen, Shiyi Chen, Georgia Clay, Simone D'Ambrogio, Kaja Damnjanovic, Grace Duffy, Tatianna Dugue, Twinkle Dwarkanath, Esther Awazzi Envuladu, Nikola Erceg, Celia Esteban-Serna, Eman Farahat, R. A. Farrokhnia, Mareyba Fawad, Muhammad Fedryansyah, David Feng, Silvia Filippi, Matias A. Fonolla, Rene Freichel, Lucia Freira, Maja Friedemann, Ziwei Gao, Suwen Ge, Sandra J. Geiger, Leya George, Iulia Grabovski, Aleksandra Gracheva, Anastasia Gracheva, Ali Hajian, Nida Hasan, Marlene Hecht, Xinyi Hong, Barbora Hubena, Alexander Gustav Fredriksen Ikonomeas, Sandra Ilic, David Izydorczyk, Lea Jakob, Margo Janssens, Hannes Jarke, Ondrej Kacha, Kalina Nikolova Kalinova, Forget Mingiri Kapingura, Ralitsa Karakasheva, David Oliver Kasdan, Emmanuel Kemel, Peggah Khorrami, Jakub M. Krawiec, Nato Lagidze, Aleksandra Lazarevic, Aleksandra Lazic, Hyung Seo Lee, Zan Lep, Samuel Lins, Ingvild Sando Lofthus, Lucia Macchia, Salome Mamede, Metasebiya Ayele Mamo, Laura Maratkyzy, Silvana Mareva, Shivika Marwaha, Lucy McGill, Sharon McParland, Anisoara Melnic, Sebastian A. Meyer, Szymon Mizak, Amina Mohammed, Aizhan Mukhyshbayeva, Joaquin Navajas, Dragana Neshevska, Shehrbano Jamali Niazi, Ana Elsa Nieto Nieves, Franziska Nippold, Julia Oberschulte, Thiago Otto, Riinu Pae, Tsvetelina Panchelieva, Sun Young Park, Daria Stefania Pascu, Irena Pavlovic, Marija B. Petrovic, Dora Popovic, Gerhard M. Prinz, Nikolay R. Rachev, Pika Ranc, Josip Razum, Christina Eun Rho, Leonore Riitsalu, Federica Rocca, R. Shayna Rosenbaum, James Rujimora, Binahayati Rusyidi, Charlotte Rutherford, Rand Said, Ines Sanguino, Ahmet Kerem Sarikaya, Nicolas Say, Jakob Schuck, Mary Shiels, Yarden Shir, Elisabeth D. C. Sievert, Irina Soboleva, Tina Solomonia, Siddhant Soni, Irem Soysal, Federica Stablum, Felicia T. A. Sundstrom, Xintong Tang, Felice Tavera, Jacqueline Taylor, Anna-Lena Tebbe, Katrine Krabbe Thommesen, Juliette Tobias-Webb, Anna Louise Todsen, Filippo Toscano, Tran Tran, Jason Trinh, Alice Turati, Kohei Ueda, Martina Vacondio, Volodymyr Vakhitov, Adrianna J. Valencia, Chiara Van Reyn, Tina A. G. Venema, Sanne E. Verra, Jachym Vintr, Marek A. Vranka, Lisa Wagner, Xue Wu, Ke Ying Xing, Kailin Xu, Sonya Xu, Yuki Yamada, Aleksandra Yosifova, Zorana Zupan, Eduardo Garcia-Garzon
Summary: This study examines the relationship between economic inequality and temporal discounting and intertemporal choice anomalies. The findings suggest that economic inequality and broader financial circumstances are correlated with population choice patterns. However, there are no significant differences in temporal discounting and choice anomalies among lower-income groups.
NATURE HUMAN BEHAVIOUR
(2022)
Article
Religion
Suzanne Hoogeveen, Alexandra Sarafoglou, Balazs Aczel, Yonathan Aditya, Alexandra J. Alayan, Peter J. Allen, Sacha Altay, Shilaan Alzahawi, Yulmaida Amir, Francis-Vincent Anthony, Obed Kwame Appiah, Quentin D. Atkinson, Adam Baimel, Merve Balkaya-Ince, Michela Balsamo, Sachin Banker, Frantisek Bartos, Mario Becerra, Bertrand Beffara, Julia Beitner, Theiss Bendixen, Jana B. Berkessel, Renatas Berniunas, Matthew Billet, Joseph Billingsley, Tiago Bortolini, Heiko Breitsohl, Amelie Bret, Faith L. Brown, Jennifer Brown, Claudia C. Brumbaugh, Jacek Buczny, Joseph Bulbulia, Saul Caballero, Leonardo Carlucci, Cheryl L. Carmichael, Marco E. G. Cattaneo, Sarah J. Charles, Scott Claessens, Maxinne C. Panagopoulos, Angelo Brandelli Costa, Damien L. Crone, Stefan Czoschke, Christian Czymara, E. Damiano D'Urso, Orjan Dahlstrom, Anna Dalla Rosa, Henrik Danielsson, Jill De Ron, Ymkje Anna de Vries, Kristy K. Dean, Bryan J. Dik, David J. Disabato, Jaclyn K. Doherty, Tim Draws, Lucas Drouhot, Marin Dujmovic, Yarrow Dunham, Tobias Ebert, Peter A. Edelsbrunner, Anita Eerland, Christian T. Elbaek, Shole Farahmand, Hooman Farahmand, Miguel Farias, Abrey A. Feliccia, Kyle Fischer, Ronald Fischer, Donna Fisher-Thompson, Zoe Francis, Susanne Frick, Lisa K. Frisch, Diogo Geraldes, Emily Gerdin, Linda Geven, Omid Ghasemi, Erwin Gielens, Vukasin Gligoric, Kristin Hagel, Nandor Hajdu, Hannah R. Hamilton, Imaduddin Hamzah, Paul H. P. Hanel, Christopher E. Hawk, Karel K. Himawan, Benjamin C. Holding, Lina E. Homman, Moritz Ingendahl, Hilla Inkila, Mary L. Inman, Chris-Gabriel Islam, Ozan Isler, David Izydorczyk, Bastian Jaeger, Kathryn A. Johnson, Jonathan Jong, Johannes A. Karl, Erikson Kaszubowski, Benjamin A. Katz, Lucas A. Keefer, Stijn Kelchtermans, John M. Kelly, Richard A. Klein, Bennett Kleinberg, Megan L. Knowles, Marta Kolczynska, Dave Koller, Julia Krasko, Sarah Kritzler, Angelos-Miltiadis Krypotos, Thanos Kyritsis, Todd L. Landes, Ruben Laukenmann, Guy A. Lavender Forsyth, Aryeh Lazar, Barbara J. Lehman, Neil Levy, Ronda F. Lo, Paul Lodder, Jennifer Lorenz, Pawel Lowicki, Albert L. Ly, Esther Maassen, Gina M. Magyar-Russell, Maximilian Maier, Dylan R. Marsh, Nuria Martinez, Marcellin Martinie, Ihan Martoyo, Susan E. Mason, Anne Lundahl Mauritsen, Phil McAleer, Thomas McCauley, Michael McCullough, Ryan McKay, Camilla M. McMahon, Amelia A. McNamara, Kira K. Means, Brett Mercier, Panagiotis Mitkidis, Benoit Monin, Jordan W. Moon, David Moreau, Jonathan Morgan, James Murphy, George Muscatt, Christof Nagel, Tamas Nagy, Ladislas Nalborczyk, Gustav Nilsonne, Pamina Noack, Ara Norenzayan, Michele B. Nuijten, Anton Olsson-Collentine, Lluis Oviedo, Yuri G. Pavlov, James O. Pawelski, Hannah Pearson, Hugo Pedder, Hannah K. Peetz, Michael Pinus, Steven Pirutinsky, Vince Polito, Michaela Porubanova, Michael J. Poulin, Jason M. Prenoveau, Mark A. Prince, John Protzko, Campbell Pryor, Benjamin G. Purzycki, Lin Qiu, Julian Quevedo Putter, Andre Rabelo, Milen L. Radell, Jonathan E. Ramsay, Graham Reid, Andrew J. Roberts, Lindsey M. Root Luna, Robert M. Ross, Piotr Roszak, Nirmal Roy, Suvi-Maria K. Saarelainen, Joni Y. Sasaki, Catherine Schaumans, Bruno Schivinski, Marcel C. Schmitt, Sarah A. Schnitker, Martin Schnuerch, Marcel R. Schreiner, Victoria Schuttengruber, Simone Sebben, Suzanne C. Segerstrom, Berenika Seryczynska, Uffe Shjoedt, Muge Simsek, Willem W. A. Sleegers, Eliot R. Smith, Walter J. Sowden, Marion Spath, Christoph Sporlein, William Stedden, Andrea H. Stoevenbelt, Simon Stuber, Justin Sulik, Christiany Suwartono, Stylianos Syropoulos, Barnabas Szaszi, Peter Szecsi, Ben M. Tappin, Louis Tay, Robert T. Thibault, Burt Thompson, Christian M. Thurn, Josefa Torralba, Shelby D. Tuthill, Ann-Marie Ullein, Robbie C. M. Van Aert, Marcel A. L. M. van Assen, Patty Van Cappellen, Olmo R. van den Akker, Ine Van der Cruyssen, Jolanda Van der Noll, Noah N. N. van Dongen, Caspar J. Van Lissa, Valerie van Mulukom, Don van Ravenzwaaij, Casper J. J. van Zyl, Leigh Ann Vaughn, Bruno Verschuere, Michelangelo Vianello, Felipe Vilanova, Allon Vishkin, Vera Vogel, Leonie V. D. E. Vogelsmeier, Shoko Watanabe, Cindel J. M. White, Kristina Wiebels, Sera Wiechert, Zachary Z. Willett, Maciej Witkowiak, Charlotte V. O. Witvliet, Dylan Wiwad, Robin Wuyts, Dimitris Xygalatas, Xin Yang, Darren J. Yeo, Onurcan Yilmaz, Natalia Zarzeczna, Yitong Zhao, Josjan Zijlmans, Michiel van Elk, Eric-Jan Wagenmakers
Summary: The relation between religiosity and well-being was investigated using a new cross-cultural dataset, and the results showed that most teams reported a positive relationship, with religiosity being associated with higher levels of well-being. Additionally, the results indicated that the relation between religiosity and well-being varied depending on the cultural norms of religion.
RELIGION BRAIN & BEHAVIOR
(2023)
Article
Psychology, Experimental
Arndt Broder, Elena Dulz, Daphne Heidecke, Anna Wehler, Frieda Weimann
Summary: Laypeople often lack accurate knowledge about carbon footprints, which hinders efforts to reduce CO2 emissions. In an online study, even a highly educated sample significantly underestimated the carbon footprints of different food items. However, providing target carbon footprint values for some items led to a substantial improvement in participants' estimates. This suggests that seeding knowledge could be an effective and low-cost intervention to improve public's quantitative knowledge.
APPLIED COGNITIVE PSYCHOLOGY
(2023)
Article
Psychology, Mathematical
David Izydorczyk, Arndt Broeder
Summary: This study demonstrates how cues and cue values of complex naturalistic stimuli can be extracted from similarity ratings using multidimensional scaling analysis, and successfully applied to a numerical judgment model.
PSYCHONOMIC BULLETIN & REVIEW
(2023)
Article
Psychology, Multidisciplinary
David Izydorczyk, Arndt Broeder
Summary: The study presents a hierarchical Bayesian implementation of the RulEx-J model for quantifying the relative contribution of rule- and exemplar-based processes in numerical judgments. Simulation studies and a validation experiment demonstrate the accuracy, robustness, and practicality of the model.
DECISION-WASHINGTON
(2023)
Article
Psychology, Experimental
Monika Undorf, Arndt Broeder
Summary: The accuracy of metacognitive judgments for naturalistic pictures is supported by various cues, including intrinsic picture attributes and extrinsic aspects of the study situation. This demonstrates parallels between metamemory for naturalistic scenes and verbal materials.
MEMORY & COGNITION
(2021)
Article
Psychology, Experimental
Arndt Broeder, Christine Platzer, Daniel W. Heck
Summary: In memory-based decisions, salient attributes are often not ignored, even if they are less valid. The main experiment replicated the salience effect at the strategy selection level, but did not replicate the reaction time interaction between strategy and condition.
JOURNAL OF COGNITIVE PSYCHOLOGY
(2021)
Article
Psychology, Multidisciplinary
Brunna Tuschen-Caffier, Julia Engel, Stefan Koch, Tanja Kollei, Arndt Broeder, Werner Greve, Iring Koch, Barbara Krah, Wilfried Kunde, Jens Moeller, Winfried Rief, Manfred Schmitt, Bernhard Strauss, Rolf van Dick, Oliver Tobias Wolf
PSYCHOLOGISCHE RUNDSCHAU
(2020)
Article
Psychology, Multidisciplinary
Markus Appel, David Izydorczyk, Silvana Weber, Martina Mara, Tanja Lischetzke
COMPUTERS IN HUMAN BEHAVIOR
(2020)