Article
Psychiatry
Khansa Charaf, Mohamed Agoub, Driss Boussaoud
Summary: This study investigates the impairment of associative learning and facial expression recognition in schizophrenia patients. The results show that both cognitive abilities are severely affected in patients, with facial expression recognition partially spared and influenced by social presence.
SCHIZOPHRENIA RESEARCH-COGNITION
(2024)
Article
Psychiatry
Rogelio Apiquian, Ricardo Diaz, Gamaliel Victoria, Rosa-Elena Ulloa
Summary: The components of CFT are significantly correlated with each other and with other MCCB tests, particularly those related to verbal learning, working memory, and speed of processing. Additionally, they show moderate correlations with the total PANSS score and with the negative, positive, and cognitive PANSS factors.
SCHIZOPHRENIA RESEARCH-COGNITION
(2024)
Review
Psychology, Multidisciplinary
Hong Zhang, Shiqin Yuan, Fengjiao Zhang, Bin Wang, Xin (Robert) Luo
Summary: This study examines the theoretical foundations and conceptual structure of IT-enabled value co-creation (VCC), revealing seven theoretical perspectives and developing an integrative framework. The research identifies limitations and outlines important areas for further exploration.
COMPUTERS IN HUMAN BEHAVIOR
(2024)
Article
Psychology, Multidisciplinary
Jiali Huang, Zachary H. Pugh, Sangyeon Kim, Chang S. Nam
Summary: This study investigated the effect of mental workload on the causal influence brain regions exert over each other during multitasking. The results showed that with increased workload, causal connections shifted from the left to both sides of the brain, and the connectivity strengths could predict subtask performances. By studying the brain dynamics of mental workload, a predictor that supplements subjective self-report measures can be developed.
COMPUTERS IN HUMAN BEHAVIOR
(2024)
Article
Psychiatry
Przemys law Adamczyk, Joanna Biczak, Katarzyna Kotlarska, Artur Daren, Lukasz Cichocki
Summary: This study found that individuals with schizophrenia have difficulty understanding figurative language and this impairment is related to cognitive deficits. It is not associated with psychotic symptoms or other clinical characteristics.
SCHIZOPHRENIA RESEARCH-COGNITION
(2024)
Article
Behavioral Sciences
Astrid Prochnow, Xianzhen Zhou, Foroogh Ghorbani, Paul Wendiggensen, Veit Roessner, Bernhard Hommel, Christian Beste
Summary: Individuals organize events in their environment by partitioning them into discrete units. This study reveals that the neural activity in the brain plays a critical role in this process, reflecting the key elements of event segmentation.
Review
Behavioral Sciences
Beste Gulsuna, Abuzer Gungor, Alp O. Borcer, Ugur Ture
Summary: The fiber dissection technique has been used to study the internal structures of the brain, with less focus on white matter. The sagittal stratum, a white matter structure, has not received enough attention and has been a subject of controversy. Recent studies suggest potential functions of the sagittal stratum, emphasizing the importance of understanding this structure accurately.
Article
Psychology, Developmental
Luana Serafini, Irene Leo, Francesca Pesciarelli
Summary: Adults often struggle to recognize and differentiate individual faces from racial groups other than their own. This other-race effect originates in infancy, but our understanding of its development is incomplete. We conducted a study on 6-7 year-old children to explore the neural time course of own- and other-race face processing and found that the impact of race on face processing is temporally limited. Implicit and unconscious processing of own- and other-race faces seems to be similar in children, suggesting an immature other-race effect during childhood.
JOURNAL OF EXPERIMENTAL CHILD PSYCHOLOGY
(2024)
Article
Linguistics
Conrad Perry, Rick Evertz, Marco Zorzi, Johannes C. Ziegler
Summary: The article discusses the advantages of computational cognitive models in accurately predicting empirical data and introduces a state-of-the-art technique to simplify complex models. It presents a study on the Connectionist Dual-Process model (CDP) of reading aloud and demonstrates that CDP performs well in predicting variance across different databases, outperforming previous models in the field.
JOURNAL OF MEMORY AND LANGUAGE
(2024)
Article
Psychology, Developmental
Anna -Elisabeth Baumann, Elizabeth J. Goldman, Maria-Gracia M. Cobos, Diane Poulin-Dubois
Summary: This study investigated how 3-year-old children learn from a competent robot versus an incompetent human and establish trust. The results showed that children were more likely to ask the robot for help and correctly judge its accuracy, but equally endorsed the locations pointed at by the robot and the human. This suggests that 3-year-olds are sensitive to the epistemic characteristics of the informant even when its displayed social properties are minimal.
JOURNAL OF EXPERIMENTAL CHILD PSYCHOLOGY
(2024)
Article
Psychology, Developmental
Fiona R. Simmons, Elena Soto-Calvo, Anne-Marie Adams, Hannah N. Francis, Hannah Patel, Courtney Hartley
Summary: This study explored the associations between parental mathematics anxiety and attitudes and children's mathematics attainment in early primary school. The results showed that parental mathematics anxiety and attitudes independently predicted children's mathematics attainment, regardless of the frequency of preschool home number experiences. The study also found that the positive association between preschool home number experiences and children's mathematics attainment was not weaker in the context of high parental mathematics anxiety or negative parental mathematics attitudes.
JOURNAL OF EXPERIMENTAL CHILD PSYCHOLOGY
(2024)
Review
Linguistics
Yasin Kargar, Milad Jalilian
Summary: This article provides a systematic review of how the brain processes language and the functions of white matter tracts related to language. It offers valuable guidance for neuroclinicians and neurosurgeons in diagnosing language impairments and planning treatments.
JOURNAL OF NEUROLINGUISTICS
(2024)
Article
Psychology, Multidisciplinary
Timothy Jung, Justin Cho, Dai-In Danny Han, Sun Joo (Grace) Ahn, Mansi Gupta, Gopal Das, Cindy Yoonjoung Heo, Sandra Maria Correia Loureiro, Marianna Sigala, Mariapina Trunfio, Alexandra Taylor, M. Claudia tom Dieck
Summary: Although the metaverse is still in its early stages, it has the potential to revolutionize the way businesses interact with customers. Service industries are already exploring ways to provide immersive customer experiences through the metaverse. This study examines the untapped potential of the metaverse in service industries, and identifies opportunities such as new experiences, inter-world interactions, and business-consumer relations, as well as challenges including technological limitations, health issues, and data privacy and legal concerns.
COMPUTERS IN HUMAN BEHAVIOR
(2024)
Article
Psychology, Multidisciplinary
Arianna Boldi, Alessandro Silacci, Marc-Olivier Boldi, Mauro Cherubini, Maurizio Caon, Noe Zufferey, Kevin Huguenin, Amon Rapp
Summary: This study examines the potential impact of a commercial wearable activity tracker on users' relationship with their bodies, finding that the device did not influence participants' overall perception of their bodies but increased their bodily sensations, particularly in women.
COMPUTERS IN HUMAN BEHAVIOR
(2024)
Article
Linguistics
Jennifer M. Rodd
Summary: This paper discusses the rapid growth of online data collection in the behavioral sciences and the potential issues that can affect the quality of data in online experiments. The author provides checklists to help researchers improve the data quality and emphasizes three key aspects of experimental design. The author argues that ensuring high data quality for online experiments requires significant effort prior to data collection to maintain the credibility of the evidence base.
JOURNAL OF MEMORY AND LANGUAGE
(2024)
Article
Psychology, Experimental
Joan Danielle K. Ongchoco, Joshua Knobe, Julian Jara-Ettinger
Summary: A study using a block-puzzle experiment found that people can prioritize what to think about based on the value of different options, and can flexibly prioritize high-value or low-value options depending on the situation. Computational modeling showed that these thinking strategies are broadly rational and maximize the value of long-term decisions.
Article
Psychology, Multidisciplinary
Kaiji Zhou, Xiaoqin Zhu, Bin -Bin Chen
Summary: This study investigates the associations between four dyads of social relationships and adolescent Internet addiction, as well as the roles of life satisfaction and life meaning as potential mediators and moderators in these associations. The findings show that father-child relationship is negatively associated with internet addiction, and life satisfaction and life meaning mediate and moderate the association between father-child relationship and internet addiction.
COMPUTERS IN HUMAN BEHAVIOR
(2024)
Article
Psychology, Multidisciplinary
Kyeongwoo Park, Minah Son, Hyein Chang, Sang-Kyu Lee
Summary: This study found that gaming time partially mediated the relationship between stress and problematic game use. The number and types of non-digital hobbies did not universally moderate these relationships, but showed sex-specific patterns. Active hobbies, such as exercise, moderated the relationship between stress and problematic game use in men, while passive hobbies, such as art, had the same effect in women. These findings suggest the importance of tailored intervention strategies based on individual characteristics, including gender.
COMPUTERS IN HUMAN BEHAVIOR
(2024)
Article
Psychology, Multidisciplinary
Qiyue Zhang, Hai Liang, Tai-Quan Peng, Jonathan J. H. Zhu
Summary: This study examines the impact of Twitter's temporary suspension of the Retweet function during the 2020 US presidential election. The findings suggest that this change did not effectively increase users' deliberation levels and quality of expression.
COMPUTERS IN HUMAN BEHAVIOR
(2024)
Article
Psychology, Multidisciplinary
Tzu-Ling Huang, Gen-Yih Liao, T. C. E. Cheng, Wei-Xuan Chen, Ching- Teng
Summary: This study applies expectancy-value theory to examine how gaming frustration, gamers' need for achievement, and the expectation of gaming advancement jointly shape in-game achievement satisfaction and increase actual game usage. The evaluation of success probability is found to prominently determine gamers' expected value, enhancing their continued use and gameplay. The study suggests that game makers should design challenging in-game tasks that elicit hope for future achievements to keep users engaged.
COMPUTERS IN HUMAN BEHAVIOR
(2024)
