Giuseppe Riva, Fabrizia Mantovani, Brenda K Wiederhold, Antonella Marchetti, Andrea Gaggioli
{"title":"Psychomatics-A Multidisciplinary Framework for Understanding Artificial Minds.","authors":"Giuseppe Riva, Fabrizia Mantovani, Brenda K Wiederhold, Antonella Marchetti, Andrea Gaggioli","doi":"10.1089/cyber.2024.0409","DOIUrl":"https://doi.org/10.1089/cyber.2024.0409","url":null,"abstract":"<p><p>Although large language models (LLMs) and other artificial intelligence systems demonstrate cognitive skills similar to humans, such as concept learning and language acquisition, the way they process information fundamentally differs from biological cognition. To better understand these differences, this article introduces Psychomatics, a multidisciplinary framework bridging cognitive science, linguistics, and computer science. It aims to delve deeper into the high-level functioning of LLMs, focusing specifically on how LLMs acquire, learn, remember, and use information to produce their outputs. To achieve this goal, Psychomatics will rely on a comparative methodology, starting from a theory-driven research question-is the process of language development and use different in humans and LLMs?-drawing parallels between LLMs and biological systems. Our analysis shows how LLMs can map and manipulate complex linguistic patterns in their training data. Moreover, LLMs can follow Grice's Cooperative principle to provide relevant and informative responses. However, human cognition draws from multiple sources of meaning, including experiential, emotional, and imaginative facets, which transcend mere language processing and are rooted in our social and developmental trajectories. Moreover, current LLMs lack physical embodiment, reducing their ability to make sense of the intricate interplay between perception, action, and cognition that shapes human understanding and expression. Ultimately, Psychomatics holds the potential to yield transformative insights into the nature of language, cognition, and intelligence, both artificial and biological. Moreover, by drawing parallels between LLMs and human cognitive processes, Psychomatics can inform the development of more robust and human-like artificial intelligence systems.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142105206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chiara Pupillo, Irene Alice Margherita Chicchi Giglioli, Stefano De Gaspari, Giuseppe Riva
{"title":"Detecting Cognitive Flexibility Deficits in Aging: A Novel Approach Using Virtual Reality And Artificial Intelligence.","authors":"Chiara Pupillo, Irene Alice Margherita Chicchi Giglioli, Stefano De Gaspari, Giuseppe Riva","doi":"10.1089/cyber.2024.27109.ceu","DOIUrl":"https://doi.org/10.1089/cyber.2024.27109.ceu","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142055169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eleonora Noselli, Giuseppe Riva, Daniele Di Lernia
{"title":"Enhanced-Beat: Interoceptive-Focused Virtual Reality for Enhanced Well-Being in Healthy and Clinical Populations.","authors":"Eleonora Noselli, Giuseppe Riva, Daniele Di Lernia","doi":"10.1089/cyber.2024.0378","DOIUrl":"10.1089/cyber.2024.0378","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"606-608"},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141632931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Asier Adriasola, Sergio C Torres, Yolanda Cañada, Irene Alice Chicchi Giglioli, Ana García-Blanco, Pilar Sierra, María López-Cerveró, Blanes Rodríguez Chloe, Pablo Navalón, Alcañiz Raya Mariano
{"title":"Assessing Executive Functioning in Schizophrenia: Concurrent and Discriminative Validity of a Novel Virtual Cooking Task.","authors":"Asier Adriasola, Sergio C Torres, Yolanda Cañada, Irene Alice Chicchi Giglioli, Ana García-Blanco, Pilar Sierra, María López-Cerveró, Blanes Rodríguez Chloe, Pablo Navalón, Alcañiz Raya Mariano","doi":"10.1089/cyber.2023.0443","DOIUrl":"10.1089/cyber.2023.0443","url":null,"abstract":"<p><p>Deficits in executive functions (EF) are strongly related to real-life functioning and negative symptoms (NS) in schizophrenia. Recently, virtual reality has enabled more ecologically valid approaches to assess EF in simulated \"real-life\" scenarios among which the virtual cooking task (VCT) has gained attention. However, the clinical implications of the VCT in schizophrenia have not been investigated exhaustively. In this study, clinically stable individuals with schizophrenia (<i>n</i> = 38) and healthy controls (<i>n</i> = 42) completed a novel VCT and a set of computerized standard EF tools (CST) to primarily investigate concurrent and discriminant validity. In addition, the study explored links between EF assessments, functioning, and NS while controlling for antipsychotic intake, clinical stability, and age. This VCT consisted of four tasks with increasing difficulty and time constraints. The most relevant findings indicate that (1) the VCT showed moderate to strong correlations with CST, (2) the VCT discriminated EF performance between both the groups, (3) the VCT predicted interpersonal functioning, and (4) the VCT predicted NS in greater extent than CST. Accordingly, the findings give support to the concurrent and discriminant validity of the VCT to assess EF and indicate its value to deepen the study of collateral functional deficits and NS in schizophrenia.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"571-581"},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141300283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Parsing Platforms: Natural Language Processing and Public Mental Health.","authors":"Brenda K Wiederhold","doi":"10.1089/cyber.2024.0386","DOIUrl":"10.1089/cyber.2024.0386","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"521-523"},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141632934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of National Lockdown Measures on the Association Between Social Media Use and Sleep Disturbance During COVID-19: A Meta-Analysis of 21 Nations.","authors":"Cecilia Cheng, Sihui Chen, Si Chen","doi":"10.1089/cyber.2023.0571","DOIUrl":"10.1089/cyber.2023.0571","url":null,"abstract":"<p><p>During the COVID-19 pandemic, the extensive lockdown measures implemented for disease mitigation triggered a surge in round-the-clock social media use, giving rise to widespread concerns regarding its impact on sleep health. This meta-analysis examined the association between social media use and sleep disturbance during the pandemic, along with potential moderators. The dataset included 43 independent samples comprising 68,247 residents of 21 countries across 7 world regions. The three-level mixed-effects meta-analysis revealed a weak, positive overall effect size (<i>r</i> = 0.1296, 95% confidence interval: 0.0764-0.1828, <i>k</i> = 90). The magnitude of the effect size varied by the type of social media use: compulsive use exhibited a moderately strong effect size, whereas information-focused use showed marginal significance. The effect size was more pronounced in countries imposing stricter (vs. less strict) lockdown measures. Lockdown status also moderated this association, with a marginally significant effect size observed during lockdowns but a significant effect size after lockdowns. For demographics, samples involving emerging adults demonstrated moderately strong effect sizes, whereas those involving the general population had modest effect sizes. Notably, the interaction between the type of social media use and lockdown status was significant. Specifically, the positive association with information-focused use was significant only during lockdowns, whereas that with general use was significant after, but not during, lockdowns. However, compulsive use showed a moderately strong effect size both during and after lockdowns. These findings underscored the importance of considering multiple factors-such as the type of social media use, context, and demographics-when studying social media use and sleep health.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"527-538"},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141445860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiple Facets of Rejections in Online Dating: Exploring Types, Reasons, and Impact.","authors":"Tess van der Zanden, Janneke M Schokkenbroek","doi":"10.1089/cyber.2023.0751","DOIUrl":"10.1089/cyber.2023.0751","url":null,"abstract":"<p><p>Romantic rejections are a hurtful yet common occurrence in online dating. While research in this area is growing, there is a need for a comprehensive and comparative overview to understand these rejection experiences better. This article presents the results of two cross-sectional survey studies that aimed to create a more comprehensive overview of multiple facets of rejections in online dating, particularly the types of rejections used, the (provided) reasons for rejecting, and the painfulness of being rejected. Results of Study 1 (<i>n</i> = 177) show that ghosting was the most often experienced rejection type, even when a considerable number of messages was exchanged before the rejection. Unmatching/blocking and rejections with an explanation occurred less but equally often. Moreover, individuals who experienced rejections with an explanation reported the highest painfulness rates, which raised important questions about the reasons behind such explicit rejections. Study 2 further unpacked the provided rejection reasons, from the rejecter and the rejectee perspective. Five categories were identified among the reasons, such as (lack of) attraction and reasons related to relationship investment. Several interesting discrepancies that emerged between reasons provided by rejecters versus rejectees are discussed. Our work underlines the multifaceted nature of rejection experiences in online dating and sets directions for future research that further explores the relationships between rejection types, reasons, and painfulness in detail.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"582-587"},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141533918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Psychological and Brain Responses to Artificial Intelligence's Violation of Community Ethics.","authors":"Yue He, Ruolei Gu, Guangzhi Deng, Yongling Lin, Tian Gan, Fang Cui, Chao Liu, Yue-Jia Luo","doi":"10.1089/cyber.2023.0524","DOIUrl":"10.1089/cyber.2023.0524","url":null,"abstract":"<p><p>Human moral reactions to artificial intelligence (AI) agents' behavior constitute an important aspect of modern-day human-AI relationships. Although previous studies have mainly focused on autonomy ethics, this study investigates how individuals judge AI agents' violations of community ethics (including betrayals and subversions) compared with human violations. Participants' behavioral responses, event-related potentials (ERPs), and individual differences were assessed. Behavioral findings reveal that participants rated AI agents' community-violating actions less morally negative than human transgressions, possibly because AI agents are commonly perceived as having less agency than human adults. The ERP N1 component showed the same pattern with moral rating scores, indicating the modulation effect of human-AI differences on initial moral intuitions. Moreover, the level of social withdrawal correlated with a smaller N1 in the human condition but not in the AI condition. The N2 and P2 components were sensitive to the difference between the loyalty/betrayal and authority/subversion domains but not human/AI differences. Individual levels of moral sense and autistic traits also influenced behavioral data, especially on the loyalty/betrayal domain. In our opinion, these findings offer insights for predicting moral responses to AI agents and guiding ethical AI development aligned with human moral values.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"562-570"},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140956396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elena Del Fante, Francesca Piovesan, Pietro Sarasso, Paolo Barbieri, Maria-Chiara Villa, Katiuscia Sacco, Irene Ronga
{"title":"Virtual Social Interaction in a Multiplayer-Online Video Game Increases Implicit Learning: An EEG Study.","authors":"Elena Del Fante, Francesca Piovesan, Pietro Sarasso, Paolo Barbieri, Maria-Chiara Villa, Katiuscia Sacco, Irene Ronga","doi":"10.1089/cyber.2023.0336","DOIUrl":"10.1089/cyber.2023.0336","url":null,"abstract":"<p><p>It is well known that social interaction enhances learning processes, improving abilities such as attention and memorization. However, it is not clear whether similar advantages may be obtained even in virtual environments. Here, we investigate whether virtual interactions in a video game, similarly to real-life social interactions, may improve individuals' performance in a subsequent implicit learning task. Twenty-one healthy participants were asked to play a cooperative video game for 20 minutes in three different gaming modalities: alone (<i>Single-Player</i>); together with someone without verbal interactions (<i>Multi-Player -</i>); and with someone with verbal interactions (<i>Multi-Player +</i>). After each gaming session, participants were presented with an EEG paradigm directed to measure mismatch negativity (MMN) responses, a well-validated index of implicit learning. MMN responses were significantly larger following <i>Multi-Player +</i>, as compared with <i>Single-Player, and Multi-Player -</i> conditions. No significant difference was found between <i>Single-Player,</i> and <i>Multi-Player -</i> conditions. These results indicate that implicit learning processes are enhanced following communicative virtual interactions. Verbal interaction in a virtual environment seems necessary to elicit social copresence and its positive effects on learning performances. This finding may have important implications for the design of virtual rehabilitation protocols and distance learning programs.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"599-605"},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141436656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Whom Does Remote Work Make Happy? The Digital Divide in Remote Workers' Well-Being.","authors":"Jennifer Ihm, Yunjin Kim, Chul-Joo Lee","doi":"10.1089/cyber.2023.0744","DOIUrl":"10.1089/cyber.2023.0744","url":null,"abstract":"<p><p>The global shift to remote work during the COVID-19 pandemic has intensified scholarly attention to remote workers' well-being. Although existing studies explore the varied impacts of remote work, there is a gap in understanding remote workers' well-being through the lenses of social disparity and the digital divide. Extending digital divide scholarship to the remote work context, this study disentangles why some remote workers experience better well-being than others. We conducted a two-wave longitudinal panel study in South Korea during the COVID-19 pandemic (Wave 1: February 2021, Wave 2: October 2021). Among the 501 participants who participated in both waves, we found that individuals with lower education levels were less likely to have remote work opportunities. We focused our further analyses on a subset of 144 employees who had remote work opportunities within organizations with typical hierarchical structures. We found that socioeconomic status (SES) did not directly influence remote workers' well-being but indirectly influenced it by contributing to the diversity in using information and communication technologies (ICTs). Workers with higher SES or more diversity in using ICTs demonstrated lower vulnerability and more effectiveness in maintaining their well-being in virtual organizational communication situations. This study highlights social disparities in remote workers' well-being, which arise from the complex interplay of SES either indirectly influencing the diversity in ICT usage or interacting with virtual organizational communication satisfaction and duration. This study advances remote work scholarship by restructuring theoretical discussions on social stratification and the digital divide reproduced within the evolving work environment.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"550-561"},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141445863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}