Cyberpsychology, behavior and social networking最新文献

Psychomatics-A Multidisciplinary Framework for Understanding Artificial Minds. 心理数学--理解人工智能的多学科框架。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-07-01 Epub Date: 2024-08-29 DOI: 10.1089/cyber.2024.0409

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":"10.1089/cyber.2024.0409","url":null,"abstract":"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.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"515-523"},"PeriodicalIF":4.2,"publicationDate":"2025-07-01","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}

引用次数: 0

Crowdsourcing Compassion: Humane AI and the Rise of Patient-Led Discovery. 众包同情：人性化的人工智能和患者主导的发现的兴起。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-07-01 Epub Date: 2025-06-09 DOI: 10.1089/cyber.2025.0203

Brenda K Wiederhold

引用次数: 0

Supporting Brainstorming with a Collaborative Platform or a Generative Artificial Intelligence Tool: An Exploratory Study. 用协作平台或生成式人工智能工具支持头脑风暴：一项探索性研究。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-07-01 Epub Date: 2025-06-11 DOI: 10.1089/cyber.2024.0518

Katusha Gerardini, Eleonora Diletta Sarcinella, Francesca Borghesi, Andrea Pozzi, Andrea Gaggioli, Alice Chirico

{"title":"Supporting Brainstorming with a Collaborative Platform or a Generative Artificial Intelligence Tool: An Exploratory Study.","authors":"Katusha Gerardini, Eleonora Diletta Sarcinella, Francesca Borghesi, Andrea Pozzi, Andrea Gaggioli, Alice Chirico","doi":"10.1089/cyber.2024.0518","DOIUrl":"10.1089/cyber.2024.0518","url":null,"abstract":"This study explores the potential of generative artificial intelligence (GAI) versus traditional whiteboards in supporting group brainstorming. Sixteen groups of five members each used Miro (a conventional whiteboard) and DALL-E (an image-based GAI tool), either online or offline, in a 2 × 2 experimental design (online vs. offline; Miro vs. DALL-E). Researchers measured participants' affect (Positive and Negative Affect Schedule), emotions (Aesthetic Emotions Questionnaire), creative self-efficacy, technological readiness (Technology Readiness Survey), user experience (User Experience Questionnaire), flow (Flow State Scale-Short Version), and creativity (fluidity, elaboration, flexibility, and originality). Two independent raters evaluated the groups' ideas for each member. Results showed that DALL-E generated more positive affect, richer esthetic experiences, and higher attractiveness and novelty than Miro, particularly online. A significant interaction effect was found for \"efficiency\" (UX dimension) and \"union action-consciousness\" (flow dimension). Participants felt more creative and preferred working with DALL-E. Moreover, online sessions with DALL-E led to greater idea elaboration. These findings suggest that GAI tools such as DALL-E could reshape and enhance traditional group creativity methods, making them core assets in group collaboration, especially in online settings.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"524-533"},"PeriodicalIF":4.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144265556","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}

引用次数: 0

A Conceptual Framework to Understand the Relationships Between Digital Wellness and Artificial Intelligence. 理解数字健康与人工智能之间关系的概念框架。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-07-01 Epub Date: 2025-06-13 DOI: 10.1089/cyber.2024.0546

Jennifer Laffier, Aalyia Rehman, Madison Westley

引用次数: 0

A Grade for Artificial Intelligence: A Study on School Teachers' Ability to Identify Assignments Written by Generative Artificial Intelligence. 人工智能成绩：学校教师识别生成式人工智能作业能力的研究。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-07-01 Epub Date: 2025-06-05 DOI: 10.1089/cyber.2024.0524

Maria Concetta Carruba, Alba Caiazzo, Chiara Scuotto, Lucrezia Savioni, Stefano Triberti

{"title":"A Grade for Artificial Intelligence: A Study on School Teachers' Ability to Identify Assignments Written by Generative Artificial Intelligence.","authors":"Maria Concetta Carruba, Alba Caiazzo, Chiara Scuotto, Lucrezia Savioni, Stefano Triberti","doi":"10.1089/cyber.2024.0524","DOIUrl":"10.1089/cyber.2024.0524","url":null,"abstract":"Artificial intelligence (AI) is rapidly advancing across various sectors, including education. However, AI in education raises ethical concerns, for example, regarding the originality of students' homework, which could affect both learning outcomes and student-teacher's trust. Despite AI's potential benefits, many teachers feel skeptical about its use, fearing that students may use it unfairly. This study aims to explore teachers' ability to assess the originality of student assignments and identify AI-generated content, taking into consideration teachers' expertise, self-efficacy, and personality. A sample of 67 middle and high-school teachers evaluated six short assignments, half written by real students and half by AI (ChatGPT 3.5). t Tests and analysis of variance were conducted to compare the identification accuracy of assignments and the relationship with teachers' expertise, and regressions were performed to examine the relationships between identification accuracy, personality traits, and self-efficacy in detecting originality. Teachers were able to identify AI-generated assignments but struggled with student-generated ones. Furthermore, teachers with more expertise exhibited a potential bias against students, mistakenly identifying their work as AI-generated. While teachers were able to evaluate assignments objectively, openness and conscientiousness predicted their self-efficacy in assessing originality. We discuss how educators may learn new opportunities to use generative AI to promote learning and engagement. Although students may leverage AI to minimize their workload, AI represents a way to support them during the learning process, if it is developed taking into account students' and teachers' needs and characteristics.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"489-496"},"PeriodicalIF":4.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144224642","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}

引用次数: 0

VR for Hope: A Virtual Reality Protocol to Enhance Hope, Mentalization, and Well-Being in Emerging Adults. 虚拟现实希望：一个虚拟现实协议，以提高希望，心理化，和福祉的新兴成年人。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-07-01 Epub Date: 2025-06-12 DOI: 10.1089/cyber.2025.0210

Osmano Oasi, Chiara Rossi, Daniela Villani, Giuseppe Riva

引用次数: 0

Humane Artificial Intelligence: Psychological, Social, and Ethical Dimensions. 人文人工智能：心理、社会和伦理维度。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-07-01 Epub Date: 2025-06-12 DOI: 10.1089/cyber.2025.0202

Giuseppe Riva, Brenda K Wiederhold, Pietro Cipresso

引用次数: 0

System 0: Transforming Artificial Intelligence into a Cognitive Extension. 系统0：将人工智能转化为认知延伸。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-07-01 Epub Date: 2025-06-12 DOI: 10.1089/cyber.2025.0201

Massimo Chiriatti, Marianna Bergamaschi Ganapini, Enrico Panai, Brenda K Wiederhold, Giuseppe Riva

{"title":"System 0: Transforming Artificial Intelligence into a Cognitive Extension.","authors":"Massimo Chiriatti, Marianna Bergamaschi Ganapini, Enrico Panai, Brenda K Wiederhold, Giuseppe Riva","doi":"10.1089/cyber.2025.0201","DOIUrl":"10.1089/cyber.2025.0201","url":null,"abstract":"This paper introduces \"System 0,\" a conceptual framework for understanding how artificial intelligence functions as a cognitive extension preceding both intuitive (System 1) and deliberative (System 2) thinking processes. As AI systems increasingly shape the informational substrate upon which human cognition operates, they transform from passive tools into active cognitive partners. Building on the Extended Mind hypothesis and Heersmink's criteria for cognitive extension, we argue that AI systems satisfy key conditions for cognitive integration. These include reliability, trust, transparency, individualization, and the ability to enhance and transform human mental functions. However, AI integration creates a paradox: while expanding cognitive capabilities, it may simultaneously constrain thinking through sycophancy and bias amplification. To address these challenges, we propose seven evidence-based frameworks for effective human-AI cognitive integration: Enhanced Cognitive Scaffolding, which promotes progressive autonomy; Symbiotic Division of Cognitive Labor, strategically allocating tasks based on comparative strengths; Dialectical Cognitive Enhancement, countering AI sycophancy through productive epistemic tension; Agentic Transparency and Control, ensuring users understand and direct AI influence; Expertise Democratization, breaking down knowledge silos; Social-Emotional Augmentation, addressing affective dimensions of cognitive work; and Duration-Optimized Integration, managing the evolving human-AI relationship over time. Together, these frameworks provide a comprehensive approach for harnessing AI as a genuine cognitive extension while preserving human agency, critical thinking, and intellectual growth, transforming AI from a replacement for human cognition into a catalyst for enhanced thinking.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"534-542"},"PeriodicalIF":4.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144282807","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}

引用次数: 0

Beyond Prompt Engineering: Exploring Collaborative Dialogue with Generative AI for Problem-Solving. 超越提示工程：探索与生成人工智能协作对话解决问题。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-06-30 DOI: 10.1089/cyber.2024.0614

Sung Hyun Lee, John A Velez, Dae-Won Noh

{"title":"Beyond Prompt Engineering: Exploring Collaborative Dialogue with Generative AI for Problem-Solving.","authors":"Sung Hyun Lee, John A Velez, Dae-Won Noh","doi":"10.1089/cyber.2024.0614","DOIUrl":"https://doi.org/10.1089/cyber.2024.0614","url":null,"abstract":"Since generative AI (GenAI) launched, interactions between humans and artificial intelligence have rapidly evolved. This study explores how discourse practices in human-AI interactions influence collaborative problem-solving with ChatGPT. Grounded in small group dynamics research, the investigation examines whether three discourse practices (i.e., construction, co-construction, and constructive conflict) help users and ChatGPT find common ground (i.e., shared cognition) to effectively and efficiently complete creative writing projects. Participants completed creative writing projects using ChatGPT for a month and subsequently responded to surveys assessing discourse practices, shared cognition, team effectiveness, and concepts from the Technology Acceptance Model (TAM). Results indicate that discourse practices significantly predict shared cognition, which in turn mediates the relationship between discourse practices and perceived team effectiveness. Furthermore, shared cognition positively influences behavioral intentions to use ChatGPT, primarily through its effects on perceived ease of use and perceived usefulness, aligning with TAM predictions. These findings have important implications for understanding users' communication styles, suggesting that principles from human-to-human interactions can and should be applied to AI conversations. The current study proposes that ChatGPT is capable of mirroring and reciprocating these discourse practices, which may open the possibility to begin optimizing dialogue with GenAI similar to the goals of prompt engineering.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144526771","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}

引用次数: 0

Stronger Algorithmic Beliefs Were Associated with More Benign Interpretations in Unideal Online Dating Scenarios. 在不理想的在线约会场景中，更强的算法信念与更良性的解释相关。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-06-19 DOI: 10.1089/cyber.2025.0085

Junwen M Hu,Yoo Jung Oh

{"title":"Stronger Algorithmic Beliefs Were Associated with More Benign Interpretations in Unideal Online Dating Scenarios.","authors":"Junwen M Hu,Yoo Jung Oh","doi":"10.1089/cyber.2025.0085","DOIUrl":"https://doi.org/10.1089/cyber.2025.0085","url":null,"abstract":"Communication scholars have approached heterogeneous experiences in romantic interactions online from the perspective of algorithmic beliefs. People with higher algorithmic beliefs trust more that algorithms can help them find compatible matches in online dating. Such algorithmic beliefs have been theorized to have their effect through the mechanism of self-fulfilling prophecy. The current study offers a more granular test of the underlying cognitive and emotional mechanisms using a scenario-based design. Undergraduate students (N = 101) who had online dating experiences were randomly assigned to report reactions to 4 of 24 unideal online dating scenarios, producing 404 observation points. Crossed random effects modeling found that participants with higher algorithmic beliefs had more positive interpretations and fewer negative interpretations in unideal online dating situations. However, algorithmic beliefs were not related to distress. Findings suggest that algorithmic beliefs may enhance online dating experiences through facilitating more adaptive appraisal processes and offer insights for potential interventions against online dating burnout.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"44 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319998","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}

引用次数: 0