Pub Date : 2024-09-01Epub Date: 2024-07-09DOI: 10.1089/cyber.2023.0548
Xiaoshan Lu, Xianli An, Siguang Chen
Given that problematic smartphone use (PSU) has been researched for a long time, it becomes necessary to assess how the trends of PSU prevalence have evolved over time. In total, 106 articles from 2012 to 2022 with 109 studies covering 97,748 individuals were included in this systematic review and meta-analysis. The estimation of the global pooled PSU prevalence was 37.1% (95% confidence interval, 33.5 - 40.8%) and the PSU prevalence is growing over time in total. Although the PSU prevalence exhibited wide variation between regions and measurement scales, the increasing trend remained. In addition, the regression slope of the PSU prevalence trend in males was higher than that in females. Males initially had a lower prevalence of PSU than females, but this steadily changed over time until it was greater in males than in females. Moreover, the prevalence of PSU showed an increasing trend across all age groups, with a faster growth rate in the older age group. Considering the aforementioned results, it's necessary to implement proper interventions to do with this phenomenon. In addition, considering the differences in prevalence brought by regions, and measurement scales, in practice and research, we should not only take into account the disparities of PSU between countries or cultures, but also to concern about establishing unified standard and measurement tools to confirm it.
{"title":"Trends and Influencing Factors in Problematic Smartphone Use Prevalence (2012-2022): A Systematic Review and Meta-Analysis.","authors":"Xiaoshan Lu, Xianli An, Siguang Chen","doi":"10.1089/cyber.2023.0548","DOIUrl":"10.1089/cyber.2023.0548","url":null,"abstract":"<p><p>Given that problematic smartphone use (PSU) has been researched for a long time, it becomes necessary to assess how the trends of PSU prevalence have evolved over time. In total, 106 articles from 2012 to 2022 with 109 studies covering 97,748 individuals were included in this systematic review and meta-analysis. The estimation of the global pooled PSU prevalence was 37.1% (95% confidence interval, 33.5 - 40.8%) and the PSU prevalence is growing over time in total. Although the PSU prevalence exhibited wide variation between regions and measurement scales, the increasing trend remained. In addition, the regression slope of the PSU prevalence trend in males was higher than that in females. Males initially had a lower prevalence of PSU than females, but this steadily changed over time until it was greater in males than in females. Moreover, the prevalence of PSU showed an increasing trend across all age groups, with a faster growth rate in the older age group. Considering the aforementioned results, it's necessary to implement proper interventions to do with this phenomenon. In addition, considering the differences in prevalence brought by regions, and measurement scales, in practice and research, we should not only take into account the disparities of PSU between countries or cultures, but also to concern about establishing unified standard and measurement tools to confirm it.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141558335","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}
Pub Date : 2024-09-01Epub Date: 2024-08-09DOI: 10.1089/cyber.2024.0415
Brenda K Wiederhold
{"title":"Monuments and Memorials: A Role for Artificial Intelligence in the Grieving Process.","authors":"Brenda K Wiederhold","doi":"10.1089/cyber.2024.0415","DOIUrl":"10.1089/cyber.2024.0415","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141909794","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}
Pub Date : 2024-09-01Epub Date: 2024-07-17DOI: 10.1089/cyber.2024.0379
Lettie Wareing, Megan Rose Readman, Sally A Linkenauger, Giuseppe Riva
{"title":"The Re-Embodiment Project: Exploring the Role of Interoception and Embodiment in Anorexia Nervosa.","authors":"Lettie Wareing, Megan Rose Readman, Sally A Linkenauger, Giuseppe Riva","doi":"10.1089/cyber.2024.0379","DOIUrl":"10.1089/cyber.2024.0379","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141632935","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}
Pub Date : 2024-09-01Epub Date: 2024-07-26DOI: 10.1089/cyber.2024.0136
Junwen M Hu, Rui Zhu, Yue Zhang
A previous study has found a negative correlation between meeting one's romantic partner in online dating (vs. offline) and marriage quality through a quota sample of the U.S. population. This current study replicates and extends this previous study by analyzing another sample of the U.S. population from the Pew Research Center (N = 2,787). Largely consistent with the previous finding, we found that meeting one's partner in online dating (vs. offline) was marginally related to experiencing less relationship success among people in a marital relationship. However, the difference was not observed among people in a nonmarital romantic relationship. In addition, sharing or discussing one's relationship or dating life (i.e., relationship talks) on social media (RToSM) conditioned the link between meeting venue and relationship success. That is, for marital relationships, meeting in online dating was only linked to less relationship success among people with no RToSM but not among those who had RToSM; for nonmarital relationships, there was a positive link between meeting in online dating and relationship success among those who had RToSM, but this positive link was not observed among those who had no RToSM. We further discuss the implications of our findings on the long-term impact of online dating in marital and nonmarital romantic relationships.
{"title":"Does Online Dating Make Relationships More Successful? Replication and Extension of a Previous Study.","authors":"Junwen M Hu, Rui Zhu, Yue Zhang","doi":"10.1089/cyber.2024.0136","DOIUrl":"10.1089/cyber.2024.0136","url":null,"abstract":"<p><p>A previous study has found a negative correlation between meeting one's romantic partner in online dating (vs. offline) and marriage quality through a quota sample of the U.S. population. This current study replicates and extends this previous study by analyzing another sample of the U.S. population from the Pew Research Center (<i>N</i> = 2,787). Largely consistent with the previous finding, we found that meeting one's partner in online dating (vs. offline) was marginally related to experiencing less relationship success among people in a marital relationship. However, the difference was not observed among people in a nonmarital romantic relationship. In addition, sharing or discussing one's relationship or dating life (i.e., relationship talks) on social media (RToSM) conditioned the link between meeting venue and relationship success. That is, for marital relationships, meeting in online dating was only linked to less relationship success among people with no RToSM but not among those who had RToSM; for nonmarital relationships, there was a positive link between meeting in online dating and relationship success among those who had RToSM, but this positive link was not observed among those who had no RToSM. We further discuss the implications of our findings on the long-term impact of online dating in marital and nonmarital romantic relationships.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141765710","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}
Pub Date : 2024-09-01Epub Date: 2024-08-09DOI: 10.1089/cyber.2024.0413
Brenda K Wiederhold
{"title":"Diverse Minds, Secure Networks: Embracing Neurodiversity in Cybersecurity.","authors":"Brenda K Wiederhold","doi":"10.1089/cyber.2024.0413","DOIUrl":"10.1089/cyber.2024.0413","url":null,"abstract":"","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141906172","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}
Pub Date : 2024-09-01Epub Date: 2024-07-17DOI: 10.1089/cyber.2023.0222
Ali Sepas, Ali Haider Bangash, René Ernst Nielsen, Wah Yang, Alaa El-Hussuna
Recent studies have indicated the potential detrimental psychological effects of Instagram use (IU) and problematic Instagram use (PIU). PIU and IU have been associated with depression, anxiety, and negative general well-being. This study aimed to investigate that correlation through a systematic review and meta-analysis. Seven databases, including PubMed/MEDLINE, were explored in February of 2023. Studies that assessed the association between IU and/or PIU with depression, anxiety, other psychological distresses, and/or general well-being were deemed eligible. The Hunter-Schmidt random effects model and multilevel meta-analysis were applied to assess the outcomes of interest. A total of 1,927 hits were identified with 37 studies included in the quantitative analysis after removal of duplicates and screening of abstracts and full texts, with the total number of participants at 14,305. The obtained correlations between PIU and depression, anxiety, and well-being with 95% confidence interval were found to be r = 0.35, [0.25, 0.44], r = 0.31, [0.22, 0.40], r = -0.17, [-0.24, -0.10], respectively. Similarly, for IU and depression r = 0.11, [0.06, 0.16], p < 0.05 for all of the aforementioned results. The association between IU and anxiety was found to be r = 0.12, [0.04, 0.21], p < 0.05. The present meta-analysis found significant conceptual heterogeneity across the studies included due to different study designs and population heterogeneity. The results show a positive association of PIU and IU with depression, anxiety, and other psychological distress(es). There is a need for robust designed longitudinal research to explore this association.
最近的研究表明,使用 Instagram(IU)和有问题地使用 Instagram(PIU)可能会产生有害的心理影响。PIU和IU与抑郁、焦虑和消极的总体幸福感有关。本研究旨在通过系统综述和荟萃分析来研究这种相关性。研究人员于 2023 年 2 月检索了包括 PubMed/MEDLINE 在内的七个数据库。符合条件的研究均评估了 IU 和/或 PIU 与抑郁、焦虑、其他心理困扰和/或总体幸福感之间的关联。亨特-施密特随机效应模型和多层次荟萃分析被用于评估相关结果。在剔除重复研究、筛选摘要和全文后,共找到 1,927 项研究,其中 37 项研究被纳入定量分析,总参与人数为 14,305 人。结果发现,PIU 与抑郁、焦虑和幸福感之间的相关性(95% 置信区间)分别为 r = 0.35,[0.25,0.44];r = 0.31,[0.22,0.40];r = -0.17,[-0.24,-0.10]。同样,IU 和抑郁的 r = 0.11,[0.06,0.16],上述所有结果的 p <0.05。IU 与焦虑之间的关系为 r = 0.12,[0.04, 0.21],p < 0.05。本荟萃分析发现,由于研究设计不同和人群异质性,所纳入的研究在概念上存在显著异质性。结果显示,PIU 和 IU 与抑郁、焦虑和其他心理困扰呈正相关。需要进行设计稳健的纵向研究来探讨这种关联。
{"title":"The Association between Problematic Instagram Use, Psychological Distress, and Well-Being: A Systematic Review and Meta-Analysis.","authors":"Ali Sepas, Ali Haider Bangash, René Ernst Nielsen, Wah Yang, Alaa El-Hussuna","doi":"10.1089/cyber.2023.0222","DOIUrl":"10.1089/cyber.2023.0222","url":null,"abstract":"<p><p>Recent studies have indicated the potential detrimental psychological effects of Instagram use (IU) and problematic Instagram use (PIU). PIU and IU have been associated with depression, anxiety, and negative general well-being. This study aimed to investigate that correlation through a systematic review and meta-analysis. Seven databases, including PubMed/MEDLINE, were explored in February of 2023. Studies that assessed the association between IU and/or PIU with depression, anxiety, other psychological distresses, and/or general well-being were deemed eligible. The Hunter-Schmidt random effects model and multilevel meta-analysis were applied to assess the outcomes of interest. A total of 1,927 hits were identified with 37 studies included in the quantitative analysis after removal of duplicates and screening of abstracts and full texts, with the total number of participants at 14,305. The obtained correlations between PIU and depression, anxiety, and well-being with 95% confidence interval were found to be r = 0.35, [0.25, 0.44], r = 0.31, [0.22, 0.40], r = -0.17, [-0.24, -0.10], respectively. Similarly, for IU and depression r = 0.11, [0.06, 0.16], <i>p</i> < 0.05 for all of the aforementioned results. The association between IU and anxiety was found to be r = 0.12, [0.04, 0.21], <i>p</i> < 0.05. The present meta-analysis found significant conceptual heterogeneity across the studies included due to different study designs and population heterogeneity. The results show a positive association of PIU and IU with depression, anxiety, and other psychological distress(es). There is a need for robust designed longitudinal research to explore this association.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141626261","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}
Internet and Communication Technologies (ICTs) can foster efficient communication and knowledge acquisition, but there are also tradeoffs in terms of risks to one's privacy. Previous research, including work with the privacy calculus framework, indicates that factors such as perceived risks and benefits of using ICTs, ICT trust, and general privacy concerns can influence individuals' digital privacy-related decisions. One pervasive psychological factor that may potentially alter such privacy-related behaviors is acute stress. Acute stress can promote risk-seeking behaviors and a tendency to prefer immediate rewards over delayed, greater value rewards. However, the effect of acute stress in the applied context of privacy decision making is relatively unknown. Participants (N = 143) in this study were randomly assigned to either an acute stress task (socially evaluated cold pressor task) or an active control task (lukewarm water alone). Results revealed that acute stress condition increased information disclosure, as indexed by accepting more online cookies, sharing one's location more frequently, and revealing greater willingness to self-disclose personal information. In addition, the impact of individuals' levels of perceived risk and benefits, trust, and privacy concern on privacy decision making was examined. However, none of these constructs consistently influenced privacy decisions over and above the effect of stress. Overall, our findings suggest that acute stress has robust, independent influence on privacy decision making.
{"title":"Can Stress Put Digital Privacy at Risk? Evidence from a Controlled Experiment Examining the Impact of Acute Stress on Privacy Decisions on a Simulated Social Network Site.","authors":"Yizhou Liu, Kaileigh A Byrne, Heba Aly, Reza Ghaiumy Anaraky, Bart Knijnenburg","doi":"10.1089/cyber.2023.0687","DOIUrl":"10.1089/cyber.2023.0687","url":null,"abstract":"<p><p>Internet and Communication Technologies (ICTs) can foster efficient communication and knowledge acquisition, but there are also tradeoffs in terms of risks to one's privacy. Previous research, including work with the privacy calculus framework, indicates that factors such as perceived risks and benefits of using ICTs, ICT trust, and general privacy concerns can influence individuals' digital privacy-related decisions. One pervasive psychological factor that may potentially alter such privacy-related behaviors is acute stress. Acute stress can promote risk-seeking behaviors and a tendency to prefer immediate rewards over delayed, greater value rewards. However, the effect of acute stress in the applied context of privacy decision making is relatively unknown. Participants (<i>N</i> = 143) in this study were randomly assigned to either an acute stress task (socially evaluated cold pressor task) or an active control task (lukewarm water alone). Results revealed that acute stress condition increased information disclosure, as indexed by accepting more online cookies, sharing one's location more frequently, and revealing greater willingness to self-disclose personal information. In addition, the impact of individuals' levels of perceived risk and benefits, trust, and privacy concern on privacy decision making was examined. However, none of these constructs consistently influenced privacy decisions over and above the effect of stress. Overall, our findings suggest that acute stress has robust, independent influence on privacy decision making.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141726925","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}
Kim Tenfelde, Ayla Dijkmans, Nadine Bol, Mart Kicken, Chris van der Lee, Jan de Wit, Barbara Maat
Medication reconciliation, the process of documenting a patient's medication, is currently a time-consuming and labor-intensive process. To make medication reconciliation more efficient, digital assistants (DAs) offer a promising solution. Especially since human-like digital interfaces tend to be appreciated by more vulnerable populations such as patients in a low socioeconomic position (SEP). Despite the potential of DAs for low-SEP populations in particular, these groups are often not involved during the development and design phase of such digital health interventions. This exclusion may explain the lower adoption rates of digital interventions among low-SEP patients and exacerbate the so-called digital divide. We explored the perceptions and needs of patients across the SEP gradient using a participatory design approach. Patients of low-, middle-, and high-SEP backgrounds were asked to interact with a DA developed for this study and were interviewed afterward. A thematic analysis revealed seven themes regarding design, input method, comprehensibility, privacy concerns, benefits, the intention to use, and reassurance. Overall, patients were afraid to make mistakes in their medication entries and therefore valued feedback from the system or caregivers. Low-SEP patients specifically seemed to value more structured input methods when using the DA, while high-SEP patients emphasized the importance of a secure environment for the DA and sought clarity about its functionalities. Our study demonstrates the importance of involving patients across the socioeconomic gradient when developing a digital health tool and offers concrete recommendations for inclusive DA design for researchers and developers.
药物对账是记录病人用药情况的过程,目前是一个耗时耗力的过程。为了提高用药核对的效率,数字助理(DAs)提供了一个很有前景的解决方案。特别是因为类似人类的数字界面往往会受到更多弱势群体(如社会经济地位较低(SEP)的病人)的青睐。尽管数字设备对社会经济地位较低的人群具有很大的潜力,但这些人群往往无法参与此类数字健康干预措施的开发和设计阶段。这种排斥可能是低社会经济地位患者采用数字干预措施的比例较低的原因,也可能加剧了所谓的数字鸿沟。我们采用参与式设计方法探讨了 SEP 梯度上患者的看法和需求。低、中、高 SEP 背景的患者被要求与为本研究开发的 DA 进行互动,并在互动后接受访谈。专题分析显示了七个主题,分别涉及设计、输入方法、可理解性、隐私问题、益处、使用意愿和保证。总体而言,患者害怕在输入药物时出错,因此非常重视来自系统或护理人员的反馈。低 SEP 患者在使用 DA 时似乎特别重视更有条理的输入方法,而高 SEP 患者则强调了 DA 安全环境的重要性,并希望明确其功能。我们的研究表明,在开发数字健康工具时,让不同社会经济梯度的患者参与进来非常重要,并为研究人员和开发人员提供了包容性数据采集设计的具体建议。
{"title":"Patient Perspectives on a Digital Assistant for Medication Reconciliation: An Interview Study Comparing Socioeconomic Groups.","authors":"Kim Tenfelde, Ayla Dijkmans, Nadine Bol, Mart Kicken, Chris van der Lee, Jan de Wit, Barbara Maat","doi":"10.1089/cyber.2023.0626","DOIUrl":"https://doi.org/10.1089/cyber.2023.0626","url":null,"abstract":"<p><p>Medication reconciliation, the process of documenting a patient's medication, is currently a time-consuming and labor-intensive process. To make medication reconciliation more efficient, digital assistants (DAs) offer a promising solution. Especially since human-like digital interfaces tend to be appreciated by more vulnerable populations such as patients in a low socioeconomic position (SEP). Despite the potential of DAs for low-SEP populations in particular, these groups are often not involved during the development and design phase of such digital health interventions. This exclusion may explain the lower adoption rates of digital interventions among low-SEP patients and exacerbate the so-called digital divide. We explored the perceptions and needs of patients across the SEP gradient using a participatory design approach. Patients of low-, middle-, and high-SEP backgrounds were asked to interact with a DA developed for this study and were interviewed afterward. A thematic analysis revealed seven themes regarding design, input method, comprehensibility, privacy concerns, benefits, the intention to use, and reassurance. Overall, patients were afraid to make mistakes in their medication entries and therefore valued feedback from the system or caregivers. Low-SEP patients specifically seemed to value more structured input methods when using the DA, while high-SEP patients emphasized the importance of a secure environment for the DA and sought clarity about its functionalities. Our study demonstrates the importance of involving patients across the socioeconomic gradient when developing a digital health tool and offers concrete recommendations for inclusive DA design for researchers and developers.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142105205","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}
Giuseppe Riva, Fabrizia Mantovani, Brenda K Wiederhold, Antonella Marchetti, Andrea Gaggioli
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.
{"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":null,"pages":null},"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}
Jennifer D Uhrig, Allyson M Corbo, Jill A Brown, Katie Baker, Marcel Foster, Alyssa Jordan, Daniel Moretti, Ana Rescate, Chelsea Gieck, Julie Gras-Najjar, Alexa Ortiz, Schuyler DeBree, Megan A Lewis
We used engagement marketing and human-centered design principles to cocreate a digital decision support tool for research participation with LGBTQIA+ community members to help them make an informed decision about joining the All of Us Research Program. Building on results from the research phase, we conducted eight problem validation and solutioning workshops with 48 LGBTQIA+ community members. Community members validated barriers to engagement with All of Us and brainstormed 47 potential digital solutions. We developed potential solutions into 27 concepts (descriptive text and visual storyboards) and assessed acceptability, appropriateness, feasibility, and engagement in a set of 10 concept testing workshops with 57 community members. We developed one of the highest rated concepts, the "Decide Later Tool," into a prototype and tested it with 45 LGBTQIA+ community members and 14 community advisory group members to assess acceptability, appropriateness, feasibility, usability, and engagement. Prototype testing participants indicated that the tool provides information to help with decision making, provides a clear value or benefit to them, was designed for someone like them, provides the right amount of information, and is easy to use; they also offered constructive feedback to improve it. Across the design and development phases, community members indicated that the process of engaging them demonstrated integrity, competence, dependability, trust, and collaboration; fostered a sense of connection to All of Us; and will enhance future engagement with All of Us. Our next steps are to develop the prototype into a fully functioning web tool and pilot test it in community and health care settings.
{"title":"Applying Engagement Marketing And Human-Centered Design to Cocreate a Digital Decision Support Tool for Research Participation with LGBTQIA+ Community Members.","authors":"Jennifer D Uhrig, Allyson M Corbo, Jill A Brown, Katie Baker, Marcel Foster, Alyssa Jordan, Daniel Moretti, Ana Rescate, Chelsea Gieck, Julie Gras-Najjar, Alexa Ortiz, Schuyler DeBree, Megan A Lewis","doi":"10.1089/cyber.2023.0689","DOIUrl":"https://doi.org/10.1089/cyber.2023.0689","url":null,"abstract":"<p><p>We used engagement marketing and human-centered design principles to cocreate a digital decision support tool for research participation with LGBTQIA+ community members to help them make an informed decision about joining the All of Us Research Program. Building on results from the research phase, we conducted eight problem validation and solutioning workshops with 48 LGBTQIA+ community members. Community members validated barriers to engagement with <i>All of Us</i> and brainstormed 47 potential digital solutions. We developed potential solutions into 27 concepts (descriptive text and visual storyboards) and assessed acceptability, appropriateness, feasibility, and engagement in a set of 10 concept testing workshops with 57 community members. We developed one of the highest rated concepts, the \"Decide Later Tool,\" into a prototype and tested it with 45 LGBTQIA+ community members and 14 community advisory group members to assess acceptability, appropriateness, feasibility, usability, and engagement. Prototype testing participants indicated that the tool provides information to help with decision making, provides a clear value or benefit to them, was designed for someone like them, provides the right amount of information, and is easy to use; they also offered constructive feedback to improve it. Across the design and development phases, community members indicated that the process of engaging them demonstrated integrity, competence, dependability, trust, and collaboration; fostered a sense of connection to <i>All of Us</i>; and will enhance future engagement with <i>All of Us</i>. Our next steps are to develop the prototype into a fully functioning web tool and pilot test it in community and health care settings.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142105203","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}