Computers in Human Behavior: Artificial Humans最新文献_第9页

The impact of artificial intelligence on the tasks of mental healthcare workers: A scoping review 人工智能对精神卫生工作者任务的影响：范围界定综述

Computers in Human Behavior: Artificial Humans Pub Date : 2023-08-01 DOI: 10.1016/j.chbah.2023.100008

Ana Daniela Rebelo , Damion E. Verboom , Nuno Rebelo dos Santos , Jan Willem de Graaf

{"title":"The impact of artificial intelligence on the tasks of mental healthcare workers: A scoping review","authors":"Ana Daniela Rebelo , Damion E. Verboom , Nuno Rebelo dos Santos , Jan Willem de Graaf","doi":"10.1016/j.chbah.2023.100008","DOIUrl":"https://doi.org/10.1016/j.chbah.2023.100008","url":null,"abstract":"<div><h3>Background</h3><p>Artificial Intelligence (AI) is expected to transform the work context deeply. Currently, multiple AI systems are being studied and applied in the mental healthcare field, challenging traditional ways of performing tasks by professionals.</p></div><div><h3>Objectives</h3><p>This study aims to verify to what extent AI impacts mental healthcare workers’ tasks, describe how AI impacts those tasks, and identify which tasks are impacted.</p></div><div><h3>Design</h3><p>Two databases were used to find empirical research published between 2019 and December 2022. A total of 46 papers were included in the review.</p></div><div><h3>Results</h3><p>AI was most often employed for assessment tasks, in which it is generated to support physicians in the diagnostic process. Patient monitoring was also explored by a few papers, which applied intelligent systems to aid professionals by identifying variables that can predict the outcome of the therapeutic process and detect the patients' mood. Regarding therapy, AI systems can contribute by providing insights into patient-therapist interaction and the patient's emotional states. Finally, documentation and medical prescriptions were addressed by one article which measured physicians' opinions on the impact of AI on their jobs.</p></div><div><h3>Conclusion</h3><p>Artificial Intelligence systems impact the tasks of mental healthcare workers by providing support and enabling greater insights. Most systems aimed to aid mental healthcare workers instead of replacing them. These results highlight the relevance of training professionals to enable hybrid intelligence.</p></div>","PeriodicalId":100324,"journal":{"name":"Computers in Human Behavior: Artificial Humans","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49729498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing the efficacy of ChatGPT in addressing Chinese financial conundrums: An in-depth comparative analysis of human and AI-generated responses 评估ChatGPT在解决中国金融难题方面的功效:对人类和人工智能生成的响应进行深入的比较分析

Computers in Human Behavior: Artificial Humans Pub Date : 2023-08-01 DOI: 10.1016/j.chbah.2023.100007

Chen Ren , Sang-Joon Lee , Chenxi Hu

{"title":"Assessing the efficacy of ChatGPT in addressing Chinese financial conundrums: An in-depth comparative analysis of human and AI-generated responses","authors":"Chen Ren , Sang-Joon Lee , Chenxi Hu","doi":"10.1016/j.chbah.2023.100007","DOIUrl":"https://doi.org/10.1016/j.chbah.2023.100007","url":null,"abstract":"<div><p>ChatGPT, the latest iteration of OpenAI's natural language generation model, has found applications in a wide range of tasks such as question answering, text summarization, machine translation, classification, code generation, and dialogue A.I. Its potential in the financial industry has garnered significant attention. This paper aims to bridge the gap between chatGPT and human services in the financial domain, while also exploring the opportunities and challenges it presents in this industry. To comprehensively evaluate the processing capabilities of chatGPT in the financial field, we collected a dataset of n = 7165 financial questions and analyzed the perplexity value, emotion value, accuracy, professionalism, and real-time performance of both human-generated and chatGPT-generated content using machine learning algorithms and evaluation tests. The experimental results indicate that chatGPT exhibits higher levels of professionalism and accuracy compared to manual services, leading to improved efficiency, cost reduction, and enhanced customer satisfaction, thereby boosting the competitiveness and profitability of financial institutions. However, challenges such as a lack of emotional value in its responses, potential bias from one-sided training data, information errors, and the risk of job displacement need to be addressed. These findings provide theoretical and data-driven support for the future implementation of chatGPT in financial innovation and development.</p></div>","PeriodicalId":100324,"journal":{"name":"Computers in Human Behavior: Artificial Humans","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49713549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The robot that adapts too much? An experimental study on users' perceptions of social robots’ behavioral and persona changes between interactions with different users 适应能力太强的机器人？用户对社交机器人在与不同用户交互时行为和性格变化的感知的实验研究

Computers in Human Behavior: Artificial Humans Pub Date : 2023-08-01 DOI: 10.1016/j.chbah.2023.100018

Marcel Finkel, Nicole C. Krämer

{"title":"The robot that adapts too much? An experimental study on users' perceptions of social robots’ behavioral and persona changes between interactions with different users","authors":"Marcel Finkel, Nicole C. Krämer","doi":"10.1016/j.chbah.2023.100018","DOIUrl":"https://doi.org/10.1016/j.chbah.2023.100018","url":null,"abstract":"<div><p>Similar to interactions between humans, social robots are able to adapt to different people by altering their behavior. However, in contrast to humans, robots' adaptations allow for more extensive configurations, for example switching their persona to the most fitting one for the next user. Because people normally do not experience such fast and comprehensive adaptations of their interaction partners, such persona adaptations might cause unintended problems in multi-user scenarios if they are witnessed by a robot's users. Referring to perspective-taking and self-monitoring theory this laboratory study experimentally tested the effects of interpersonal adaptations on users' evaluations of robots and their interaction duration by manipulating the degree of experienced adaptation (none, behavioral, persona) in a between-subjects design. Empirical data from <em>N</em> = 115 participants contradict the assumption that experienced persona adaptations of social robots do necessarily impair human-robot interactions. This is shown with regard to both, users' time spent on the interaction and the evaluation of the respective robot. Furthermore, no benefits of behavioral adaptations could be observed, that were expected to unfold since they should not conflict with users' perceived understanding of the robot. In sum, both kinds of robotic adaptations were perceived similarly to the non-adapting robot.</p></div>","PeriodicalId":100324,"journal":{"name":"Computers in Human Behavior: Artificial Humans","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49729491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

May the force of text data analysis be with you: Unleashing the power of generative AI for social psychology research 愿文本数据分析的力量与你同在：释放生成人工智能对社会心理学研究的力量

Computers in Human Behavior: Artificial Humans Pub Date : 2023-08-01 DOI: 10.1016/j.chbah.2023.100006

Mohammed Salah , Hussam Al Halbusi , Fadi Abdelfattah

{"title":"May the force of text data analysis be with you: Unleashing the power of generative AI for social psychology research","authors":"Mohammed Salah , Hussam Al Halbusi , Fadi Abdelfattah","doi":"10.1016/j.chbah.2023.100006","DOIUrl":"https://doi.org/10.1016/j.chbah.2023.100006","url":null,"abstract":"<div><p>Recent advancements in artificial intelligence and natural language processing, particularly in developing powerful Generative AI tools such as ChatGPT, have piqued the interest of social psychology researchers. The potential of ChatGPT to revolutionize the field by analyzing vast amounts of textual data, modeling social interactions, and providing valuable insights into human behavior and social dynamics is undeniable. However, the application of Generative AI in social psychology research also presents ethical, theoretical, and methodological challenges that must be addressed. This paper provides a comprehensive overview of the use of ChatGPT in social psychology research, examining its benefits and limitations and discussing recommendations for its practical and responsible use. Additionally, we emphasize the importance of developing a clear theoretical framework that links the application of Generative AI to existing social psychology theories, ensuring that the technology contributes meaningfully to advancing knowledge in the field. Researchers can harness its potential while safeguarding their work's ethical and scientific integrity by navigating these challenges and adopting a critical and reflective stance towards using Generative AI.</p></div>","PeriodicalId":100324,"journal":{"name":"Computers in Human Behavior: Artificial Humans","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49729494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Toward Homo artificialis 走向人工人

Computers in Human Behavior: Artificial Humans Pub Date : 2023-01-01 DOI: 10.1016/j.chbah.2023.100001

Matthieu J. Guitton

引用次数: 1

AI4PCR: Artificial intelligence for practicing conflict resolution AI4PCR：用于实践冲突解决的人工智能

Computers in Human Behavior: Artificial Humans Pub Date : 2023-01-01 DOI: 10.1016/j.chbah.2023.100002

Anne Hsu, Divya Chaudhary

引用次数: 0