IEEE transactions on technology and society最新文献_第2页

George Roussos and Jordan Schoenherr Appointed New EIC/Co-EIC at IEEE TTS 2026–2028 George Roussos和Jordan Schoenherr在IEEE TTS 2026-2028上被任命为新的EIC/Co-EIC

IEEE transactions on technology and society Pub Date : 2025-03-22 DOI: 10.1109/TTS.2025.3558350

John Impagliazzo

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Defining, Classifying and Identifying Addictive Patterns in Digital Products 数字产品上瘾模式的定义、分类和识别

IEEE transactions on technology and society Pub Date : 2025-03-05 DOI: 10.1109/TTS.2025.3564840

Marta Beltrán

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In This Special Issue: Data Breaches in the Cloud—Business Security and Risk Management 本期专题：云中的数据泄露——商业安全和风险管理

IEEE transactions on technology and society Pub Date : 2025-02-28 DOI: 10.1109/TTS.2024.3477828

David Kolevski;Katina Michael;Mark Freeman

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IEEE Transactions on Technology and Society Publication Information IEEE技术与社会学报

IEEE transactions on technology and society Pub Date : 2025-02-28 DOI: 10.1109/TTS.2024.3467797

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Borderline Disaster: An Empirical Study on Student Usage of GenAI in a Law Assignment 边缘灾难：学生在法律作业中使用GenAI的实证研究

IEEE transactions on technology and society Pub Date : 2025-02-25 DOI: 10.1109/TTS.2025.3540978

Armin Alimardani

{"title":"Borderline Disaster: An Empirical Study on Student Usage of GenAI in a Law Assignment","authors":"Armin Alimardani","doi":"10.1109/TTS.2025.3540978","DOIUrl":"https://doi.org/10.1109/TTS.2025.3540978","url":null,"abstract":"This empirical study examines the outcomes of integrating Generative AI (GenAI) into a law assignment at the School of Law, University of Wollongong, Australia. Despite receiving instructions on the importance of verifying GenAI outputs and feedback on their attempts to use these tools effectively, a notable portion of students included fabricated or inaccurate information that had been generated by AI in their assignments. This overreliance on AI outputs suggests that instruction and guided practice alone may not sufficiently mitigate the risks associated with the inappropriate use of GenAI. A particularly concerning issue is the difficulty of identifying AI-generated inaccuracies in assessment tasks, which often requires considerable time and effort. Consequently, such errors may go unnoticed, potentially allowing students to bypass the development of essential skills, such as critical thinking and the ability to independently evaluate the accuracy, credibility, and relevance of information. Addressing overreliance on GenAI will require developing robust strategies that should be implemented for the entire duration of a student’s university degree to ensure they engage with AI tools effectively and responsibly.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 2","pages":"210-219"},"PeriodicalIF":0.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117365","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}

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Compassionate AI Design, Governance, and Use 富有同情心的人工智能设计、治理和使用

IEEE transactions on technology and society Pub Date : 2025-02-13 DOI: 10.1109/TTS.2025.3538125

Raffaele Fabio Ciriello;Angelina Ying Chen;Zara Annette Rubinsztein

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Locational Data and the Public Interest 位置数据与公众利益

IEEE transactions on technology and society Pub Date : 2025-02-10 DOI: 10.1109/TTS.2025.3527897

Michael Goodchild;Gary M. Langham;Richard Appelbaum;Jeremy Crampton;William A. Herbert;Krzysztof Janowicz;Mei-Po Kwan;Katina Michael;Lisa Schamess

{"title":"Locational Data and the Public Interest","authors":"Michael Goodchild;Gary M. Langham;Richard Appelbaum;Jeremy Crampton;William A. Herbert;Krzysztof Janowicz;Mei-Po Kwan;Katina Michael;Lisa Schamess","doi":"10.1109/TTS.2025.3527897","DOIUrl":"https://doi.org/10.1109/TTS.2025.3527897","url":null,"abstract":"This article presents a paper developed by the AAG Organizing Committee on Locational Information and the Public Interest through a summit held in Santa Barbara, California in June 2022. The summit resulted in goals and ideas for addressing the issues that arise from the present environment for geodata, whereby public, private, and third-sector entities can tap into publicly available locational information with relatively little regulation on its access or use. The Committee articulates four goals: (1) develop a research agenda extending across disciplines, (2) outline educational resources and strategies to guide ethical practice, (3) devise a pathway to increase public understanding, and (4) create a path to increased dialogue with non-traditional and indirect stakeholders in GIS, as well as increased collaboration between academic, public, and private sectors on the use of locational information. These goals were developed to highlight the host of ethical issues that may arise in the use of locational data, whether for research, commercial application, public administration, communities or any other purpose. Some of the ethical issues are specific to this type of data and will not arise over the use of data that are not locational. Others are common to data sampling, in general, regardless of whether location is collected or not. For this project, the focus is on those issues that arise only when the data are locational. GeoEthics is the term used by this Committee that incorporates geoprivacy among other concepts.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 2","pages":"129-154"},"PeriodicalIF":0.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10879120","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Interpretable Machine Learning for Mitigating Feature-Driven Attacks 用于减轻特征驱动攻击的可解释机器学习

IEEE transactions on technology and society Pub Date : 2025-02-03 DOI: 10.1109/TTS.2025.3531780

Corey M. Hartman;Bhaskar P. Rimal

{"title":"Interpretable Machine Learning for Mitigating Feature-Driven Attacks","authors":"Corey M. Hartman;Bhaskar P. Rimal","doi":"10.1109/TTS.2025.3531780","DOIUrl":"https://doi.org/10.1109/TTS.2025.3531780","url":null,"abstract":"Recent studies have found that 43% of malware infections begin as malicious Microsoft Office documents in the form of Word or Excel file. While many techniques are proposed and are effective in the detection of malicious documents through the utilization of machine learning (ML) algorithms, bias in the datasets and the lack of insight into the decision as to why a document was flagged as malicious are problematic, as one key feature focused on by the ML model utilized may be relied on solely for the prediction that is made. By utilizing the SHAP algorithm (SHapley Additive exPlanation) and an ensemble of ML algorithms split into groups by their SHAP magnitude, where those features taking over the decision-making process of a model are split into their own feature set and are utilized in the training of a separate ML model, a voting classifier can be made to reduce this bias and reliance on a single or select few features. That allows for a more robust ML model for predicting malicious Office documents and presenting more insight into why a prediction was made by the classifier and a model that can let the user know when not enough data is present to predict with confidence. By utilizing this technique, an ensemble soft voting classifier was created that obtained 90.1% accuracy on a balanced dataset consisting of 250 malicious and 250 benign randomly selected Office documents and presents the user with a simple natural language statement that indicates the classification of the documents and why it was classified as a specific label.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 2","pages":"220-230"},"PeriodicalIF":0.0,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117366","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}

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Exploring Social Robots for Healthy Older Adults: Aging With Companionship 探索健康老年人的社交机器人：陪伴衰老

IEEE transactions on technology and society Pub Date : 2025-01-17 DOI: 10.1109/TTS.2024.3521341

Jordan Tschida;Katina Michael;Troy McDaniel

{"title":"Exploring Social Robots for Healthy Older Adults: Aging With Companionship","authors":"Jordan Tschida;Katina Michael;Troy McDaniel","doi":"10.1109/TTS.2024.3521341","DOIUrl":"https://doi.org/10.1109/TTS.2024.3521341","url":null,"abstract":"Loneliness and social isolation are prevalent among older adults and are associated with adverse health outcomes. Social robots offer a novel approach to addressing these issues by providing companionship and social support. This study examines the preferences of older adults when conversing with social robots that use verbal and nonverbal communications. The methodology of this study incorporated both quantitative and qualitative approaches. Sixteen older adults residing in an independent living facility participated in a 4-week study, during which they were observed interacting with a social robot in weekly sessions. The study employed a Wizard-of-Oz experimental design to investigate verbal and nonverbal communication levels. Data was collected in three phases beginning with the human-to-robot conversation observation immediately followed by a post-interaction survey, open-ended interviews, and finally a post-experience survey. Participants reported positive experiences with the robot, including companionship, enjoyment, and emotional support. The robot’s ability to remember details about participants and engage in responsive conversation was highly valued. All participants desired the robot to have more verbal and nonverbal communication skills. The preliminary findings suggest that social robots have the potential to mitigate loneliness and enhance social connectedness among older adults. Further research with more diverse samples is warranted to validate these findings and explore long-term effects. Addressing ethical considerations will be crucial to maximize the benefits of social robots in promoting the well-being of aging populations.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 3","pages":"257-269"},"PeriodicalIF":0.0,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657465","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}

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Sustainability and the Internet of Sounds: Case Studies 可持续发展和声音网络：案例研究

IEEE transactions on technology and society Pub Date : 2024-12-24 DOI: 10.1109/TTS.2024.3513777

Leonardo Gabrielli;Emanuele Principi;Luca Turchet

{"title":"Sustainability and the Internet of Sounds: Case Studies","authors":"Leonardo Gabrielli;Emanuele Principi;Luca Turchet","doi":"10.1109/TTS.2024.3513777","DOIUrl":"https://doi.org/10.1109/TTS.2024.3513777","url":null,"abstract":"The Internet of Sounds (IoS) is an emerging field promoted by a large network of research institutions and companies, which fosters research and new industrial and civil applications in domains such as audio processing, music performance, entertainment and environmental monitoring. Being based on novel technologies and computing paradigms, its environmental costs are yet to be assessed. In previous works, the foundations for an environmental impact assessment in the field were laid down. In this paper, a methodology is built based on an extensive literature survey to identify the foremost emission drivers in the IoS, and apply the collected knowledge to the qualitative analysis of five relevant case studies in the IoS that the authors identify. These are identified from the IoS literature in order to cover two orthogonal axes: artistic-functional and emerging-mature. Their discussion allows a qualitative prediction of their impact, which is positive in two over five cases, negative in the other two and very low in the last one. Considerations, design tips, social suggestions, and future challenges are also outlined.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 2","pages":"165-180"},"PeriodicalIF":0.0,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10813621","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0