Article(id=1241719282921426977, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1241719216169079576, articleNumber=null, orderNo=10, doi=10.3981/j.issn.2097-0781.2023.01.009, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1672416000000, receivedDateStr=2022-12-31, revisedDate=1675008000000, revisedDateStr=2023-01-30, acceptedDate=null, acceptedDateStr=null, onlineDate=1679846400000, onlineDateStr=2023-03-27, pubDate=1679241600000, pubDateStr=2023-03-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1679846400000, onlineIssueDateStr=2023-03-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773978547074, creator=sys-migrate, updateTime=1773978547074, updator=sys-migrate, issue=Issue{id=1241719216169079576, tenantId=1146029695717560320, journalId=1146032081894723586, year='2023', volume='2', issue='1', pageStart='5', pageEnd='143', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=1, createTime=1773978531159, creator=sys-migrate, updateTime=1774001248771, updator=13041195026, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241814500781916967, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1241719216169079576, language=EN, specialIssueTitle=Science and Technology Foresight, coverIllustrator=null, specialIssueEditor=null, specialIssueAbout=null), CN=IssueExt(id=1241814500781916968, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1241719216169079576, language=CN, specialIssueTitle=形式化方法与复杂计算系统可信保障, coverIllustrator=null, specialIssueEditor=null, specialIssueAbout=null)}, issueFiles=null}, startPage=118, endPage=131, ext={EN=ArticleExt(id=1241719287174451247, articleId=1241719282921426977, tenantId=1146029695717560320, journalId=1146032081894723586, language=EN, title=Human-centered Sensing and Computing: Research Progress and Prospects, columnId=1149656489310208610, journalTitle=Science and Technology Foresight, columnName=Review and Commentary, runingTitle=null, highlight=null, articleAbstract=

The development of the internet of things (IoT), edge computing, mobile internet, and artificial intelligence (AI) has greatly enriched human-centered sensing and computing scenarios. Human-centered sensing and computing regard people as the subject or participant of sense and consciously or unconsciously combine human intelligence in the sensing and computing process, which can thus improve model adaptability and protect humans from the risks of AI. This paper discusses the concept of human-centered sensing and computing and summarizes the corresponding research works and typical applications from different aspects. Then, the paper points out a series of major challenges and research problems and finally proposes prospects for human-centered sensing and computing research on human-machine collaborating ways and ethics.

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物联网、边缘计算、移动互联网和人工智能等技术的发展，极大丰富了“以人为中心”的感知与计算场景。人为中心感知计算将人作为感知的目标主体或参与者，在感知计算过程中有意识或无意识地贡献人类智慧，提高了模型适应能力和避免人工智能危害人类。文章对人为中心感知计算的概念进行了探讨，从不同角度总结了相关研究工作与典型应用，提出了若干重要挑战与主要研究问题。最后，对人为中心感知计算在人机协作方式、伦理等研究方向进行了展望。

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於志文，教授，博士研究生导师。教育部“长江学者”特聘教授，国家杰出青年科学基金获得者，国家“万人计划”科技创新领军人才。主要研究领域为移动互联网、普适计算、人机系统。电子信箱：zhiwenyu@nwpu.edu.cn。

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於志文，教授，博士研究生导师。教育部“长江学者”特聘教授，国家杰出青年科学基金获得者，国家“万人计划”科技创新领军人才。主要研究领域为移动互联网、普适计算、人机系统。电子信箱：zhiwenyu@nwpu.edu.cn。

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However, challenges exist in designing a supporting network with optimal resource management while achieving quality-of-experience for a smart service. In this article, we propose a unified SA-WMN architecture that can be applied to different smart services. The core of the SA-WMN architecture is a smart service-aware network controller. The mega network controller has a service adaptation module, network cognition module and resource provisioning module that can achieve cost-effective wireless-mixed area network deployment, and efficient network resource management of SA-WMN. The proposed SA-WMN architecture is expected to close the gap on wireless network design, improve energy efficiency and enhance spectrum efficiency and access, in a smart service-aware paradigm. 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As the first step to regulate on-demand ride services and eliminate black market, we design a method to detect ridesharing cars from a pool of cars based on their trajectories. Since licensed ridesharing car traces are not openly available and may be completely missing in some cities due to legal issues, we turn to transferring knowledge from public transport open data, i.e., taxis and buses, to ridesharing detection among ordinary vehicles. We propose a novel two-stage transfer learning framework, called CoTrans. In Stage 1, we take taxi and bus data as input to learn a random forest (RF) classifier using trajectory features shared by taxis/buses and ridesharing/other cars. Then, we use the RF to label all the candidate cars. 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In particular, trust guides reliance when complexity and unanticipated situations make a complete understanding of the automation impractical. This review considers trust from the organizational, sociological, interpersonal, psychological, and neurological perspectives. It considers how the context, automation characteristics, and cognitive processes affect the appropriateness of trust. The context in which the automation is used influences automation performance and provides a goal-oriented perspective to assess automation characteristics along a dimension of attributional abstraction. These characteristics can influence trust through analytic, analogical, and affective processes. The challenges of extrapolating the concept of trust in people to trust in automation are discussed. A conceptual model integrates research regarding trust in automation and describes the dynamics of trust, the role of context, and the influence of display characteristics. Actual or potential applications of this research include improved designs of systems that require people to manage imperfect automation.)], funds=[Fund(id=1241719302135533837, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719282921426977, awardId=61960206008, language=CN, fundingSource=国家自然科学基金(61960206008), fundOrder=null, country=null), Fund(id=1241719302223614223, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719282921426977, awardId=62025205, language=CN, fundingSource=国家自然科学基金(62025205), fundOrder=null, country=null), Fund(id=1241719302374609171, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719282921426977, awardId=2021ZD0113300, language=CN, fundingSource=国家重点研发计划(2021ZD0113300), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241719298448740537, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719282921426977, xref=null, ext=[AuthorCompanyExt(id=1241719298457129146, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719282921426977, companyId=1241719298448740537, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1. School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China), AuthorCompanyExt(id=1241719298465517755, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719282921426977, companyId=1241719298448740537, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.西北工业大学计算机学院，西安 710129)]), AuthorCompany(id=1241719298541015229, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719282921426977, xref=null, ext=[AuthorCompanyExt(id=1241719298549403838, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1241719282921426977, companyId=1241719298541015229, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2. 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