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Building trust in automatic video interviews using various AI interfaces: Tangibility, immediacy, and transparency

Computers in human Behavior 2023年 143卷

作者： Suen, Hung-Yue Hung, Kuo-En Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei City Taiwan

As the demand for automatic video interviews powered by artificial intelligence (AI) increases among employers in the postpandemic era, so do concerns over job applicants' trust in the technology. There are various forms of AI-based video interviews with and without the features of tangibility, immediacy, and transparency used for preemployment screening, and these features may distinctively influence applicants' trust in the technology and whether they engage in or disengage from the hiring process accordingly. This field study involved designing a test of the effect of various forms of AI-based video interviews on interviewees' cognitive and affective trust based on the self-reporting of 152 real job applicants. The study found that AI used in asynchronous video interviews (AI-AVI) increased applicants' cognitive trust from that in the non-AI condition. Moreover, when the AI-AVI had features of tangibility and transparency, the applicants’ cognitive and affective trust increased. However, the feature of immediacy did not have a statistically significant impact. Contrary to concern over the potential negative effects caused by AI and its features, no statistically significant impacts were found in this study. © 2023 Elsevier Ltd

关键词： User interfaces

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Evaluating the effects of different processing methods on the nutritional quality of bovine milk

Food and Humanity

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Food and humanity 2023年 1卷 128-136页

作者： Kiriti Aaradhana, S. Arun Kumar, E. Vignesh, S. Chidanand, D.V. Baskaran, N. Department of Academics and Human Resource Development National Institute of Food Technology Entrepreneurship & Management-Thanjavur Tamil Nadu Thanjavur 613005 India Department of Planning and Monitoring Cell National Institute of Food Technology Entrepreneurship & Management-Thanjavur Tamil Nadu Thanjavur 613005 India Department of Industry Academia cell National Institute of Food Technology Entrepreneurship & Management-Thanjavur amil Nadu Thanjavur 613005 India

Milk is a universal food that is widely consumed around the world irrespective of age. It has a complex matrix consisting of proteins, carbohydrates, minerals, vitamins, and enzymes that have successfully retained the interest of researchers as yet. The aim of the study was to evaluate the effect of low-temperature long-time (LTLT), ultraviolet light (UV), and ultrasound (US) treatments on physicochemical properties, microbial count, and fatty acid profiling of three types of bovine milk – Country (C), Jersey (J), and Holstein Friesian (HF). The study was conducted in southern India, where these three types of milk are commonly consumed. It was found that no significant (p ˂ 0.05) differences in the proximate composition of milk samples subjected to different treatments compared to untreated milk. However, LTLT treatment resulted in a reduction in ascorbic acid content and significant changes in antioxidant activity and lactose content. LTLT treatment was also able to kill the pathogenic bacteria E. coli, whereas UV and US treatment only showed a notable reduction in the E. coli count. Fatty acid profiling of the treated milk samples was done using GC/MS, and Fourier Transform Infrared Spectroscopy (FTIR) was performed to study the types of chemical bonds present. The results showed that non-thermal treatments (UV and US) were able to sustain the chemical characteristics of milk and had potential for implementation in the dairy industry. Overall, the study highlights the potential benefits of non-thermal treatments such as UV and US in maintaining the chemical properties of milk and reducing pathogenic bacteria count. The findings could be useful in the dairy industry to ensure the safety and quality of milk. © 2023 Elsevier B.V.

关键词： Country milk HF milk Jersey milk LTLT treatment Ultrasound Ultraviolet

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Research on the Ecological Environment Evaluation of Technological Talents in the Shuangcheng Economic Circle of Chengdu Region 1

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International Conference on Data Analytics in Business and Marketing, ICDABM 2022

作者： Liu, Hong Yadav, Amit Hu, Li Qin Mehedi Hassan, Md. Mollick, Swarnali Talwar, Dinesh Department of Human Resource Management Chengdu University of Technology Chengdu China Darwin Australia Department of E-Commerce Chengdu Neusoft University Chengdu China Computer Science and Engineering North Western University Khulna Bangladesh Computer Science and Engineering Northern University of Business and Technology Khulna Bangladesh Department of Corporate and Digital Development Darwin Australia

ISBN: (数字)9789819953585

ISBN: (纸本)9789819953578

This paper takes 22 cities in Sichuan-Chongqing region as examples, builds a comprehensive evaluation index system for the ecological environment of scientific and technological talents on the basis of existing research, uses the mean square error weighting method to determine the weight of each index, and uses the comparative analysis method to analyze the Chengdu-Chongqing double-city economic circle. The current situation and shortcomings of the cities in the country proposed countermeasures and suggestions to improve the comprehensive ability of scientific and technological talents in the ecological environment. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Mean square error

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Community Engagement and Ecosystem Services for Mine Rehabilitation

Integrative Conservation

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Integrative Conservation 2025年第1期4卷 107-112页

作者： Pan, Yuan Duddigan, Sarah Devanadera, Ma Catriona E. Quierrez, Rico Neil M. Tibbett, Mark Department of Digital Humanities King's College London London United Kingdom Department of Sustainable Land Management School of Agriculture Policy and Development University of Reading Reading United Kingdom Department of Community and Environmental Resource Planning College of Human Ecology University of the Philippines Los Baños Los Baños Philippines Department of Science and Technology Philippine Nuclear Research Institute (DOST-PNRI) Quezon City Philippines

The growing global demand for minerals presents economic opportunities for countries such as the Philippines but also raises concerns about the impacts of mineral extraction on local communities and ecosystem services. This study explores an interdisciplinary community engagement process informing mine rehabilitation in the Philippines, framed through an ecosystem services lens. As part of the PROMT (Philippines Remediation of Mine Tailings) project, we conducted an initial participatory workshop at the Padcal Mine site, engaging Indigenous communities to assess local perspectives on ecosystem services and the impacts of mining activities. Through video presentations, a questionnaire, and focus groups, we found that 88% of participants understood the concept of ecosystem services after viewing an introductory video, while 62% believed mining negatively affected ecosystem services. Interestingly, 65% felt that rehabilitated mines could provide future ecosystem services, such as agriculture or ecotourism. Gender differences were evident, with women perceiving more significant mining impacts but being more optimistic about the rehabilitation potential. This underscores the importance of inclusive engagement approaches. The ecosystem services framework effectively bridges ecological knowledge with community priorities and tangible benefits, promoting social acceptance of mine rehabilitation. This interdisciplinary approach, particularly the integration of Indigenous perspectives, remains underused in mining contexts. Our community-based participatory methodology provides guidance for balancing diverse socioeconomic and environmental considerations. © 2025 The Author(s). Integrative Conservation published by John Wiley & Sons Australia, Ltd on behalf of Xishuangbanna Tropical Botanical Garden (XTBG).

关键词： community engagement ecosystem services mine rehabilitation mine tailings mineral extraction stakeholder engagement

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Influence of Yuanfen Attribution on Job Performance: An Exploration of the Roles of Self-Efficacy and Well Being

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Bulletin of Educational Psychology 2023年第4期54卷 807-834页

作者： Hsieh, Ting-Has Liao, Yuan-Liang Wu, Chung-Lan Department of Human Resource Management and Development Hsiuping University of Science and Technology Taiwan Office of Academic Affairs Jen-Mei Elementary School Taiwan

Yuan, also referred to as yuanfen, is a unique concept in Eastern culture. In Chinese-speaking societies, yuan is often used to explain guanxi-related problems, and it constitutes a thinking pattern that is applied when solving problems involving interpersonal interactions (Hsu, 2012). In Chinese-speaking communities, yuan is the basis of a unique attribution model for explaining the results of interactions between people in a complex world (Chang & Jou, 2004;Lee & Chen, 2006). The present study proposes yuan-attribution and fen-attribution models on the basis of attribution theory. Yuan reflects a belief in fate and an external locus of control;random encounters, interpersonal relationships, and everyday opinions are considered to be predestined conclusions. In Eastern societies, this mindset leads to the adoption of a form of psychological defense that is based on the Mandate of Heaven and a belief in yuan (Chang & Jou, 2004;Wang, 1985). Consequently, they employ an operating mechanism characterized by acceptance and adaptation to achieve psychological selfadaptation. Yuan-attribution refers to an inclination to blame external factors and exhibit social indifference when specific outcomes occur in environments and under circumstances that are unpredictable and uncontrollable. Fen reflects a belief in voluntarism and an internal locus of control. Individuals who believe in fen consider themselves to be responsible for how they relate to their surroundings, and they attempt to exercise ownership over it. They believe that their expectations can be met through self-directed behaviors;this attitude exemplifies the concepts of “man being the master of his own destiny” and “sparing no effort.” This unique belief in fen leads to the formation of an operating mechanism in which people recognize and accept their destiny, which in turn motivates them to adopt attitudes and behaviors characterized by hard work and gratitude (Hsu, 2012). Fen attribution refers to an inclinati

关键词： attribution theory job performance self-efficacy well-being yuan-fen attribution

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Student rating consistency in online peer assessment from the perspectives of individual and class

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Studies in Educational Evaluation 2023年 79卷

作者： Chang, Chi-Cheng Tseng, Ju-Shih Department of Technology Application & Human Resource Development National Taiwan Normal University Taipei Taiwan

Most of previous studies examined the consistency among two or three student raters giving scores to different peers (i.e. ratees), whereas few of them researched the consistency among more student raters giving scores to different peers (i.e. ratees). The present study aimed to see whether there is a consistency among student raters giving scores to peers in an online assessment activity. Participants of the study were 266 graduate students, with 137 males and 129 females, from 27 classes in a department at some university. Each student was required to give a presentation graded by the peers anonymously. From to the perspective of class, the result of the Kendall coefficient of concordance showed that a proportion of more than half-classes presented a significant correlation with a moderate or strong consistency among student raters giving scores to peers, and thus the number of raters or peers should be more for a higher reliability. The result of Chi-square test from the perspective of individual revealed that students held a consistent standard when giving scores to peers' presentations. Finally the implications for theories and practices are proposed. © 2023

关键词： Consistency Evaluation Peer assessment Peer grading Peer rating Peer scoring

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Decision Making on Optimal Selection of Advertising Agencies using Machine Learning 9

Decision Making on Optimal Selection of Advertising Agencies...

引用

9th International Conference on Information Management, ICIM 2023

作者： Joe Anand, M. Clement Martin, Nivetha Clementking, Arockiasamy Rani, S. Priyadharshini, Sujitha Siva, S. Department of Mathematics Karnataka Bengaluru560052 India Human Resource Development Karnataka Bengaluru560052 India Vels Institute of Science Technology & Advanced Studies Department of Information Technology Tamil Nadu Chennai600117 India Pvt. Ltd Karnataka Bengaluru560017 India Reva University Department of Computer Science & Applications Karnataka Bengaluru560064 India

ISBN: (纸本)9798350336382

The decision makers of every business firm take strenuous efforts to achieve the target of sales promotion using different marketing strategies. In recent times, advertising is becoming one of the most preferred and adopted marketing techniques to reach customers at larger magnitude. The business firms irrespective of their production sizes and scales associate with various advertising agencies to familiarize their products to the customers. The advertising strategic approach of marketing also gives rise to a decision-making problem on the optimal choice of advertising agencies as the wrong selection of the agencies harms the sales. This research paper intends to propose a decision making (DM) model integrating both multi-criteria decision methods and machine learning algorithms to make optimal selection of advertising agencies. The proposed DM model considers 25 alternatives of advertising agencies, six criteria, linguistic analytic hierarchy process (LAHP) and random forest algorithm for ranking the advertising agencies. The machine learning (ML) algorithm identifies the feasible alternatives with the help of criterion weights obtained using the method of LAHP. This method is more compatible as it minimizes the risks of decision making by grouping the alternatives into two groups of acceptance and rejection based on their likelihood. The computations are done using Python programming language especially in Google Colabs. © 2023 IEEE.

关键词： Machine learning

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MiniNet: Dense squeeze with depthwise separable convolutions for image classification in resource-constrained autonomous systems

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ISA Transactions 2023年 132卷 120-130页

作者： Tseng, Fan-Hsun Yeh, Kuo-Hui Kao, Fan-Yi Chen, Chi-Yuan Department of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Department of Information Management National Dong Hwa University Hualien Taiwan Computer Science and Engineering Department of National Sun Yat-sen University Kaohsiung804 Taiwan Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan Department of Computer Science and Information Engineering National Ilan University Yilan Taiwan

In recent years, artificial intelligence (AI) has been developed vigorously, and a great number of AI autonomous applications have been proposed. However, how to decrease computations and shorten training time with high accuracy under the limited hardware resource is a vital issue. In this paper, on the basis of MobileNet architecture, the dense squeeze with depthwise separable convolutions model is proposed, viz. MiniNet. MiniNet utilizes depthwise and pointwise convolutions, and is composed of the dense connection technique and the Squeeze-and-Excitation operations. The proposed MiniNet model is implemented and experimented with Keras. In experimental results, MiniNet is compared with three existing models, i.e., DenseNet, MobileNet, and SE-Inception-Resnet-v1. To validate that the proposed MiniNet model is provided with less computation and shorter training time, two types as well as large and small datasets are used. The experimental results showed that the proposed MiniNet model significantly reduces the number of parameters and shortens training time efficiently. MiniNet is superior to other models in terms of the lowest parameters, shortest training time, and highest accuracy when the dataset is small, especially. © 2022 ISA

关键词： Convolution

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Correction to: From academic achievement to career development: does self‐regulated learning matter?

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International Journal for Educational and Vocational Guidance 2024年 1-2页

作者： Hsu, Anna J. C. Chen, Mavis Yi-Ching Shin, Nai-Fang Department of Management The Chinese University of Hong Kong Shatin Hong Kong Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan Department of Management Huei Yeh Corporation Taipei Taiwan

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The Value Chain of Education Metaverse

arXiv

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arXiv 2022年

作者： Tsai, Yun-Cheng The Department of Technology Application and Human Resource Development The National Taiwan Normal University Taiwan

Since the end of 2021, the Metaverse has been booming. Many unknown possibilities are gradually being realized, but many people only determined that they use Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in the Metaverse. It is even considered that as long as the above realities (VR, AR, MR) are used, it is equal to the Metaverse. However, this is not true, for Reality-based display tools are only one of the presentation methods of the Metaverse. If we cannot return to the three main characteristics of the Metaverse: "digital avatars," a decentralized "consensus value system," and "Immersive experience," the practice and imagination of the Metaverse will become very narrow. Since 2022, the concept of Metaverse has also been widely used in classroom teaching to integrate into teaching activities. Therefore, to prevent teachers and students from understanding the Metaverse not only in the "Using VR, AR, MR is equivalent to Metaverse" but also pay more attention to the other two characteristics of the Metaverse: "digital avatars" and a decentralized "consensus value system.". © 2022, CC BY.

关键词： Mixed reality

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