Relevant bibliographies by topics / Systems Extrapolate Perception Factor

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Academic literature on the topic 'Systems Extrapolate Perception Factor'

Author: Grafiati
Published: 2 June 2025
Last updated: 22 June 2025

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Journal articles on the topic "Systems Extrapolate Perception Factor"

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Dr., Nasser Fegh-hi Farahmand. "Entrepreneurial Culture Extrapolate Perception by Extrinsic Incentive Management." Journal of Research in Business, Economics and Management 2, no. 1 (2015): 56–68. https://doi.org/10.5281/zenodo.16545.

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Organizations can adopt various systems extrapolate perception humanistic approach empowerment practices to enhance employee satisfaction. This paper considers the extrinsic incentive management. The strategic importance of workers is discussed and their interaction, as an asset, with other important organization assets. The basic methodologies for workers are then explained and their limitations are considered. The systems extrapolate perception revolution moves recording and analysis activities that were traditionally professional performance lines of activities focused to high operational content. The scientific and systems extrapolate perception progress, growth and internationalization of markets, processors are processes in which the accounting profession plays a leading role of extrinsic incentive management. This study has reviewed how organizations, as powerful systems extrapolate perception humanistic approach empowerment and development eating institutions, have applied normative expectations and established boundaries for the acceptable expression of emotion among employees through tactics such as applicant screening and selection measures.
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Nasser, Fegh-hi Farahmand. "Entrepreneurial Culture Extrapolate Perception by Extrinsic Incentive Management." Journal of Research in Business, Economics and Management 2, no. 1 (2015): 56–68. https://doi.org/10.5281/zenodo.3965395.

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Organizations can adopt various systems extrapolate perception humanistic approach empowerment practices to enhance employee satisfaction. This paper considers the extrinsic incentive management. The strategic importance of workers is discussed and their interaction, as an asset, with other important organization assets. The basic methodologies for workers are then explained and their limitations are considered. The systems extrapolate perception revolution moves recording and analysis activities that were traditionally professional performance lines of activities focused to high operational content. The scientific and systems extrapolate perception progress, growth and internationalization of markets, processors are processes in which the accounting profession plays a leading role of extrinsic incentive management. This study has reviewed how organizations, as powerful systems extrapolate perception humanistic approach empowerment and development eating institutions, have applied normative expectations and established boundaries for the acceptable expression of emotion among employees through tactics such as applicant screening and selection measures.
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Gerbino, Walter. "Amodal Completion Revisited." i-Perception 11, no. 4 (2020): 204166952093732. http://dx.doi.org/10.1177/2041669520937323.

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Amodal completion (AC) is analyzed, by looking at its historical roots and persisting conceptual difficulties. Looking at the origin of the concept, it becomes clear that it is not equivalent to perception of occluded parts. The role of fragment incompleteness is discussed, to clarify that it cannot be taken as a necessary factor for eliciting AC. The standard view of AC, depicted as a set of processes that extrapolate from veridically represented image fragments, is evaluated and rejected on the basis of evidence that AC modifies also modal parts. The theoretical importance of AC phenomena and their potential to reveal the inner forces of perceptual organization are emphasized, with specific reference to the minimum principle. Instances in which AC might be expected but does not occur are examined, to define the limits of such an integrative process.
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Li, Qingzhi, Yubin Zhang, Zhaohua Shi, Weihua Li, and Xin Ye. "Effect of Different Etching Processes on Surface Defects of Quartz Crystals." Coatings 13, no. 10 (2023): 1785. http://dx.doi.org/10.3390/coatings13101785.

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In high-power laser systems, the loading capacity of fused silica components under 351 nm irradiation is an important factor limiting their ability to increase output power, and in the current study, the damage threshold enhancement of fused silica components after RIE and AMP treatments has been investigated. Sub-surface defects in fused silica components after RIE treatment have also been investigated, but the reason for the high damage threshold could never be explained. Since quartz crystals and fused silica belong to the same silica system, and quartz crystals have more characterisation means than fused silica, we can extrapolate to fused silica by studying quartz crystals. We can extrapolate to fused silica by studying quartz crystals, which are characterised by more means than fused silica, and prove that the extrapolation is correct by characterising fused silica. In this study, the relationship between the etching process and the damage threshold is concluded by studying different RIE etching processes, and the damage threshold of the samples is optimal when the etching depth is 1 um.
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Díaz-Leyva, Teodoro, Carlos Dávila-Ignacio, Jorge Sanchez-Ayte, et al. "The perception of Engineering students toward teaching performance on online learning during COVID-19 pandemic." International Journal of Evaluation and Research in Education (IJERE) 11, no. 2 (2022): 744. http://dx.doi.org/10.11591/ijere.v11i2.22072.

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<span lang="EN-US">This study analyzed the perception of Mechanical Engineering and Systems Engineering students in the process of evaluating teacher performance in online teaching due to the COVID-19 pandemic. This was descriptive-correlational research. The results showed that the Systems Engineering students performed a better perception with the class session management factor and low qualification to the didactic strategies factor. Likewise, the Pearson correlation test indicated a significant relationship (0.000) between the specific factors on the overall performance factor. The topic factor has the greatest strength on the qualification of the overall performance factor, with a constant Pearson's correlation of 0.964. The Mechanical Engineering students showed a better perception with the class session planning factor and low qualification to the didactic strategies factor. Likewise, the Pearson correlation test indicated a significant relationship (0.000) between the specific factors on the overall performance factor. The didactic strategies factor being the one that has the greatest strength on the qualification of the overall performance factor, with a correlation constant Pearson's of 0.983.</span>
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Boy Chavil, Luis Enrrique, and Juan Carlos Obando Roldan. "Didactic and technological tool to encourage study in students of the Systems Engineering School at the National University of Trujillo [Herramienta didáctica y tecnológica para incentivar el estudio en los alumnos de la Escuela de Ingeniería de Sistemas de la Universidad Nacional de Trujillo]." Journal of Sciences and Engineering 5, no. 2 (2021): 70–78. http://dx.doi.org/10.32829/sej.v5i2.143.

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The present research aims to analyze and evaluate a didactic and technological tool and see the impact to encourage study in the students of the Systems Engineering School at the National University of Trujillo, during the 2020-II semester. It was possible to implement the Stormboard application for the development of Brainstorming as a didactic strategy through which it is intended to encourage the creative and innovative aspect of students when addressing topics and case studies. Analyzing the results obtained, we can point out that impacts were determined on the level of motivation for the study of students with a value of 8%, as well as the impact on the level of perception of educational services of students was determined in the order of 24% and finally, results of the impact on the level of student satisfaction were obtained in the order of 17%.
 Finally, it is proposed that these didactic initiatives be taken into account in the academic and institutional policies of the Systems Engineering School of in order to extrapolate the practice to other academic units at the National University of Trujillo.
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Lee, Sang-Hee, and Yong-Mi Jin. "Effect of Plastic Surgery Perception and Interest on Appearance Maintenance Behavior and Self-esteem." Journal of the Korean Society of Cosmetology 28, no. 1 (2022): 19–32. http://dx.doi.org/10.52660/jksc.2022.28.1.19.

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SPSS 21.0 program was used to analyze data collected from total of 319 surveys on the effect of plastic surgery perception and interest in appearance on appearance orientation and self-esteem. This research aims to identify the impact of plastic surgery perception and interest in appearance on appearance orientation in order to encourage appearance orientation and enhance self-esteem, and the results were the following. Positive factor of plastic surgery perception had negative(-) effect on orientation factor of appearance orientation, and reaction and improvement factors had positive(+) effect on orientation factor. Also, positive factor of plastic surgery perception has negative(-) effect on self-esteem while improvement factor had positive(+) effect. interest in appearance factor had positive(+) effect on orientation factor of appearance orientation and on self-esteem factor as well. In conclusion, plastic surgery perception can be improved through app review events while 3D virtual surgery and service systems such as happy-call for after service maintenance can increase self-esteem. Methods for increasing interest in appearance include regular exercises and self-makeup classes. Future research could connect plastic surgery perception and interest in appearance with behavior and psychological characteristics to find meaningful connections.
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Bueno, Salvador, and M. Dolores Gallego. "Managing top management support in complex information systems projects." Journal of Systems and Information Technology 19, no. 1/2 (2017): 151–64. http://dx.doi.org/10.1108/jsit-06-2017-0043.

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Purpose Top management support (TMS) is considered as a critical factor for the success of information systems (ISs) projects. The literature shows that TMS has a positive impact on achieving success in ISs’ projects in different aspects. However, the enabling factors for TMS in complex ISs’ projects have barely been tested, something which this study aims to rectify. Design/methodology/approach This study has designed a research model based on structural equation modelling (SEM) with the intention of analysing the perception of IS end users regarding the effect on TMS of the following factors: technological complexity and training and organizational communication. The application of the study has focused on an enterprise resource planning–open source software (ERP-OSS) environment. Findings The findings show how end users have a perception that organizational communication and training have a positive relation with TMS. Based on these findings, the authors have suggested several practical considerations. Research limitations/implications There are two limitations to this study. First, this study is based on the perception of complex IS/IT users. It would be interesting to add the perception of top managers to provide more solid findings. The second limitation is that this study has not suggested any additional potential factors which could affect TMS. Practical implications First, this article provides a study of the key role of TMS when an organization needs to implement a complex IS/IT. Second, organizations must develop mechanisms for increasing training and communication relating to the new complex IS/IT projects. Finally, the complexity of an IS/IT project does not constitute an enabling factor incentivizing TMS and should therefore not be a determining factor in increasing TMS within an organization selecting an IS/IT. Originality/value This study contributes to advancing theory in the field of TMS in information systems projects.
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Filsinger, Erik E., Richard A. Fabes, and George Hughston. "Introversion-Extraversion and Dimensions of Olfactory Perception." Perceptual and Motor Skills 64, no. 3 (1987): 695–99. http://dx.doi.org/10.2466/pms.1987.64.3.695.

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A possible relationship between odor perception and introversion-extraversion was explored. 195 subjects completed Eysenck's Introversion-Extraversion Scale and rated strength, familiarity, and pleasantness of four odors. Zero-order correlations were examined and the data were factor analyzed. The introversion-extraversion items formed a factor separate from three olfactory factors.
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Casare, Andréia Rodrigues, Celmar Guimarães da Silva, and Regina Moraes. "User perception as a factor for improving Trustworthiness in e-commerce systems." Journal on Interactive Systems 15, no. 1 (2024): 194–219. http://dx.doi.org/10.5753/jis.2024.3748.

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The User Interface (UI) is the first artefact that the user interacts with while developing a sense of trust that motivates him to use software applications more effectively. A badly designed UI can deceive users and bring the system into disrepute. Trustworthiness in UI is mandatory, as a poorly implemented UI can lead to the user misusing the system and jeopardizing the expected result. Trust in computational systems involves not only technical aspects, such as computational infrastructure, storage space, and service composition, but also aspects of Human-Computer Interaction (HCI). While technological aspects have received considerable attention, there are few research on human-computer interaction in terms of trust. This paper describes a way for assessing a system’s trustworthiness based on the user’s perception. The approach relies on a quality model to aggregate interface quality criteria in order to get a trustworthiness score. Three sets of experiments involving more than 300 individuals were carried out to validate the suggested methodology. A comparison was made between the trustworthiness score obtained through the methodology and the answers to open questions obtained through the users’ questionnaires. The results were consistent, and statistical analysis corroborated the positive assessment. Based on these results, examples of improvements were developed to highlight the usefulness of the approach for developing more trustworthiness interfaces.
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Books on the topic "Systems Extrapolate Perception Factor"

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Takao, Kumazawa, Kruger Lawrence, and Mizumura Kazue, eds. The polymodal receptor: A gateway to pathological pain. Elsevier, 1996.

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Hilton, Denis. Social Attribution and Explanation. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.33.

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Attribution processes appear to be an integral part of human visual perception, as low-level inferences of causality and intentionality appear to be automatic and are supported by specific brain systems. However, higher-order attribution processes use information held in memory or made present at the time of judgment. While attribution processes about social objects are sometimes biased, there is scope for partial correction. This chapter reviews work on the generation, communication, and interpretation of complex explanations, with reference to explanation-based models of text understanding that result in situation models of narratives. It distinguishes between causal connection and causal selection, and suggests that a factor will be discounted if it is not perceived to be connected to the event and backgrounded if it is perceived to be causally connected to that event, but is not selected as relevant to an explanation. The final section focuses on how interpersonal explanation processes constrain causal selection.
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(Editor), T. Kumazawa, L. Kruger (Editor), and K. Mizumura (Editor), eds. The Polymodal Receptor - A Gateway to Pathological Pain (Progress in Brain Research). Elsevier Science, 1996.

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Book chapters on the topic "Systems Extrapolate Perception Factor"

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Twigg, John. "The Human Factor in Early Warnings: Risk Perception and Appropriate Communications." In Early Warning Systems for Natural Disaster Reduction. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55903-7_4.

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Świt-Jankowska, Barbara. "Humanistic Architecture - The Human Factor in the Perception and Creation of Educational Spaces." In Lecture Notes in Networks and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80710-8_8.

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Nirmala, M. M., Neelu S. Kumar, Mini Thomas, Deepa K. Thomas, and V. S. Soumya. "Perception of Fair Price Shops Owners Towards Public Distribution System: A Factor Analytical Approach." In Studies in Systems, Decision and Control. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63402-4_8.

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Delay, Eugene R., and Stephen D. Roper. "Umami Taste Signaling from the Taste Bud to Cortex." In Food and Health. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32692-9_3.

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AbstractUmami is the meaty or savory taste elicited by monosodium glutamate and other amino acids. The presence of these amino acids in foods and beverages can alter dietary intake and nutritional balance and thus the health of human and nonhuman animals. Umami has been a major culinary influence in Eastern cultures for over a century and has gradually become an important factor in Western diets. Throughout its history, research on umami, especially the unique taste elicited by monosodium glutamate and its synergistic interaction with ribonucleotides such as inosine 5′-monophosphate, has played an important role in discovering peripheral taste receptors, cellular and molecular transduction mechanisms, and the neuroanatomy of the gustatory system. Umami taste has also been a focus of study to identify brain stem and cortical structures involved in sensory processing and generating food-directed behavior. This chapter provides a brief history of umami taste, a description of the molecular receptors and cellular transduction mechanisms for umami taste stimuli in chemosensory cells in the oral cavity and gut, and an overview of the brain systems involved in umami taste perception. An understanding of these aspects of umami taste is of fundamental importance for basic science and for healthcare professions working with patient populations with dietary challenges.
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Stone, Richard T., Thomas Michael Schnieders, and Peihan Zhong. "Perception Effects in Ground Robotic Tele-Operation." In Robotic Systems. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1754-3.ch073.

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The focus of this article is perception affects and enhancement during ground robotic tele-operation. Three independent factors were studied, namely scale perception, distance perception, and orientation awareness. Enhancements for each factor was proposed, implemented, and evaluated. The results show that under remote perception conditions, where the operator was separated from the environment where the navigation took place, both distance perception and scale perception were significantly impaired as compared with that obtained under direct perception conditions. In addition, for each of the proposed enhancements designed for each critical factor, the corresponding factor was significantly improved. The broader impacts of this work can be applied to various human-robot collaborated applications, such as urban search and rescue. Applying the proposed enhancements will allow the operators to have fewer failures through hallways, doorways, or maneuvering around obstacles, as well as allowing a more accurate understanding of the area's layout when a map is not available.
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Bozdag, Gurkan, Baris Ata, and Engin Türkgeldi. "Menstrual Cycle and Ovulation." In Oxford Textbook of Endocrinology and Diabetes 3e, edited by John A. H. Wass, Wiebke Arlt, and Robert K. Semple. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198870197.003.0152.

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Understanding the physiology of follicular development is important in order to extrapolate the preclinical data to the clinical side. In this context, there has been an increasing effort to figure out the autocrine/paracrine signalling and microenvironment that will determine the fate of a follicle. The processes of atresia or further development to later stages reaching to a dominant follicle appear to be regulated by highly complicated system that consists oocyte and granulosa cell derived factors, peptides, cytokines, and sex steroids. Additionally, recent research on the menstrual cycle that yields the presence of more than one wave of follicular cohort growing within a single period will undoubtedly implicate our perception on reproductive function, hormonal contraception, and ovarian stimulation during an assisted reproduction treatment. This chapter reviews the current knowledge that reflects the timetable of a follicle throughout the early ages to the formation of dominant follicle and corresponding endometrial changes.
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Chand, Khem, Sapna Jangra, Pravin Chandra Singh, Ravi Shekhar Tiwari, and Rajesh Tiwari. "Sustainability of Mobile Wallets in the Era of Low Cost Data Usage in India." In Advances in Business Information Systems and Analytics. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7568-3.ch005.

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The present chapter explores the sustainability of mobile payment wallets amid low-cost data usage. To evaluate sustainability, the chapter evaluates the association between perception and satisfaction of m-Wallet. The chapter examines 506 m-Wallet users' perception and satisfaction. A self-administrated questionnaire was used to collect responses using an online survey. Five factors were extracted after exploratory factor analysis. Perception comprised of usefulness, self-efficacy, and ease of use. Structural equation modeling was employed on perception, satisfaction, and security. It was discovered that perception has a direct and indirect impact on satisfaction. Security has a direct impact on satisfaction. Security was utilized as a partial mediating factor between perception and satisfaction.
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Kapoor, Neeru. "Consumer Perception to Mobile Commerce." In Securing Transactions and Payment Systems for M-Commerce. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0236-4.ch011.

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Consumers' perception and opinion about mobile commerce activities play a very important role in their success. Industry people should understand consumers' worries, fears and phobias Slow connections, privacy and threat of government regulation has played an important role in limiting the growth of mobile commerce. Lack of information about mobile commerce is also one of the biggest problems being faced by the industry people. Moreover, most consumers are not totally convinced about buying something from their mobile devices as they do not consider it a satisfactory experience. Sticking to the traditional ways of shopping is another major factor in the slow growth of mobile commerce. Mobile customers have raised expectations in terms of service, convenience, speed of delivery. The difficult tasks for m-commerce is to ensure consumers' trust by making them feel comfortable with wireless transactions. It is important to find solutions to their consumer problems and serve them better than the competitors and provide them with relevant incentives to keep them coming back again.
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Rawal, Nupur, and Gurmeet Sikh Singh. "A Study on Consumer Preference and Satisfaction Towards Various Brands of Hair Shampoo in Ahmedabad City." In Advances in Business Information Systems and Analytics. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-2193-5.ch024.

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Hair shampoo plays a wide role in cosmetic products. Healthy roots and tips, daily shine, stronger hairs are the prime factors among the male and female genders driving the hair care product market globally. In this research, consumer preference and satisfaction towards different brands of hair shampoo in Ahmedabad city is studied. Hence, in this research, 26 brands have been taken both national and international brands to identify consumers' brand preference and factors that consumers consider. A total of 200 respondents' data is collected with the aid of a standardised questionnaire, and exploratory factor analysis and cluster analysis are used to analyse it. The result of the study shows that Dove and L'Oreal Paris are the most preferred brands. Brand image and usage experience, ethical and ecofriendly product, brand preference, product quality, and problem solving ability are the five factors which influence the consumer preference towards hair shampoo through factor analysis. Brand attributes and brand perception are the identified cluster groups through regression factor scores.
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Atici, Bünyamin, and Ugur Bati. "A Consumer Perception Research on the Subject of a New Technology in a Developing Dynamic Market." In Implementation and Integration of Information Systems in the Service Sector. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2649-2.ch005.

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The amount of demand for new products like 3G is related to adoption and spread of innovations. Research suggests that innovativeness is related to consumer behavior and characteristics. Research shows that new technologies like 3G are not evaluated by only its functional sides in the consumer perception. Consumers also perceive symbolic sides to this type of technology. This study measures the interests of the population that live in the urban area of Turkey and economically active and working for the 3G technology, their product purchasing criteria, product using habits, brand recognition levels, brand preferences, and tendencies for purchasing products and services in the near future. The research is performed with the participation of 612 persons in 12 provinces. The demographic characteristics belonging to the consumers who participate in the survey study, the reliability analysis results concerning the scale, t test, factor analysis, frequency analysis, correlation analysis, and variance analyses are performed in this chapter of the research. Findings show that the dynamic Turkish consumer gives significant importance to this new technology as functional and symbolic.
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Conference papers on the topic "Systems Extrapolate Perception Factor"

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Urquidi-Macdonald, Mima, Digby D. Macdonald, and Huai-Pu Chu. "Exploring the Effects of Low Amplitude Fatigue in Crack Growth Rates in High Temperature Aqueous Solution/Metal Systems." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96125.

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Abstract In this work, we explore the use of artificial neural networks (ANN, net) in sorting and interpreting the impact of mechanical variables [such as applied stress intensity factor (Kmax), amplitude and frequency of loading (ΔK, ω)] and environmental parameters [e.g., the corrosion potential (ECP)] on fatigue crack growth in steels in high temperature aqueous systems. In doing so, we reviewed and collected fatigue crack growth rate (FCGR) data from the open literature, we constructed a suitable database (mainly from data obtained from the Argonne National Laboratory) for use (as inputs) with the Artificial Neural Network (ANN), we designed an ANN and trained it on the data base, and we used the ANN to extrapolate the range of input variables. We discuss the predictions of the ANN, and we compare and contrast our findings with known and expected trends.
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Tan, LiNa, Yang Zhang, and Dongfeng Zan. "Greedy Strategy and Co-Evaluation Factor in Collaborative Filtering: Enhancing Recommender Systems with Potential Applications in IoT." In 2024 3rd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT). IEEE, 2024. https://doi.org/10.1109/ccpqt64497.2024.00026.

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Johnson, A. B., D. B. Jarrell, U. P. Sinha, and V. N. Shah. "Understanding and Managing Corrosion in Nuclear Power Plants." In CORROSION 1991. NACE International, 1991. https://doi.org/10.5006/c1991-91289.

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Abstract The main theme of this paper is a concept: understanding and managing corrosion in nuclear power plants. The concept is not new--in various forms the concept has been applied throughout the development and maturing of nuclear technology. However, the concept has frequently not been well conceived and applied. Too often, understanding corrosion has been based on reaction rather than on anticipation. Regulatory and utility industry initiatives are creating a climate and framework for more effective application of the concept. This paper characterizes the framework and provides some illustrations of how the concept is being applied, drawing from work conducted under the Nuclear Plant Aging Research (NPAR) Program, sponsored by the Nuclear Regulatory Commission's (NRCs) Office of Research. Nuclear plants are becoming an increasingly important factor in the national electrical grid. Initiatives are currently underway to extend the operating licenses beyond the current 40-year period and to evaluate advanced reactor designs that feature higher safety factors. Corrosion has not caused a major nuclear accident, but numerous corrosion mechanisms have degraded nuclear systems and components. New corrosion phenomena continue to appear, and occasionally corrosion phenomena cause reactor shutdowns. Effective application of understanding and managing corrosion is important to safe and economic operation of the nuclear plants and also to public perception of a soundly operated technology.
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Nagy, Alana, Bruce Nagy, and Scot Miller. "Investigating common factors needed for consumers to trust AI\ML." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005574.

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Is there a set of trust factors that might apply to all Machine Learning (ML) algorithm types and domain applications, independent of behavioral variations? Can this common set of factors support a baseline standard represented by a ML trust scorecard? These questions are being investigated by The Technical Cooperation Program (TTCP) involving Australia, Canada, New Zealand, United Kingdom (UK), and the United States of America (USA). This paper describes the results of an initial investigation into whether a common set of factors allows consumers to initially trust ML in critical situations. The goal was to determine if job role variations were statistically unaffected by confounder bias by modeling causal relationships and analyzing influences. Through Qualtrics, questions containing factors derived from TP 8864 AI Level of Rigor, the document used by USA and UK governments to develop official guidance, were deployed to 81 international participants consisting of various roles with technology, specifically developers, operators, and users. Participant roles consisted of a mix of autonomous and ML Systems used in surface, subsurface and land system domains. Not all autonomous participants had ML knowledge. Introducing a Behavioral Dynamics Model (BDM) became key in designing Likert scale questions containing perception, needs, and experience grouping of related factors. This design allowed for a statistical investigation of whether causality between groups affect bias towards ML. The BDM survey grouped trust factors that mapped to a ML Scorecard design consisting of Calibration, Experience, and Fatality (CEF) categories: - Calibration (ML algorithm’s limitation and strengths – represents testing requirements): --- (Likert Scale) Perceptions factors investigated: Safety, Dependability, Reliability, Suspicion, and Comfortability. --- (Likert Scale) Needs factors investigated: Human Oversight, Performance, Development, Teamwork, Adaptation, Improve Ability of Success, and Proof. - Experience (ML Algorithm’s ability to conform to consumer paradigms – represents training requirements): --- (Likert Scale) Experience factors investigated: Positive History, Past Usage, Training Adequacy, and Expectations ML Systems Fail on First Use. - Fatality (ML technology’s ability to provide decision rationale – represents development requirements): --- Open-Ended Questions: Responses aligned to Perceptions, Needs and Experience factors with emphasis on demonstrating transparency, security, certification, and ethics. By using a statistical decomposition approach of 19 hypothesis investigated using ANCOVA, ANOVA and t-test analysis, common factors for a scorecard emerged, with one exception involving adaptation in the Calibration category. From the open-ended questions, different patterns emerged based on role variations for developer, operator, and user. The key similarity was that to establish trust, strong evidence through observation or test is needed. Differences were that developers wanted oversight and reliability of an ML system, while users and operators generally wanted ML operational capability experience. Additionally, evidence indicated that the ML system needs to be trained to replace human interaction either by conforming to the participant’s past experiences or ensuring that the participant is adequately trained to trust a new ML paradigm. The findings showed that the Behavioral Dynamics Model successfully extrapolated TP 8864 guidance into questions about trust that statistically determined a common set of factors in a CEF scorecard for ML algorithms, independent of technical roles.
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Dietrich, Vincent, Bernd Kast, Philipp Schmitt, et al. "Configuration of Perception Systems via Planning Over Factor Graphs." In 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8460955.

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Wu, Di, Heming Zhao, Di Wu, et al. "Perception auditory factor for speaker recognition in noisy environment." In 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2016. http://dx.doi.org/10.1109/fskd.2016.7603472.

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Yasui, Takaaki, Fumihiro Akatsuka, Yoshihiko Nomura, and Tokuhiro Sugiura. "An Effect of Acceleration on Passively-Changed Arm-Velocity Perception." In ASME-JSME 2018 Joint International Conference on Information Storage and Processing Systems and Micromechatronics for Information and Precision Equipment. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/isps-mipe2018-8550.

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In recent years, the methods of motor learning using haptic devices that can give motion-related stimuli to learners have been studied. In order to design control systems of the haptic devices that can give learners stimuli so that they can perceive them with proprioception, we need to understand the characteristics of human’s position and velocity sensations. Then, in this study, we examined velocity JNDs (Just Noticeable Differences), in order to understand human velocity-change perception. We, in particular, focused on an effect of acceleration during velocity-change to human velocity-change perception. In the experiment, we enforced subjects to accelerate their hands with a constant acceleration of 1, 8, 16, 32 deg/s2 from before-acceleration velocity of 10 deg/s. Subjects answered whether they perceived velocity-change or not, and we measured velocity JNDs. As a result, it was found that, while the accelerations increased by 32 times, the velocity JNDs decreased by only about 1/2, i.e., from 8.1 to 4.2 deg/s. From this result, it was concluded that the magnitude of acceleration is not a determinative factor for velocity-change perception but a supplementary one.
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Durst, Phillip J., Christopher Goodin, Peilin Song, and Thien K. Du. "ROUTE PLANNING FOR AUTONOMOUS UNMANNED GROUND VEHICLE OPERATIONS IN URBAN ENVIRONMENTS." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3435.

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<title>ABSTRACT</title> <p>Route planning plays an integral role in mission planning for ground vehicle operations in urban areas. Determining the optimum path through an urban area is a well understood problem for traditional ground vehicles; however, in the case of autonomous unmanned ground vehicles (UGVs), additional factors must be considered. For a UGV, perception, rather than mobility, will be the limiting factor in determining operational areas. Current ground vehicle route planning techniques do not take perception concerns into account, and these techniques are not suited for route planning for UGVs. For this study, perception was incorporated into the route planning process by including expected sensor accuracy for GPS, LIDAR, and inertial sensors into the path planning algorithm. The path planner also accounts for additional factors related to UGV performance capabilities that affect autonomous navigation.</p>
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Zhao, X., M. Li, Y. Lin, W. Xu, and D. Hou. "IMPACTS OF LED TEMPORALLY MODULATED LIGHT ON ATMOSPHERE PERCEPTION." In CIE 2023 Conference. International Commission on Illumination, CIE, 2023. http://dx.doi.org/10.25039/x50.2023.po159.

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The introduction of LED lighting systems has raised concerns about stroboscopic effects caused by temporally modulated light. The visibility of stroboscopic effects can be predicted by the stroboscopic visibility measure (SVM). Existing studies on stroboscopic effects mainly focus on its effects on human health, while its impacts on atmosphere factors have been less studied. This study investigates the impact of stroboscopic visibility on atmosphere perceptions. 10 participants assessed lighting environments under 6 SVM conditions using 16-atmosphere terms. Factor analysis revealed 4 dimensions of atmosphere perception: cosiness, liveliness, lightness and blinking. A higher SVM level would lead to less cosiness, less liveness, less lightness and more blinking. ANOVA analysis demonstrated a significant relationship between the SVM level and the blinking perception, following a logistic function with a threshold of SVM = 1,24. Further studies are needed but the effect should be considered when designing practical lighting installations.
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Yuan, Huanlu, Hyesoo Lee, Jasmine Lima, and Ronald Boring. "The Influence of Spatial Dimension on Task Completion in Human Reliability Analysis: A Pilot Study." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004403.

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In the context of nuclear power plants, human reliability analysis (HRA) is an assessment approach focused on analyzing human error probability in complex systems, minimizing human errors, and increasing safety at nuclear power plants. Both time and location are major influencing factors when it comes to dynamic HRA, because they can easily determine operator success or failure. Despite this, research on these factors is still in its early stages. This pilot study aims to provide preliminary data on four major factors—terrain, distractions, mobility restrictions, and load—to determine the influence of these factors on walking time. Four scenarios were developed to figure out whether movement factors can affect task completion time. By using experimental data, we derived the average walking time and speed under each condition, time increase rate as compared to the regular condition, and the relation of height and speed in given scenarios. These data were linearly regressed to extrapolate time for uncollected data. We found that task performance time varied significantly depending on the determining factor. For example, the distraction scenario drastically increased walking time, while performance changes under factors such as the uneven road were less severe. This research can be used to determine the influence of the spatial dimension during operator walking time, which can help minimize time-related human errors and enhance safety at nuclear power plants.
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Reports on the topic "Systems Extrapolate Perception Factor"

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Brownworth, Anders, Jon Durfee, Michael Junho Lee, and Antoine Martin. Regulating Decentralized Systems: Evidence from Sanctions on Tornado Cash. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1112.

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Blockchain-based systems are run by a decentralized network of participants and are designed to be censorship-resistant. We use sanctions imposed by the U.S. Department of Treasury on Tornado Cash (TC), a smart contract protocol, to study the impact and effectiveness of regulation in decentralized systems. We document an immediate and lasting impact on TC following the sanction announcement, measured by market reaction, transaction volume, and diversity of users. Still, net flows into TC contracts recover to and surpass pre-announcement levels for most pools, supporting viability of TC. Evidence on cooperation at the settlement layer is mixed: the aggregate share of non-cooperative blocks increases over time, but a shrinking number of actors process Tornado Cash transactions, indicating a fragility to the sustainability of censorship-resistance. Non-cooperation is not explained by tokenomics, and changes in perception around legal authority and clarity of regulation appears to be a key factor for whether to cooperate.
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Nagahi, Morteza, Raed Jaradat, Mohammad Nagahisarchoghaei, Ghodsieh Ghanbari, Sujan Poudyal, and Simon Goerger. Effect of individual differences in predicting engineering students' performance : a case of education for sustainable development. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40700.

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The academic performance of engineering students continues to receive attention in the literature. Despite that, there is a lack of studies in the literature investigating the simultaneous relationship between students' systems thinking (ST) skills, Five-Factor Model (FFM) personality traits, proactive personality scale, academic, demographic, family background factors, and their potential impact on academic performance. Three established instruments, namely, ST skills instrument with seven dimensions, FFM traits with five dimensions, and proactive personality with one dimension, along with a demographic survey, have been administrated for data collection. A cross-sectional web-based study applying Qualtrics has been developed to gather data from engineering students. To demonstrate the prediction power of the ST skills, FFM traits, proactive personality, academic, demographics, and family background factors on the academic performance of engineering students, two unsupervised learning algorithms applied. The study results identify that these unsupervised algorithms succeeded to cluster engineering students' performance regarding primary skills and characteristics. In other words, the variables used in this study are able to predict the academic performance of engineering students. This study also has provided significant implications and contributions to engineering education and education sustainable development bodies of knowledge. First, the study presents a better perception of engineering students' academic performance. The aim is to assist educators, teachers, mentors, college authorities, and other involved parties to discover students' individual differences for a more efficient education and guidance environment. Second, by a closer examination at the level of systemic thinking and its connection with FFM traits, proactive personality, academic, and demographic characteristics, understanding engineering students' skillset would be assisted better in the domain of sustainable education.
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