Stretching AI's reach: Assessing an AI-driven feedback system for extended academic writing
Stretching AI's reach: Assessing an AI-driven feedback system for extended academic writing
- Research Article
368
- 10.1146/annurev-economics-080315-015325
- Oct 31, 2016
- Annual Review of Economics
Online marketplaces have become ubiquitous, as sites such as eBay, Taobao, Uber, and Airbnb are frequented by billions of users. The success of these marketplaces is attributed to not only the ease in which buyers can find sellers, but also the trust that these marketplaces help facilitate through reputation and feedback systems. I begin by briefly describing the basic ideas surrounding the role of reputation in facilitating trust and trade, and offer an overview of how feedback and reputation systems work in online marketplaces. I then describe the literature that explores the effects of reputation and feedback systems on online marketplaces and highlight some of the problems of bias in feedback and reputation systems as they appear today. I discuss ways to address these problems to improve the practical design of online marketplaces and suggest some directions for future research.
- Single Book
425
- 10.7551/mitpress/6428.001.0001
- Jun 19, 1980
This book on stability theory and robustness will interest researchers and advanced graduate students in the area of feedback control engineering, circuits, and systems. It will also appeal to mathematicians who are involved in applications of functional analysis to engineering problems. The book provides a methodology for the rigorous treatment of such inherently feedback aspects of dynamical system design as robustness and sensitivity, just as many researchers are beginning to realize that this type of methodology is mandatory if modern systems theory is to be used to design complicated multivariable and large-scale systems. The main objective of the book is to provide a clear mathematical formulation of the issues that arise in designing feedback systems that are robust against the destabilizing effects of unknown-but-bounded uncertainty in component dynamics. It is the first study to identify formal methods for the quantitative analysis of multiloop feedback system robustness. The view that is presents of nonlinear, multiloop feedback system stability theory is unique, lucid, and conceptually appealing. Lyapunov and input-output stability theories are unified in a new and simple geometrical perspective based on the topological separation of spaces. This perspective greatly facilitates visualization of the underlying conceptual issues in stability and robustness theory and serves to motivate specific results concerning the robustness of feedback systems. Potentially, this methodology may be applied to nonlinear feedback design, validation of modeling approximations, hierarchical control system design, and stability margin analysis for multiloop feedback systems. This book is the third publication in The MIT Press Series in Signal Processing, Optimization, and Control, edited by Alan S. Willsky.
- Research Article
4
- 10.1016/j.ergon.2023.103540
- Jan 1, 2024
- International Journal of Industrial Ergonomics
Effects of a posture correction feedback system on neck and trunk posture and muscle activity during computer work
- Research Article
5
- 10.1063/1.1148891
- May 1, 1998
- Review of Scientific Instruments
In order to improve the maximum counting rate of cryogenic μ-calorimeters used as particle detectors, the application of an external electronic feedback (EEF) system is under development in Genoa, Italy. A description of the experimental setup of such a system and a model which describes the properties of the EEF applied to a current biased μ-calorimeter is reported. The model shows the maximum performance obtainable with such a system, which in principle allows one to improve the detector speed by some orders of magnitude. The model includes also a theoretical noise analysis and the calculation of the intrinsic energy resolution obtained using this kind of system, showing that the EEF does not worsen the energy resolution. The theoretical calculations have been compared with the experimental results obtained in Genoa. The comparison shows a good agreement between theoretical predictions and experimental results. In particular it has been possible to reduce the pulse length, considered as equal to five time constant, from more than 110 ms to less than 4 ms, gaining about a factor of 30 in the detector speed. The corresponding energy resolution with the feedback system is 1.75 times worse than without the feedback system.
- Discussion
- 10.1016/j.annemergmed.2014.09.021
- Nov 20, 2014
- Annals of Emergency Medicine
Commentary: Driver Monitoring and Feedback: Not Just “I Told You So”
- Conference Article
4
- 10.1109/amc.1996.509306
- Mar 18, 1996
Fieldbusses are often used in control applications with feedback loops using the fieldbus for input and output operations. Intuitively, it is felt that communication delays may degrade the achievable feedback performance. In this paper, we use the modified synchronous model to calculate the different constraints imposed by fieldbusses on periodic distributed applications when predictable communications are required. We then apply these results to two different control architectures, feedback and feedforward systems. It appears that feedback systems with sensor to actuator delay below the sampling period duration lead to an inefficient use of processing resources and heavily constrain the transfers on the fieldbus. We present two possible implementations of feedforward and feedback systems which, under the same load conditions on the fieldbus, exhibit a much better use of resources. We also show that the message transfer laxity may always be kept large enough by proper selection of the implementation. Finally, these results are illustrated in the architecture of a computer numerical controller for machine-tools.
- Research Article
1
- 10.59141/japendi.v5i7.3059
- Jul 15, 2024
- Jurnal Pendidikan Indonesia
The presence of a feedback system is a key factor in maintaining individuals' engagement in educational games. This system aims to enhance player motivation and active participation in educational games. In addition, the feedback system can improve the players' learning outcomes by augmenting their knowledge. Nevertheless, there remains a lack of comprehensive research in the field of feedback systems in educational games, leading to an inadequate comprehension of how to construct a proficient feedback system that can more effectively accomplish the objectives of educational games. The overview of feedback systems in educational games is frequently scattered and fragmented, making it challenging to figure out which educational games incorporate such systems. This research not only improves the comprehension of the feedback system in educational games but also addresses an important gap in the existing literature. The aim of this study is to conduct an extensive and systematic review of the existing literature on feedback systems in educational games. This review is based on 36 relevant journal articles published from 2019 to 2023. This research examines the patterns in the utilization of feedback systems in educational games, including the technologies employed to build these systems, the educational domains studied, and the types of products developed through the creation of educational games. In this study, the discussion also includes the design techniques and methods for feedback systems. This text discusses the utilization feedback types as well as the algorithms used to analyze the feedback systems. The text thoroughly discusses the comprehensive selection of feedback components to be delivered as mediums for player feedback. In this paper, we will clarify the impact of using feedback systems in educational games on the players. This study greatly contributes to the progress of learning conducted through educational games.
- Conference Article
1
- 10.1145/3084381.3084385
- Jun 21, 2017
Feedback system plays an important role in E-commerce as decision support for buyers. In this paper we examine the role of feedback system in building trust towards unknown E-vendors when buyers are making purchase for the first time. We adopted Signaling theory from marketing literature to breakdown the cognitive process of buyers when they face a mixture of true and fake advertisements and guarantees from the E-vendor, and how they perceive the signals to be honest and true. We posit that Social Presence signals from reviewers in the feedback system possess the bonding ability that makes the cost/difficulty in sending fake signals prohibitively high in given feedback system. This perceived credibility in feedback system then positively influence the perceived credibility of trust-building signals, as the cost for sending fake signal without being exposed by the feedback system is extremely high. Finally, the perceived level of trust in the E-vendor positively influence the perceived credibility of risk-reducing signals, because the potential loss of sending out fake signals will jeopardise established consumer trust, which is highly sought after and valuable. By identifying the reinforcing effect between these constructs rather than parallel constructs, we hypothesize that interpersonal signals serve as a "primer" that can trigger this chain reaction, and feedback system has a much broader implication in the formation of online trust than previously recognized. For practitioners of e-commerce, this study provides an alternative source of trust-building tools apart from costly traditional signaling behaviors.
- Research Article
35
- 10.1177/002188638001600105
- Jan 1, 1980
- The Journal of Applied Behavioral Science
This study examines the effects of introducing an ongoing feedback system into 10 branches of a Midwestern bank. The feedback system was designed to facilitate collaborative control and problem solving in the branches and was hypothesized to raise the level of participation in the branches and increase their effectiveness. The effects of the new feedback system were evaluated by observing its use and by comparing questionnaire and archival information from the experimental branches with similar data collected from 10 branches where the feedback system was not implemented. The results of the study indicated that the new feedback system produced functional consequences in some of the work groups in the experimental branches, but not in others. It appeared that in some cases the consequences were due to an increase in participative control processes, while in others, they were due to an increase in directive management. It is concluded that the effects of different feedback system designs are probably contingent on contextual factors such as the problem-solving skills and orientations of organization members, the nature of the reward systems existing in the organization, and task and individual differences among work units.
- Research Article
10
- 10.1016/0303-2647(83)90014-x
- Jan 1, 1983
- BioSystems
Optimal control mode of a biochemical feedback system
- Conference Article
- 10.1109/pac.2001.986767
- Jun 18, 2001
Several DSP based feedback systems are developed in SRRC. These feedback systems include of longitudinal feedback system, global orbit feedback system and local orbit feedback system. Many development and diagnostic tools are necessary to be integrated in the feedback systems to support various beam study and system performance inspection. These systems are developed by the Commercial Off-The Shelf (COTS) extensive products those are to reduce development times, to improve integration quality, to reduce the cost of maintenance in various feedback systems. The implement features will be summarized in this report.
- Research Article
- 10.31651/2524-2660-2021-2-85-91
- Jan 1, 2021
- Cherkasy University Bulletin: Pedagogical Sciences
The educational process organization at higher military educational institutions (HMEIs) has many features that should be taken into account while develop-ing the HMEI internal quality assurance system, as well as in the preparation process for curricula / educational programs accreditation. Based on the experience gained in preparing universities for curricula accreditation and conducting accreditations as experts, the authors deter-mine that these features affect the evaluation results concerning the level of compliance with criterion 8 "Inter-nal quality assurance of curriculum", in particular under sub-criterion 8.2. "Learners for higher education directly and through student self-government bodies are involved in the process of periodic review of the curriculum and other procedures to ensure its quality as partners." Ac-cording to the analysis of the recent research, it has been defined that the need to solve the problem of the feedback system development for a HMEI is topical not exclusively for Ukraine, but also for the countries of high socio-economic development. The analyzed publications offer various time-tested ways to solve this problem. However, there are no publications on the feedback system organi-zation for a HMEI with regard to the impact of the existing specificity. Methods: analysis and synthesis. Results. The methodology has been defined for the feedback system organization at a HMEI with regard to the impact of the existing specificity of the latter. Originality. The authors of the article suggest that the HMEI’s features to be taken into account at the feedback system organization are: HMEI’s corporate culture, based on high hierarchy, the relationship of the participants in the educational process on the principle "supervisor (in-structor) is always right", which complicates the student-centered learning; various categories of learners (stu-dents, students of the reserve officers training program, learners at the tactical level of military education (cadets), learners at the operational level of military education (officers), individuals appointed to positions after practical activities in the troops (learners of advanced training courses for pedagogical and scientific-pedagogical em-ployees)) that differ in age, gender and activity specificity. The methodology components of the feedback system organization at a HMEI with regard to the impact of its specificity are the following: 1) input data (existing re-quirements for the feedback system at a HMEI); 2) deter-mined classification of the HMEI’s learners’ characteris-tics, and methods of taking the latter into consideration in the process of the educational process organization; 3) defined methodology for structuring a typical feedback survey questionnaire with regard to the learners’ charac-teristics to ensure feedback; 4) identified components of the feedback system, based on the international experi-ence of implementing student-centered learning at a HMEI; 5) outlined conditions for providing feedback at a HMEI based on the research-grounded results; 6) devel-opment and approval of the HMEI’s normative legal act on "Regulations on the feedback system"; 7) changes to the curriculum of the advanced training courses for scientific and pedagogical-scientific employees in order to develop a culture of quality in the academic community of the educa-tional institution. The scheme of methodology of the feed-back system organization at a HMEI with regard to the impact of the existing specificity is cyclic. The cyclicity depends on new input data (new requirements for the feedback system at a higher educational institution), which may change over time. According to the research results, the methodology of the feedback system organization at a higher military educational institution has been suggested with regard to the impact of the existing specificity.
- Research Article
23
- 10.1136/bmjopen-2019-029971
- Oct 1, 2019
- BMJ Open
ObjectiveTo assess the potential clinical and economic impact of introducing an electronic audit and feedback system into current practice to improve hand hygiene compliance in a hypothetical general hospital in...
- Conference Article
- 10.1109/cdc.1975.270693
- Dec 1, 1975
One has a distinct feeling that control theory is approaching a stalemate in the sense that one no longer sees contributions in the literature, which represent large strides. Rather, one has the feeling that the field is jogging in place. This state of affairs can be attributed to two factors. (i) There has been a great deal of very capable work over the last decade, that has thoroughly investigated the "canonical" questions raised in the fifties and early sixties. To the extent that some of these questions could be answered, they were answered, and those that remain open are largely intractable. (ii) We appear to be locked into a set of "canonical" problems and there has been little, if any attempt to raise new ones. A symptomatic area in this respect is pole placement. There has been a great deal of effort devoted to the canonical question of minimal compensators needed for arbitrary pole placement, and hardly any progress has been attempted on the unspoken next question which is that of how these pole placement results should be utilized in feed-back control system synthesis. In fact, it seems certain that the interesting results of the future should deal with synthesis. It is an area of great and largely unexplored possibilities. Among these: (i) techniques for interactive, computer aided: design; (ii) design techniques based on the use of trade off characteristics; (iii) the use of minicomputers in variable structure sampled data feedback systems; (iv) extensive use of optimization algorithms in the design of nonlinear feedback systems, partly as a tool for coping with nonlinearities and partly (simultaneously) with constraints in the time and frequency domains; (v) the specification of new types of control systems based on different performance expectations from those in current use. In short, it only seems that we are in a stalemate. By moving on to a new wave of exciting and meaningful research activity in the control area.
- Research Article
5
- 10.1016/j.jacr.2015.05.011
- Jul 14, 2015
- Journal of the American College of Radiology
Effectively Acquiring and Using Feedback
- Ask R Discovery
- Chat PDF
AI summaries and top papers from 250M+ research sources.