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Journal articles on the topic 'Expert heuristics'

Author: Grafiati

Published: 29 June 2021

Last updated: 29 July 2025

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1

Uzoma, Ihediohamma Raphael, Shelena Soosay Nathan, Nor Laily Hashim, and Hanif. "INCLUSIVITY IN MOBILE SHOPPING APPS: AN EMPHASIS ON LEARNABILITY CHECKLISTS IN CONDUCTING A HEURISTIC EVALUATION." Journal of Digital System Development 1 (October 31, 2023): 46–58. http://dx.doi.org/10.32890/jdsd2023.1.5.

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Studies on heuristic evaluation of mobile applications have been an emerging domain. However, existing checklists are too general and unable to clearly define the measurements for evaluating mobile shopping applications. This paper proposes suitable heuristics under the learnability measure for a checklist in conducting heuristic evaluation in supporting the inclusivity of a mobile shopping application. This study was conducted in two phases: generate the learnability measures based on heuristics and sub-heuristics from content analysis and verify the proposed heuristic evaluation checklist fr

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Ilyina, I. E., M. V. Sergeev, and E. A. Nelutskova. "HEURISTICS IN EXPERT ACTIVITY IN INVESTIGATION OF ROAD ACCIDENTS." World of Transport and Transportation 16, no. 1 (2018): 218–24. http://dx.doi.org/10.30932/1992-3252-2018-16-1-17.

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[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT In dealing with issues related to investigation and examination of road accidents, preference is usually given to measurements and quant i tat ive assessments, while qualitative analysis and assessment are allowed. When carrying out expert studies, the source of the initial data is the results of an inspection of the place of the road accident, inspection of vehicles, photographs, diagrams showing traces and other objects bearing information about the even

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Ozdowska, Anne, Penny Sweetser, and Mahsuum Daiiani. "A Scoping Review of Heuristics in Videos Games Research: Definitions, Development, Application, and Operationalisation." Proceedings of the ACM on Human-Computer Interaction 7, CHI PLAY (2023): 402–24. http://dx.doi.org/10.1145/3611035.

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Heuristics present a cheap and effective way of evaluating usability. However, in video games, evaluating unique player experiences that are dependent on individual preferences and abilities presents a challenge that goes beyond usability. Video games are more than just functional software, so games heuristics have been adapted to help examine functionality and experience. This paper reports on how papers published in the ACM Digital Library between 2012 and 2022 develop and apply heuristics in video games research. We found that heuristics are often used outside their intended purpose of bein

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Khowaja, Kamran, and Dena Al-Thani. "New Checklist for the Heuristic Evaluation of mHealth Apps (HE4EH): Development and Usability Study." JMIR mHealth and uHealth 8, no. 10 (2020): e20353. http://dx.doi.org/10.2196/20353.

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Background Diabetes is one of the leading causes of death in developing countries. Existing mobile health (mHealth) app design guidelines lack a description of the support of continuous self-monitoring of health status, behavior change to improve and adopt a healthy lifestyle, and communication with health educators and health care professionals in case of any need. Objective This paper presents the development of a specialized set of heuristics called heuristic evaluation for mHealth apps (HE4EH) as an all-in-one tool and its applicability by performing a heuristic evaluation of an mHealth ap

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Gonzaga de Oliveira, Sanderson L., and Libério M. Silva. "Low-cost heuristics for matrix bandwidth reduction combined with a Hill-Climbing strategy." RAIRO - Operations Research 55, no. 4 (2021): 2247–64. http://dx.doi.org/10.1051/ro/2021102.

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This paper studies heuristics for the bandwidth reduction of large-scale matrices in serial computations. Bandwidth optimization is a demanding subject for a large number of scientific and engineering applications. A heuristic for bandwidth reduction labels the rows and columns of a given sparse matrix. The algorithm arranges entries with a nonzero coefficient as close to the main diagonal as possible. This paper modifies an ant colony hyper-heuristic approach to generate expert-level heuristics for bandwidth reduction combined with a Hill-Climbing strategy when applied to matrices arising fro

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Roosan, Don, Justin Clutter, Brian Kendall, and Charlene Weir. "Power of Heuristics to Improve Health Information Technology System Design." ACI Open 06, no. 02 (2022): e114-e122. http://dx.doi.org/10.1055/s-0042-1758462.

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Abstract Background Clinical decision-making can be prone to error if health system design does not match expert clinicians' higher cognitive skills. There is a gap in understanding the need for the importance of heuristics in clinical decision-making. The heuristic approach can provide cognitive support in designing intuitive health information systems for complex cases. Objective We explored complex decision-making by infectious diseases (ID) clinicians focusing on fast and frugal heuristics. We hypothesized that ID clinicians use simple heuristics to understand complex cases using their exp

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Rassbach, Laura, Elizabeth Bradley, and Ken Anderson. "Providing Decision Support for Cosmogenic Isotope Dating." AI Magazine 32, no. 2 (2011): 69. http://dx.doi.org/10.1609/aimag.v32i2.2349.

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Human experts in scientific fields routinely work with evidence that is noisy and untrustworthy, heuristics that are unproven, and possible conclusions that are contradictory. We present a deployed AI system, Calvin, for cosmogenic isotope dating, a domain that is fraught with these difficult issues. Calvin solves these problems using an argumentation framework and a system of confidence that uses two-dimensional vectors to express the quality of heuristics and the applicability of evidence. The arguments it produces are strikingly similar to published expert arguments. Calvin is in daily use

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Rassbach, Laura, Elizabeth Bradley, and Ken Anderson. "Providing Decision Support for Cosmogenic Isotope Dating." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 2 (2010): 1833–38. http://dx.doi.org/10.1609/aaai.v24i2.18821.

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Human experts in scientific fields routinely work with evidence that is noisy and untrustworthy, heuristics that are unproven, and possible conclusions that are contradictory. We present a fully implemented AI system, Calvin, for cosmogenic isotope dating, a domain that is fraught with these difficult issues. Calvin solves these problems using an argumentation framework and a system of confidence that uses two-dimensional vectors to express the quality of heuristics and the applicability of evidence. The arguments it produces are strikingly similar to published expert arguments. Calvin is in d

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Larkin, Sarah, William Collicott, and Jason Hiebel. "Modeling Expert Knowledge in a Heuristic-Based Gin Rummy Agent." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (2021): 15577–82. http://dx.doi.org/10.1609/aaai.v35i17.17834.

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We developed a heuristic-based reflex agent, Tonic, for the EAAI 2021 Undergraduate Research Challenge, which tasks competitors to create an autonomous player to play the card game gin rummy. Tonic's heuristics originate in expert knowledge and inform decision making for the three actions comprising a turn: drawing a card, discarding a card, and deciding when to knock. However, because these strategies are based in human intuition, there is often a lack of specificity to directly model them as algorithms. We developed parameterized models describing that intuition based on factors such as the

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Frank, Lukas, Rouven Poll, Maximilian Roeglinger, and Rupprecht Lea. "Design heuristics for customer-centric business processes." Business Process Management Journal 26, no. 6 (2020): 1283–305. http://dx.doi.org/10.1108/bpmj-06-2019-0257.

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PurposeCustomer centricity has evolved into a success factor for many companies, requiring all corporate activities – including business processes – to be aligned with customer needs. With most existing approaches to business process (re-)design focusing on process efficiency, customers are often treated as second-class citizens. Despite emergent research on customer process management, there is a lack of guidance on how to design customer-centric business processes.Design/methodology/approachThe authors conducted a structured literature review and analyzed companies awarded for outstanding cu

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Mehrez, A., and G. Steinberg. "Rule-Based Expert System versus Novices' Heuristics: A Matching Identification Problem." Psychological Reports 82, no. 3_suppl (1998): 1423–31. http://dx.doi.org/10.2466/pr0.1998.82.3c.1423.

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The present study focused on encoding and retrieval of knowledge as aids to decision-making by comparing the performance of rule-based expert systems and novices' heuristics within the framework of a matching identification problem. A rule-based expert system is developed with a computerized controlled procedure to evaluate and compare its performance with search strategies employed by novices. Analysis indicated that, as problem size increased, the system's outcome compared to novices' heuristics is improved.

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Dang, Yinglong, Xiaoguang Gao, and Zidong Wang. "Choice Function-Based Hyper-Heuristics for Causal Discovery under Linear Structural Equation Models." Biomimetics 9, no. 6 (2024): 350. http://dx.doi.org/10.3390/biomimetics9060350.

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Causal discovery is central to human cognition, and learning directed acyclic graphs (DAGs) is its foundation. Recently, many nature-inspired meta-heuristic optimization algorithms have been proposed to serve as the basis for DAG learning. However, a single meta-heuristic algorithm requires specific domain knowledge and empirical parameter tuning and cannot guarantee good performance in all cases. Hyper-heuristics provide an alternative methodology to meta-heuristics, enabling multiple heuristic algorithms to be combined and optimized to achieve better generalization ability. In this paper, we

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Talero-Sarmiento, Leonardo, Marc Gonzalez-Capdevila, Antoni Granollers, Henry Lamos-Diaz, and Karine Pistili-Rodrigues. "Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment." Big Data and Cognitive Computing 8, no. 6 (2024): 69. http://dx.doi.org/10.3390/bdcc8060069.

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This study explores the implementation of the analytic hierarchy process in usability evaluations, specifically focusing on user interface assessment during software development phases. Addressing the challenge of diverse and unstandardized evaluation methodologies, our research develops and applies a tailored algorithm that simplifies heuristic prioritization. This novel method combines the analytic hierarchy process framework with a bespoke algorithm that leverages transitive properties for efficient pairwise comparisons, significantly reducing the evaluative workload. The algorithm is desig

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Beyer, F., D. Schneider, and A. Schumacher. "Finding three-dimensional layouts for crashworthiness load cases using the graph and heuristic based topology optimization." Structural and Multidisciplinary Optimization 63, no. 1 (2020): 59–73. http://dx.doi.org/10.1007/s00158-020-02768-0.

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AbstractIn this paper we present a new procedure using the graph and heuristic based topology optimization in order to find layouts for three-dimensional frame structures under crash loads. A three-dimensional graph describes the geometry and is used to derive a finite element shell model. The model of the frame structure consists of different profiles with continuous cross-sections. The ends of the profiles are currently rigidly connected. Each cross-section is defined by an individual two-dimensional graph. After performing a simulation its results are used by competing heuristics to propose

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Montgomery, Lauren E., and Michael D. Lee. "Expert and novice sensitivity to environmental regularities in predicting NFL games." Judgment and Decision Making 16, no. 6 (2021): 1370–91. http://dx.doi.org/10.1017/s1930297500008469.

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AbstractWe study whether experts and novices differ in the way they make predictions about National Football League games. In particular, we measure to what extent their predictions are consistent with five environmental regularities that could support decision making based on heuristics. These regularities involve the home team winning more often, the team with the better win-loss record winning more often, the team favored by the majority of media experts winning more often, and two others related to surprise wins and losses in the teams’ previous game. Using signal detection theory and hier

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Chow, K. C. Ander, and W. E. Watt. "A knowledge-based expert system for flood frequency analysis." Canadian Journal of Civil Engineering 17, no. 4 (1990): 597–609. http://dx.doi.org/10.1139/l90-068.

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Single-station flood frequency analysis is an important element in hydrotechnical planning and design. In Canada, no single statistical distribution has been specified for floods; hence, the conventional approach is to select a distribution based on its fit to the observed sample. This selection is not straightforward owing to typically short record lengths and attendant sampling error, magnified influence of apparent outliers, and limited evidence of two populations. Nevertheless, experienced analysts confidently select a distribution for a station based only on a few heuristics. A knowledge-

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Dobre, Jolie, Craig Harrington, Jennifer Herout, et al. "Rapid Heuristic Evaluation: Ensuring Fast and Reliable Usability Support." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 610–14. http://dx.doi.org/10.1177/1541931213601638.

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The U.S. Department of Veterans Affairs (VA) Human Factors Engineering (HFE) office developed a usability testing method called “Rapid Heuristic Evaluation” (Rapid HE) that offers benefits to users of the Agile development process. Rapid HE addresses the need to combine fast, reliable usability support with feedback from clinical subject matter experts (SMEs) during the design and development of an electronic health record (EHR). The Rapid HE process leverages established EHR heuristics to accelerate wireframe review and approval, and merges a traditional heuristic evaluation (HE) with an expe

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CHAN, CHRISTINE WAICHI, WEERAPONG KRITPIPHAT, and PAITOON TONTIWACHWUTHIKUL. "KNOWLEDGE ENGINEERING OF A MONITORING AND CONTROL DECISION SUPPORT SYSTEM." International Journal of Software Engineering and Knowledge Engineering 10, no. 03 (2000): 301–18. http://dx.doi.org/10.1142/s0218194000000183.

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This paper presents the Object-Oriented Knowledge Engineering (OOKE) methodology and its application in developing an expert system. OOKE is an expert system development methodology which incorporates the conceptual modelling tool of Inferential Modelling Technique into the analysis model of the Object-Oriented Software Engineering methodology. It was applied to develop a supervisory and decision support system for monitor and control of a water distribution system called the Water Advisor. The expertise, heuristics and reasoning knowledge of experts were acquired and then formulated in a mode

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Barai, Sudhikumar, and Padmesh Charan Pandey. "KNOWLEDGE BASED EXPERT SYSTEM APPROACH TO INSTRUMENTATION SELECTION (INSEL)." TRANSPORT 19, no. 4 (2004): 171–76. http://dx.doi.org/10.3846/16484142.2004.9637971.

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The selection of appropriate instrumentation for any structural measurement of civil engineering structure is a complex task. Recent developments in Artificial Intelligence (AI) can help in an organized use of experiential knowledge available on instrumentation for laboratory and in‐situ measurement. Usually, the instrumentation decision is based on the experience and judgment of experimentalists. The heuristic knowledge available for different types of measurement is domain dependent and the information is scattered in varied knowledge sources. The knowledge engineering techniques can help in

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Gilbert-Saad, Antoine, Rod B. McNaughton, and Frank Siedlok. "Inexperienced decision-makers' use of positive heuristics for marketing decisions." Management Decision 59, no. 7 (2021): 1706–27. http://dx.doi.org/10.1108/md-09-2019-1330.

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PurposeResearch has reliably demonstrated that decision-makers, especially expert ones, use heuristics to make decisions under uncertainty. However, whether decision-makers with little or no experience also do, and if so, how? is unknown. This research addresses this issue in the marketing context by studying how a group of young and generally inexperienced entrepreneurs decide when asked to set a price and choose a distribution channel in a scenario involving a hypothetical firm.Design/methodology/approachThe authors used think-aloud protocols to elicit data and then used inductive procedures

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Kulshrestha, S., and R. Khosa. "CLIPS based decision support system for Water Distribution Networks." Drinking Water Engineering and Science Discussions 4, no. 1 (2011): 1–38. http://dx.doi.org/10.5194/dwesd-4-1-2011.

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Abstract. The Water Distribution Networks (WDN) are managed by experts, who, over the years of their association and responsibility, acquire an empirical knowledge of the system and, characteristically, this knowledge remains largely confined to their respective personal domains. In the event of any new information and/or emergence of a new problem, these experts apply simple heuristics to design corrective measures and cognitively seek to predict network performance. The human interference leads to inefficient utilization of resources and unfair distribution. Researchers over the past, have t

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CHESNOKOVA, ELENA. "THE RATIO OF STANDARDIZATION AND HEURISTICS IN FORENSIC SCIENCE." Lobbying in the Legislative Process 1, no. 1 (2022): 32–35. http://dx.doi.org/10.33693/2782-7372-2022-1-1-32-35.

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The article considers forensic expert activity as a process, which from the point of view of the management system is a set of interrelated standard operations and a creative approach, due to the specifics and novelty of the research objects, the specifics of the tasks assigned to the expert by the customer, as well as different levels of development of methodological support for genera and types of forensic science.

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Poleszak, Iwona, and Mariusz Dzieńkowski. "User experience analysis while visiting selected virtual museums." Journal of Computer Sciences Institute 25 (December 30, 2022): 384–92. http://dx.doi.org/10.35784/jcsi.3057.

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The paper concerns the study of User Experience by focusing on the usability and user satisfaction aspects. The purpose of this paper was to evaluate the usability of two selected virtual museums conducted with 3 research methods: using an oculograph, a System Usability Scale (SUS) usability survey and Nielsen heuristic. The examination was conducted on the following museums that offer virtual tours: Muzeum Instrumentów Muzycznych in Poznan and Muzeum Zamojskie in Zamosc. The participants of the eye tracking experiment and the SUS survey were 22 students of Computer Science at the Politechnika

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O’Brien, Timothy L., Stephen L. Hawkins, and Adam Loesch. "Scientific Disciplines and the Admissibility of Expert Evidence in Courts." Socius: Sociological Research for a Dynamic World 8 (January 2022): 237802312211080. http://dx.doi.org/10.1177/23780231221108044.

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The authors examine how people interpret expert claims when they do not share experts’ technical understanding. The authors review sociological research on the cultural boundaries of science and expertise, which suggests that scientific disciplines are heuristics nonspecialists use to evaluate experts’ credibility. To test this idea, the authors examine judicial decisions about contested expert evidence in U.S. district courts ( n = 575). Multinomial logistic regression results show that judges favor evidence from natural scientists compared with social scientists, even after adjusting for oth

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Muhammad, AbdulHafeez, and Iqra Ashraf. "A Survey on Evaluating Usability of Visual Studio." Pakistan Journal of Engineering and Technology 5, no. 1 (2022): 23–28. http://dx.doi.org/10.51846/vol5iss1pp23-28.

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Programing plays an important role in Computer Science (CS) students during their degrees. The study was conducted to evaluate the Microsoft visual studio programming tool to find out usability issues and provides the recommendations. The main goal of this research was to initiate dialog in the CS community to address usability issues can provide better interface to improve the usability of such kind of programming framework. It has been examined by evaluating qualitatively and quantitatively the interface with novice and expert users. Quantitative assessment is done in university with the hel

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Murlidharan, T. L., H. B. Aravind, G. V. Suryakumar, and N. V. Raman. "Expert Tower Analysis and Design System. I: Architecture and Heuristics." Journal of Computing in Civil Engineering 5, no. 2 (1991): 175–92. http://dx.doi.org/10.1061/(asce)0887-3801(1991)5:2(175).

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Farooq, Sunar Mahammad. "Heuristics Approach Based Expert System for Covid-19 Infection Susceptibility." JOURNAL OF ALGEBRAIC STATISTICS 13, no. 3 (2022): 46–51. https://doi.org/10.5281/zenodo.7436464.

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A heuristic approach-based top-down automaton for assessing the potential risk of covid-19 is presented here. A set of non-obvious factors are employed to assess the risk of covid-19 infection in a person. A minimum of five factors are used as input factors for this algorithmic flow. One example is the number of close relatives the person has being taken as a input for risk calculation of covid-19

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Gursoz, E. L., and F. B. Prinz. "The Use of Robotics and Expert Systems for the Manufacture of Structural Beams." Journal of Offshore Mechanics and Arctic Engineering 110, no. 4 (1988): 330–36. http://dx.doi.org/10.1115/1.3257070.

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This paper describes an expert system for a class of automated cutting operations which are of practical use in the offshore manufacturing industry. These operations include plasma cutting, oxy-fuel cutting, laser cutting and water-jet cutting. The common features in these processes, which define this class of cutting operations, are: 1) the work material is cut by the sweeping action of a line segment; 2) the cutting effect terminates at an imprecise point along the cutting segment; 3) the cutting task at hand can be fully described by the surface-boundary representation of the workpiece and

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Solano, Andrés, Juan Sebastian Sinisterra, Juan Sebastian Parra, David Castro, and Carlos Peláez. "Usability Heuristics for Applications in the Context of Resilient Cities." Interaction Design and Architecture(s), no. 56 (March 15, 2023): 174–200. http://dx.doi.org/10.55612/s-5002-056-009.

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This research establishes a set of usability heuristics for designers and developers of interactive software systems that are used in the context of resilient cities, and thus contributes to the specification of a tool for the evaluation and design of solutions for this context. The article describes the research process carried out to identify a set of 15 usability heuristics, which are grouped into five families: (1) design and aesthetics, (2) flexibility and navigation, (3) errors and help, (4) information use and display, and (5) community. The heuristics were validated through various mec

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Vries, A. De. "Uncertainty in Expert Policy Advice: Variation in Heuristics for Dealing With Uncertainy in Dutch Expert Institutes." Epidemiology 17, Suppl (2006): S527. http://dx.doi.org/10.1097/00001648-200611001-01419.

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Andreev, G. N., and O. K. Argirov. "Implementation of human expert heuristics in computer supported infrared spectra interpretation." Journal of Molecular Structure 347 (March 1995): 439–48. http://dx.doi.org/10.1016/0022-2860(95)08566-e.

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MEHREZ, A. "RULE-BASED EXPERT SYSTEM VERSUS NOVICES' HEURISTICS: A MATCHING IDENTIFICATION PROBLEM." Psychological Reports 82, no. 3 (1998): 1423. http://dx.doi.org/10.2466/pr0.82.3.1423-1431.

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Yilmaz, Seda, and Colleen M. Seifert. "Creativity through design heuristics: A case study of expert product design." Design Studies 32, no. 4 (2011): 384–415. http://dx.doi.org/10.1016/j.destud.2011.01.003.

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Craandijk, Dennis, and Floris Bex. "Enforcement Heuristics for Argumentation with Deep Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 5 (2022): 5573–81. http://dx.doi.org/10.1609/aaai.v36i5.20497.

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In this paper, we present a learning-based approach to the symbolic reasoning problem of dynamic argumentation, where the knowledge about attacks between arguments is incomplete or evolving. Specifically, we employ deep reinforcement learning to learn which attack relations between arguments should be added or deleted in order to enforce the acceptability of (a set of) arguments. We show that our Graph Neural Network (GNN) architecture EGNN can learn a near optimal enforcement heuristic for all common argument-fixed enforcement problems, including problems for which no other (symbolic) solvers

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Prechelt, Lutz, and Alexander Pepper. "Bflinks: Reliable Bugfix Links via Bidirectional References and Tuned Heuristics." International Scholarly Research Notices 2014 (October 29, 2014): 1–13. http://dx.doi.org/10.1155/2014/701357.

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Background. Data from software version archives and defect databases can be used for defect insertion circumstance analysis and defect prediction. The first step in such analyses is identifying defect-correcting changes in the version archive (bugfix commits) and enriching them with additional metadata by establishing bugfix links to corresponding entries in the defect database. Candidate bugfix commits are typically identified via heuristic string matching on the commit message. Research Questions. Which filters could be used to obtain a set of bugfix links? How to tune their parameters? What

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Alqurni, Jehad, Roobaea Alroobaea, and Mohammed Alqahtani. "Effect of User Sessions on the Heuristic Usability Method." International Journal of Open Source Software and Processes 9, no. 1 (2018): 62–81. http://dx.doi.org/10.4018/ijossp.2018010104.

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Heuristic evaluation (HE) is a widely used method for assessing software systems. Several studies have sought to improve the effectiveness of HE by developing its heuristics and procedures. However, few studies have involved the end-user, and to the best of the authors' knowledge, no HE studies involving end-users with non-expert evaluators have been reported. Therefore, the aim of this study is to investigate the impact of end-users on the results obtained by a non-expert evaluator within the HE process, and through that, to explore the number of usability problems and their severity. This ar

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Mtebe, Joel S. "Examining user experience of eLearning systems implemented in two universities in Tanzania." Interactive Technology and Smart Education 17, no. 1 (2019): 39–55. http://dx.doi.org/10.1108/itse-05-2019-0025.

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Purpose This study aims to investigate the factors that influence user experience (UX) of eLearning systems implemented in two institutions in Tanzania. Design/methodology/approach The study adopted questionnaire consisting of Nielsen’s heuristics and didactic metrics as pragmatic metrics and hedonic metrics followed by focus group discussions with students. Findings The study found that the eLearning system of University of Dar es Salaam had 43 UX problems related to Nielsen’s heuristics and 54 UX problems related to didactic heuristics. The eLearning system of the Open University of Tanzania

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Eccles, David W., Susanne E. Walsh, and David K. Ingledew. "The use of heuristics during route planning by expert and novice orienteers." Journal of Sports Sciences 20, no. 4 (2002): 327–37. http://dx.doi.org/10.1080/026404102753576107.

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Mannino, Michael V., and Vijay S. Mookerjee. "Optimizing Expert Systems: Heuristics for Efficiently Generating Low-Cost Information Acquisition Strategies." INFORMS Journal on Computing 11, no. 3 (1999): 278–91. http://dx.doi.org/10.1287/ijoc.11.3.278.

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Pjesivac, Ivanka, Nicholas Geidner, and Jaclyn Cameron. "Social credibility online: The role of online comments in assessing news article credibility." Newspaper Research Journal 39, no. 1 (2018): 18–31. http://dx.doi.org/10.1177/0739532918761065.

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This 2 × 2 experimental study (N = 196) tested the effects of source expertise and opinion valence in readers’ comments on the credibility of an online news story about genetically modified organisms (GMOs). Source expertise had a significant influence on perceptions of article credibility; articles were judged more credible when public comments embedded in the story were from expert sources (e.g., scientists) rather than nonexpert sources (e.g., Twitter users). Effects were larger on high-frequency news users, regardless of whether comments were for or against GMOs. Results suggest that Inter

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Muhamediyeva, D. T., L. U. Safarova, and R. F. Ruzikulov. "Expert systems for diagnostics of infectious diseases in cattle." BIO Web of Conferences 71 (2023): 01073. http://dx.doi.org/10.1051/bioconf/20237101073.

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Expert systems designed to identify diseases in cattle may use a variety of sources of information such as clinical data, signs of disease, medical history, laboratory results, environmental exposure and other relevant factors. They can be developed based on rules, heuristics, or machine learning, using a large amount of data to train the model. The expert system may provide the veterinarian with a list of possible diagnoses, ranked by probability, based on the data provided. She may also recommend further investigations or tests for a more accurate diagnosis. The developed expert system for v

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Noorbehbahani, Fakhroddin, Kingson Fung, and Kiemute Oyibo. "Current State of Serious Games in Human Trafficking: Evaluation, Gaps, and Future Research Directions." Multimodal Technologies and Interaction 8, no. 11 (2024): 95. http://dx.doi.org/10.3390/mti8110095.

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Addressing human trafficking is crucial due to its severe impact on human rights, dignity, and well-being. Serious games refer to digital games that are designed to entertain while also accomplishing at least one additional objective, such as learning or health promotion. Serious games play a significant role in raising awareness, training professionals, fostering empathy, and advocating for policy improvements related to human trafficking. In this study, we systematically examine and assess the current landscape of serious games addressing human trafficking to unveil the existing state, pinpo

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Lin, Christopher, Mausam, and Daniel Weld. "Towards a Language for Non-Expert Specification of POMDPs for Crowdsourcing." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (November 3, 2013): 46–47. http://dx.doi.org/10.1609/hcomp.v1i1.13117.

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Crowdsourcing requesters are trapped between a rock and a hard place. Typically they specify their crowdsourcing workflows procedurally, but current languages commit them to overly strict and static policies that waste human effort. While optimizing workflows with more sophisticated tools like POMDPs can significantly reduce labor costs, such advanced AI techniques are hard to use and understand. We report on our progress in developing Clowder, a system that provides the user with an adaptive programming language that looks and feels like Lisp, yet abstracts over POMDPs so that non-experts can

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Acosta-Vargas, Patricia, Luis Salvador-Ullauri, and Sergio Luján-Mora. "A Heuristic Method to Evaluate Web Accessibility for Users with Low Vision." IEEE Access 7 (September 2, 2019): 125634–48. https://doi.org/10.1109/ACCESS.2019.2939068.

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Checking the accessibility of a website is a significant challenge for accessibility experts. Users who suffer from age-related changes, such as low vision, poor hearing, and diminishing motor skills, among others, have problems accessing the services offered by the web. Currently, there are qualitative and quantitative methods to check if a website is accessible. Most methods apply automatic tools because they are low cost, but they do not present an ideal solution. Instead, heuristic methods require manual support that will help the expert to assess accessibility by establishing severity ran

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Stuart, Neil A., David M. Schultz, and Gary Klein. "Maintaining the Role of Humans in the Forecast Process: Analyzing the Psyche of Expert Forecasters." Bulletin of the American Meteorological Society 88, no. 12 (2007): 1893–98. http://dx.doi.org/10.1175/bams-88-12-1893.

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The Second Forum on the Future Role of the Human in the Forecast Process occurred on 2–3 August 2005 at the American Meteorological Society's Weather Analysis and Forecasting Conference in Washington, D.C. The forum consisted of three sessions. This paper discusses the second session, featuring three presentations on the cognitive and psychological aspects of expert weather forecasters. The first presentation discussed the learning gap between students (goal seekers) and teachers (knowledge seekers)—a similar gap exists between forecasters and researchers. In order to most effectively train st

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Schrempf, Patrick, Hannah Watson, Eunsoo Park, et al. "Templated Text Synthesis for Expert-Guided Multi-Label Extraction from Radiology Reports." Machine Learning and Knowledge Extraction 3, no. 2 (2021): 299–317. http://dx.doi.org/10.3390/make3020015.

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Training medical image analysis models traditionally requires large amounts of expertly annotated imaging data which is time-consuming and expensive to obtain. One solution is to automatically extract scan-level labels from radiology reports. Previously, we showed that, by extending BERT with a per-label attention mechanism, we can train a single model to perform automatic extraction of many labels in parallel. However, if we rely on pure data-driven learning, the model sometimes fails to learn critical features or learns the correct answer via simplistic heuristics (e.g., that “likely” indica

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Tawafak, Ragad M., Ghaliya Alfarsi, and Sohail Iqbal Malik. "An Application of Heuristic and Meta Dendral Expert System." ITM Web of Conferences 42 (2022): 01009. http://dx.doi.org/10.1051/itmconf/20224201009.

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A mobile application is the best way to reach the largest possible number of users, and it is a smart idea and dealing with it is very easy. In the Corona pandemic, many Mobile applications appeared that helped the community with the necessary precautions, Therefore, we designed an application on the phone to allow patients to book an appointment and choose the appropriate health and medical services, and it also allows for a PCR examination to detect Coronavirus, By making an appointment and going to the patient’s home while taking preventive precautions from Corona. Derivation motor is const

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Baguley, Thom, and S. Ian Robertson. "Where does fast and frugal cognition stop? The boundary between complex cognition and simple heuristics." Behavioral and Brain Sciences 23, no. 5 (2000): 742–43. http://dx.doi.org/10.1017/s0140525x0023344x.

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Simple heuristics that make us smart presents a valuable and valid interpretation of how we make fast decisions particularly in situations of ignorance and uncertainty. What is missing is how this intersects with thinking under even greater uncertainty or ignorance, such as novice problem solving, and with the development of expert cognition.

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Borodin, A., R. El-Yaniv, and V. Gogan. "Can We Learn to Beat the Best Stock." Journal of Artificial Intelligence Research 21 (May 1, 2004): 579–94. http://dx.doi.org/10.1613/jair.1336.

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A novel algorithm for actively trading stocks is presented. While traditional expert advice and ``universal'' algorithms (as well as standard technical trading heuristics) attempt to predict winners or trends, our approach relies on predictable statistical relations between all pairs of stocks in the market. Our empirical results on historical markets provide strong evidence that this type of technical trading can ``beat the market'' and moreover, can beat the best stock in the market. In doing so we utilize a new idea for smoothing critical parameters in the context of expert learning.

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Hnatienko, Hryhorii, Alexander Kruglov, and Natalia Tmenova. "CALCULATION OF THE RESULTING RANKING OF ALTERNATIVES BASED ON THE USE OF INCOMPLETE EXPERT RANKINGS." Information systems and technologies security, no. 1 (3-4) (2020): 27–36. http://dx.doi.org/10.17721/ists.2020.4.27-37.

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Incomplete information is a characteristic feature of organizational systems. Incomplete data accompanies the decision-maker in all components of corporate security, namely the management of the organization, staff activities, company assets, implemented business processes, information and other resources, financial resources, used technologies, the company's reputation, etc. Nevertheless, a reasonable decision should be made. In particular, a common practical task is to rank alternatives of different nature. This is done by experts of high competence within the areas of responsibility. Natura

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