Academic literature on the topic 'User tasks'

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Journal articles on the topic "User tasks"

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Mehrotra, Rishabh. "Inferring User Needs & Tasks from User Interactions." ACM SIGIR Forum 52, no. 2 (January 17, 2019): 176–77. http://dx.doi.org/10.1145/3308774.3308806.

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Cordes, Richard E. "Task-Selection Bias: A Case for User-Defined Tasks." International Journal of Human-Computer Interaction 13, no. 4 (December 2001): 411–19. http://dx.doi.org/10.1207/s15327590ijhc1304_04.

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Harej, Viktor, and Maja Žumer. "Analysis of FRBR User Tasks." Cataloging & Classification Quarterly 51, no. 7 (October 2013): 741–59. http://dx.doi.org/10.1080/01639374.2013.785461.

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Zhang, Yin, and Athena Salaba. "User interface for FRBR user tasks in online catalogs." Proceedings of the American Society for Information Science and Technology 46, no. 1 (2009): 1–4. http://dx.doi.org/10.1002/meet.2009.1450460371.

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Lv, Ning, Jing Li Zhou, and Lei Hua Qin. "Using Context to Discern User Tasks on Desktop." Applied Mechanics and Materials 519-520 (February 2014): 318–21. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.318.

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The precise context of user tasks helps to ameliorate personal information management on desktop. This paper introduces a novel approach to discern user tasks using contextual information which is divided into two categories, user behavior based context and text based context. With the contextual information, user tasks are discerned by support vector machine (SVM) method. Experimental results showed the impact of distinct attributes of files on the performance of user task identification.
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Wu, Dapeng, Haopeng Li, and Ruyan Wang. "User Characteristic Aware Participant Selection for Mobile Crowdsensing." Sensors 18, no. 11 (November 15, 2018): 3959. http://dx.doi.org/10.3390/s18113959.

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Mobile crowdsensing (MCS) is a promising sensing paradigm that leverages diverse embedded sensors in massive mobile devices. One of its main challenges is to effectively select participants to perform multiple sensing tasks, so that sufficient and reliable data is collected to implement various MCS services. Participant selection should consider the limited budget, the different tasks locations, and deadlines. This selection becomes even more challenging when the MCS tries to efficiently accomplish tasks under different heat regions and collect high-credibility data. In this paper, we propose a user characteristics aware participant selection (UCPS) mechanism to improve the credibility of task data in the sparse user region acquired by the platform and to reduce the task failure rate. First, we estimate the regional heat according to the number of active users, average residence time of users and history of regional sensing tasks, and then we divide urban space into high-heat and low-heat regions. Second, the user state information and sensing task records are combined to calculate the willingness, reputation and activity of users. Finally, the above four factors are comprehensively considered to reasonably select the task participants for different heat regions. We also propose task queuing strategies and community assistance strategies to ensure task allocation rates and task completion rates. The evaluation results show that our mechanism can significantly improve the overall data quality and complete sensing tasks of low-heat regions in a timely and reliable manner.
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Cuomo, Donna L., Eliot Jablonka, and Jane N. Mosier. "Data Entry Interaction Techniques for Graphical User Interfaces." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 6 (October 1996): 370–74. http://dx.doi.org/10.1177/154193129604000611.

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Despite the widespread use of graphical forms-based interfaces, there are no widely accepted and proven interaction methods for supporting even the most common data entry tasks. We present three common data entry tasks (task flow, domain-related data entry, hierarchical list selection) and a variety of commonly-used designs to support them, and some pros and cons of each. We recommend that good designs to commonly performed data entry tasks be identified and catalogued
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Su, Hua, Qianqian Wu, Xuemei Sun, and Ning Zhang. "The User Participation Incentive Mechanism of Mobile Crowdsensing Network Based on User Threshold." Discrete Dynamics in Nature and Society 2020 (June 20, 2020): 1–8. http://dx.doi.org/10.1155/2020/2683981.

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Mobile crowdsensing (MCS) network means completing large-scale and complex sensing tasks in virtue of the mobile devices of ordinary users. Therefore, sufficient user participation plays a basic role in MCS. On the basis of studying and analyzing the strategy of user participation incentive mechanism, this paper proposes the user threshold-based cognition incentive strategy against the shortcomings of existing incentive strategies, such as task processing efficiency and budget control. The user threshold and the budget of processing subtasks are set at the very beginning. The platform selects the user set with the lowest threshold, and the best user for processing tasks according to users’ budget. The incentive cost of the corresponding users is calculated based on the user threshold at last. In conclusion, through the experiment validation and comparison with the existing user participation incentive mechanism, it was found that the user threshold-based incentive strategy is advantageous in improving the proportion of task completion and reducing the platform’s budget cost.
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Chen, Huihui, Bin Guo, Zhiwen Yu, and Liming Chen. "A location-constrained crowdsensing task allocation method for improving user satisfaction." International Journal of Distributed Sensor Networks 15, no. 10 (October 2019): 155014771988398. http://dx.doi.org/10.1177/1550147719883987.

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Mobile crowdsensing is a special data collection manner which collects data by smart phones taken by people every day. It is essential to pick suitable workers for different outdoor tasks. Constrained by participants’ locations and their daily travel rules, they are likely to accomplish light outdoor tasks by their way without extra detours. Previous researchers found that people prefer to accomplish a certain number of tasks at a time; thus, we focus on assigning light outdoor tasks to workers by considering two optimization objectives, including (1) maximizing the ratio of light tasks for different workers and (2) maximizing the worker’s satisfaction on assigned tasks. This task allocation problem is a non-deterministic polynomial-time-hard due to two reasons, that is, tasks and workers are many-to-many relationships and workers move from different places to different places. Considering both optimization objectives, we design the global-optimizing task allocation algorithm, which greedily selects the most appropriate participant until either no participant can be chosen or no tasks can be assigned. For the purpose of emulating real scenarios, different scales of maps, tasks, and workers are simulated to evaluate algorithms. Experimental results verify that the proposed global-optimizing method outperforms baselines on both maximization objectives.
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Rind, Alexander, Wolfgang Aigner, Markus Wagner, Silvia Miksch, and Tim Lammarsch. "Task Cube: A three-dimensional conceptual space of user tasks in visualization design and evaluation." Information Visualization 15, no. 4 (July 25, 2016): 288–300. http://dx.doi.org/10.1177/1473871615621602.

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User tasks play a pivotal role in visualization design and evaluation. However, the term ‘task’ is used ambiguously within the visualization community. In this article, we critically analyze the relevant literature and systematically compare definitions of ‘task’ and the usage of related terminology. In doing so, we identify a three-dimensional conceptual space of user tasks in visualization, referred to as the task cube, and the more precise concepts ‘objective’ and ‘action’ for tasks. We illustrate the usage of the task cube’s dimensions in an objective-driven visualization process, in different scenarios of visualization design and evaluation, and for comparing categorizations of abstract tasks. Thus, visualization researchers can better formulate their contributions which helps advance visualization as a whole.
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Dissertations / Theses on the topic "User tasks"

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Mehrotra, R. "Inferring user needs and tasks from user interactions." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10047203/.

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The need for search often arises from a broad range of complex information needs or tasks (such as booking travel, buying a house, etc.) which lead to lengthy search processes characterised by distinct stages and goals. While existing search systems are adept at handling simple information needs, they offer limited support for tackling complex tasks. Accurate task representations could be useful in aptly placing users in the task-subtask space and enable systems to contextually target the user, provide them better query suggestions, personalization and recommendations and help in gauging satisfaction. The major focus of this thesis is to work towards task based information retrieval systems - search systems which are adept at understanding, identifying and extracting tasks as well as supporting user’s complex search task missions. This thesis focuses on two major themes: (i) developing efficient algorithms for understanding and extracting search tasks from log user and (ii) leveraging the extracted task information to better serve the user via different applications. Based on log analysis on a tera-byte scale data from a real-world search engine, detailed analysis is provided on user interactions with search engines. On the task extraction side, two bayesian non-parametric methods are proposed to extract subtasks from a complex task and to recursively extract hierarchies of tasks and subtasks. A novel coupled matrix-tensor factorization model is proposed that represents user based on their topical interests and task behaviours. Beyond personalization, the thesis demonstrates that task information provides better context to learn from and proposes a novel neural task context embedding architecture to learn query representations. Finally, the thesis examines implicit signals of user interactions and considers the problem of predicting user’s satisfaction when engaged in complex search tasks. A unified multi-view deep sequential model is proposed to make query and task level satisfaction prediction.
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Ben, Lahmar Imen. "Continuity of user tasks execution in pervasive environments." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00789725.

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The proliferation of small devices and the advancements in various technologies have introduced the concept of pervasive environments. In these environments, user tasks can be executed by using the deployed components provided by devices with different capabilities. One appropriate paradigm for building user tasks for pervasive environments is Service-Oriented Architecture (SOA). Using SOA, user tasks are represented as an assembly of abstract components (i.e., services) without specifying their implementations, thus they should be resolved into concrete components. The task resolution involves automatic matching and selection of components across various devices. For this purpose, we present an approach that allows for each service of a user task, the selection of the best device and component by considering the user preferences, devices capabilities, services requirements and components preferences. Due to the dynamicity of pervasive environments, we are interested in the continuity of execution of user tasks. Therefore, we present an approach that allows components to monitor locally or remotely the changes of properties, which depend on. We also considered the adaptation of user tasks to cope with the dynamicity of pervasive environments. To overcome captured failures, the adaptation is carried out by a partial reselection of devices and components. However, in case of mismatching between an abstract user task and a concrete level, we propose a structural adaptation approach by injecting some defined adaptation patterns, which exhibit an extra-functional behavior. We also propose an architectural design of a middleware allowing the task's resolution, monitoring of the environment and the task adaptation. We provide implementation details of the middleware's components along with evaluation results
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Sayyaparaju, Vedha. "User-designed background tasks in App inventor." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100626.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 70).
In this thesis, I describe how I designed and built multiple components and extensions to App Inventor 2 that will allow application builders to create custom services and background tasks and to build applications that can interact with these services and tasks. Previously, the App Inventor platform only supported the creation of applications which had a screen in the foreground at all times. As such, the main abstraction of App Inventor was this notion of a "Screen". These screens could launch certain tasks to run in the background, but they were limited to the few tasks that were exposed by the App Inventor interface. Application builders could not design and customize their own background tasks. This restricted App Inventor users from building certain types of applications, for example, a music player application or an application that has heavy network communication. To enable users to build such applications, I extended the App Inventor platform to expose a "Task" object in addition to the existing "Screen" object. I created a messaging system which would allow Screens and Tasks to communicate with each other. I also developed additional task components that could be contained in these new Task objects. Users can customize the functionality of Tasks by putting together multiple task components. In this way, App Inventor users can now build more functional applications and explore a part of the Android SDK that was previously out of reach.
by Vedha Sayyaparaju.
M. Eng.
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Tobon, Carolina. "Evaluating geovisualisation and user interaction : an experimental design approach based upon user tasks." Thesis, University College London (University of London), 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405460.

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Casallas, suarez Juan Sebastian. "Prediction of user action in moving-target selection tasks." Thesis, Paris, ENSAM, 2015. http://www.theses.fr/2015ENAM0018/document.

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La sélection de cibles en mouvement est une tâche courante et complexe dans l'interaction homme-machine (IHM) en général et en particulier dans le domaine de la réalité virtuelle (RV). La prédiction de l'action est une solution intégrale pour aborder les problèmes liés à l'interaction. Cependant, les techniques actuelles de prédiction sont basées sur le suivi continu des actions de l'utilisateur sans prendre en compte la possibilité que les actions d'atteinte d'une cible puissent avoir une composante importante préprogrammée—cette théorie est appelé la théorie du contrôle préprogrammé.En se basant sur la théorie du contrôle préprogrammé, cette thèse explore la possibilité de prédire les actions, avant leur exécution, de sélection d'objets en mouvement. Plus spécifiquement, trois niveaux de prédiction d'action sont étudiés : 1) la performance des actions, mesurée par le temps de mouvement (TM) nécessaire pour atteindre une cible, 2) la difficulté prospective (DP), qui représente la difficulté subjective de la tâche estimée avant son exécution, 3) l'intention de l'utilisateur, qui indique la cible visée par l'utilisateur.Dans le cadre de cette thèse, des modèles de prédiction d'intention sont développés à l'aide des arbres de décision ainsi que des fonctions de classement—ces modèles sont évalués dans deux expériences en RV. Des modèles 1-D et 2-D de DP pour des cibles en mouvement basés sur la loi de Fitts sont développés et évalués dans une expérience en ligne. Enfin, des modèles de TM avec les mêmes caractéristiques structurelles des modèles de DP sont évaluées dans une expérience 3-D en RV
Selection of moving targets is a common, yet complex task in human–computer interaction (HCI), and more specifically in virtual reality (VR). Action prediction has proven to be the most comprehensive enhancement to address moving-target selection challenges. Current predictive techniques, however, heavily rely on continuous tracking of user actions, without considering the possibility that target-reaching actions may have a dominant pre-programmed component—this theory is known as the pre-programmed control theory.Thus, based on the pre-programmed control theory, this research explores the possibility of predicting moving-target selection prior to action execution. Specifically, three levels of action prediction are investigated: 1) action performance measured as the movement time (MT) required to reach a target, 2) prospective difficulty (PD), i.e., subjective assessments made prior to action execution; and 3) intention, i.e., the target that the user plans to reach.In this dissertation, intention prediction models are developed using decision trees and scoring functions—these models are evaluated in two VR studies. PD models for 1-D, and 2-D moving- target selection tasks are developed based on Fitts' Law, and evaluated in an online experiment. Finally, MT models with the same structural form of the aforementioned PD models are evaluated in a 3-D moving-target selection experiment deployed in VR
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Estes, T. Scott. "From the use of performance tasks to the user of performance tasks| Authentic learning and assessment experiences in middle schools." Thesis, Aurora University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10131732.

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The purpose of this qualitative, multi-case study is to identify the traits three middle school classroom teachers share, which seemingly enable them to successfully engage their students in performance-based activities and assessments. This study investigates the research behind the use of performance tasks, authentic learning and assessment and connects the data gleaned from observations and interviews with participants and administrators to the literature review. Data analysis and summations connect performance tasks to authentic learning but also identify more subjective traits such as relationship building, riskiness in instructional methodology, and the innate skills of a teacher, which appear to enhance students’ learning experiences. Students observed in the classrooms are asked not only to know content and cultivate an appropriate skill base, but also asked to use that knowledge and those skills to solve real-world problems. Data from the three participants not only illustrates the findings of other relevant research, but characterizes the types of teachers who inspire students to perform on a more complex level in order to solve complex problems.

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Gwizdka, Jacek, and Mark Chignell. "Individual Differences and Task-based User Interface Evaluation: A Case Study of Pending Tasks in Email." Elsevier, 2004. http://hdl.handle.net/10150/105556.

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doi:10.1016/j.intcom.2004.04.008
This paper addresses issues raised by the ever-expanding role of email as a multi-faceted application that combines communication, collaboration, and task management. Individual differences analysis was used to contrast two email user interfaces in terms of their demands on users. The results of this analysis were then interpreted in terms of their implications for designing more inclusive interfaces that meet the needs of users with widely ranging abilities. The specific target of this research is the development of a new type of email message representation that makes pending tasks more visible. We describe a study that compared a new way of representing tasks in an email inbox, with a more standard representation (the Microsoft Outlook inbox). The study consisted of an experiment that examined how people with different levels of three specific cognitive capabilities (flexibility of closure, visual memory, and working memory) perform when using these representations. We then identified combinations of representation and task that are disadvantageous for people with low levels of the measured capabilities.
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Ingmarsson, Magnus. "Modelling User Tasks and Intentions for Service Discovery in Ubiquitous Computing." Licentiate thesis, Linköping University, Linköping University, MDA - Human Computer Interfaces, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8319.

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Ubiquitous computing (Ubicomp) increases in proliferation. Multiple and ever growing in numbers, computational devices are now at the users' disposal throughout the physical environment, while simultaneously being effectively invisible. Consequently, a significant challenge is service discovery. Services may for instance be physical, such as printing a document, or virtual, such as communicating information. The existing solutions, such as Bluetooth and UPnP, address part of the issue, specifically low-level physical interconnectivity. Still absent are solutions for high-level challenges, such as connecting users with appropriate services. In order to provide appropriate service offerings, service discovery in Ubicomp must take the users' context, tasks, goals, intentions, and available resources into consideration. It is possible to divide the high-level service-discovery issue into two parts; inadequate service models, and insufficient common-sense models of human activities.

This thesis contributes to service discovery in Ubicomp, by arguing that in order to meet these high-level challenges, a new layer is required. Furthermore, the thesis presents a prototype implementation of this new service-discovery architecture and model. The architecture consists of hardware, ontology-layer, and common-sense-layer. This work addresses the ontology and common-sense layers. Subsequently, implementation is divided into two parts; Oden and Magubi. Oden addresses the issue of inadequate service models through a combination of service-ontologies in concert with logical reasoning engines, and Magubi addresses the issue of insufficient common-sense models of human activities, by using common sense models in combination with rule engines. The synthesis of these two stages enables the system to reason about services, devices, and user expectations, as well as to make suitable connections to satisfy the users' overall goal.

Designing common-sense models and service ontologies for a Ubicomp environment is a non-trivial task. Despite this, we believe that if correctly done, it might be possible to reuse at least part of the knowledge in different situations. With the ability to reason about services and human activities it is possible to decide if, how, and where to present the services to the users. The solution is intended to off-load users in diverse Ubicomp environments as well as provide a more relevant service discovery.


Report code: LiU-Tek-Lic-2007:14.
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Huynh, David François 1978. "A user interface framework for supporting information management tasks in Haystack." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87355.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (p. 153-155).
by David François Huynh.
S.M.
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Cox, Kevin Ross, and n/a. "Searching by browsing." University of Canberra. Information Sciences & Engineering, 1994. http://erl.canberra.edu.au./public/adt-AUC20060630.102136.

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Information retrieval (IR) is an important part of many tasks performed by people when they use computers. However, most IR research and theory isolates the IR component from the tasks performed by users. This is done by expressing user needs as a query performed on a database. In contrast this dissertation investigates the design and evaluation of information retrieval systems where the information retrieval mechanisms remain embedded in the user tasks. While there are a many different types of user tasks performed with computers we can specify common requirements for the IR needed in most tasks. There are both user interface and machine processing requirements. For user interfaces it is desirable if users interact directly with information databases, keep control of the interaction and are able to perform IR in a timely manner. Machine processing has to be within the capabilities of machines yet must fit with human perceptions and has to be efficient in both storage and computation. Given the overall requirements, the dissertation gives a particular implementation for how to embed IR in tasks. The implementation uses a vector representation for objects and organises the objects in a near neighbour data structure. Near neighbours are defined within the context of the tasks the users wish to achieve. While the implementation could use many different finding mechanisms, it emphasises a constructive solution building approach with localised browsing in the database. It is shown how the IR implementation fits with the overall task activities of the user. Much of the dissertation examines how to evaluate embedded IR. Embedded IR requires testing users' task performance in both real experiments and thought experiments. Implementation is tested by finding known objects, by validating the machine representations and their correspondence with human perceptions and by testing the machine performance of the implementation. Finally implications and extensions of the work arc explored by looking at the practicality of the approach, other methods of investigation and the possibility of building dynamic learning systems that improve with use.
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Books on the topic "User tasks"

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Information tasks: Toward a user-centered approach to information systems. San Diego: Academic Press, 1996.

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Scär, Sissel Guttormsen. Implicit and explicit learning of computerised tasks: The role of the user-interface and task saliency. Zürich: ADAG Copy, 1998.

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Zacharias, Franziska. Knowledge Representations for Planning Manipulation Tasks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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J, Gold E., Perry Lee, and Bray Faustin, eds. Tanks for the memories: Floatation tank talks. [Nevada City, CA]: Gateways/IDHHB, 1995.

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Janice, Redish, ed. User and task analysis for interface design. New York: Wiley, 1998.

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Logunova, Oksana, Petr Romanov, and Elena Il'ina. Processing of experimental data on a computer. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1064882.

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The textbook provides information about the main methods and tools for automating computational processes used in data processing; methods for representing and generating models of experimental data; data models and classification of processing tasks; and the organization of the user interface in automated systems for processing experimental data. Contains structured chapters on the specifics of experimental research. The features of using software for processing experimental data are clearly and logically described. Theoretical material and basic algorithms for processing experimental data used in industrial statistics are presented. Examples of processing experimental data in the field of metallurgy and management in higher education are given. Meets the requirements of the Federal state educational standards of higher education of the latest generation. For students and postgraduates of higher educational institutions.
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Hormann, Hans-Jurgen. TOM - Test of multiple task performance. User manual. Koln, Germany: DLR, 1989.

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England, David, Philippe Palanque, Jean Vanderdonckt, and Peter J. Wild, eds. Task Models and Diagrams for User Interface Design. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11797-8.

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Winckler, Marco, Hilary Johnson, and Philippe Palanque, eds. Task Models and Diagrams for User Interface Design. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77222-4.

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Korneev, Viktor, Larisa Gagarina, and Mariya Korneeva. Visualization in scientific research. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1029660.

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The textbook describes the methods of graphical representation of the results of the calculation of physical and engineering problems, represented by specialized programs and operating system tools. The graphic capabilities of the MATLAB package, which, along with powerful calculation tools, has excellent computer graphics, are studied in detail. A number of visualization tasks are solved by computer graphics programming methods in C++. The GDI GUI functions are used from the set of system API functions that the Windows operating system provides to the user. All examples in C++ are tested in the Visual Studio 2008 project development environment. The issues of interaction between the MATLAB package and programs written in C++ in the Visual Studio environment are considered. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students studying in the field of training "Software Engineering".
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Book chapters on the topic "User tasks"

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Kraft, Christian. "Identifying Core Tasks." In User Experience Innovation, 43–56. Berkeley, CA: Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4150-8_5.

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Kraft, Christian. "Innovating Around Core Tasks." In User Experience Innovation, 57–64. Berkeley, CA: Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4150-8_6.

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Treu, Siegfried. "Computer Applications and Tasks." In User Interface Design, 61–83. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2429-8_4.

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Sutcliffe, Alistair. "RE Tasks and Processes." In User-Centred Requirements Engineering, 45–77. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0217-5_3.

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Johnson, Peter, Stephanie Wilson, and Hilary Johnson. "Designing User Interfaces from Analyses of Users’ Tasks." In Human-Computer Interaction INTERACT ’97, 655–56. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35175-9_118.

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Navalpakkam, Vidhya, Ravi Kumar, Lihong Li, and D. Sivakumar. "Attention and Selection in Online Choice Tasks." In User Modeling, Adaptation, and Personalization, 200–211. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31454-4_17.

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Díaz Esteban, Alberto. "Integrating Multilingual Text Classification Tasks and User Modeling in Personalized Newspaper Services." In User Modeling 2001, 268–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44566-8_41.

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Kunert, Tibor. "User Tasks and Requirements for iTV Applications." In User-Centered Interaction Design Patterns for Interactive Digital Television Applications, 85–98. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-275-7_4.

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Foerster, Cora. "Controlling Distributed User Tasks in Heterogeneous Networks." In Hector Heterogeneous Computers Together A Joint Project of IBM and the University of Karlsruhe, 183–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73574-5_11.

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Torre, Ilaria. "Goals, Tasks and Application Domains as the Guidelines for Defining a Framework for User Modelling." In User Modeling 2001, 260–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44566-8_39.

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Conference papers on the topic "User tasks"

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Rind, Alexander, Wolfgang Aigner, Markus Wagner, Silvia Miksch, and Tim Lammarsch. "User tasks for evaluation." In the Fifth Workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2669557.2669568.

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Johnson, Peter, Stephanie Wilson, and Hilary Johnson. "Designing user interfaces from analyses of users' tasks." In CHI '97 extended abstracts. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/1120212.1120322.

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Sow, D., M. Ebling, R. P. Lehmann, J. Davis, and L. Bergman. "SCOUT contextually organizes user tasks." In IEEE International Conference on e-Business Engineering (ICEBE'05). IEEE, 2005. http://dx.doi.org/10.1109/icebe.2005.109.

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Palacios, Alfons, Roberto García, Marta Oliva, and Toni Granollers. "Semantic Web End-User Tasks." In the XV International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2662253.2662299.

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Kim, Heejin, Seungjae Oh, Sung H. Han, and Min K. Chung. "Natural pointing posture in distal pointing tasks." In SUI '14: Symposium on Spatial User Interaction. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2659766.2661213.

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Dev, Himel, and Zhicheng Liu. "Identifying Frequent User Tasks from Application Logs." In IUI'17: 22nd International Conference on Intelligent User Interfaces. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3025171.3025184.

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Li, Xin, Lei Zhang, Ping Luo, Enhong Chen, Guandong Xu, Yu Zong, and Chu Guan. "Mining user tasks from print logs." In 2014 International Joint Conference on Neural Networks (IJCNN). IEEE, 2014. http://dx.doi.org/10.1109/ijcnn.2014.6889721.

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Balbo, Sandrine, Dirk Draheim, Christof Lutteroth, and Gerald Weber. "Appropriateness of user interfaces to tasks." In the 4th international workshop. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1122935.1122957.

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Smith, Missie, Jillian Streeter, Gary Burnett, and Joseph L. Gabbard. "Visual search tasks." In AutomotiveUI '15: The 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2799250.2799291.

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Bjerre, Per, Allan Christensen, Simon André Pedersen, Andreas Køllund Pedersen, and Wolfgang Stuerzlinger. "Transition Times for Manipulation Tasks in Hybrid Interfaces." In SUI '15: Symposium on Spatial User Interaction. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2788940.2794358.

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Reports on the topic "User tasks"

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Redden, Elizabeth S., Daniel D. Turner, and Christian B. Carstens. The Effect of Future Forces Warrior Planned Sensor Offset on Performance of Infantry Tasks: Limited User Evaluation. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada448487.

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Camenzind, Lauren, Molly Kafader, Rachel Schwam, Mikayla Taylor, Zoie Wilkes, and Madison Williams. Space Retrieval Training for Memory Enhancement in Adults with Dementia. University of Tennessee Health Science Center, May 2021. http://dx.doi.org/10.21007/chp.mot2.2021.0013.

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The final portfolio contains 8 research articles from national and international journals. Study designs include one systematic review, one randomized control trial with pretest-posttest design, three small-scale randomized control trials, one quasi-experimental study with no control, one time-series study, and one case study. All studies relate directly to components of the evidence-based practice question and will be used to draft new recommendations for implementation regarding spaced retrieval training for memory enhancement in adults with dementia. Seven out of the eight articles looked at the effects of SR techniques on functional tasks. Articles looked at eating difficulty (1), independent use of walkers (1), iADL function (3), use of technology (1), and ADL function (1). One out of eight articles looked at benefits of spaced retrieval techniques on episodic memory, which is not necessarily a functional task, but is needed to perform functional tasks.
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Naves, Claudia, David Amorim, David Geisler-Moroder, Thorbjörn Laike, Justyna Martyniuk-Peczek, Barbara Szybinska Matusiak, Wilfried Pohl, and Natalia Sokol. Literature review of user needs, toward user requirements. Edited by Barbara Szybinska Matusiak. IEA SHC Task 61, September 2020. http://dx.doi.org/10.18777/ieashc-task61-2020-0001.

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This report has been developed in the frame of the IEA SHC Task 61 Subtask A “User requirements”. The main objective was to rethink and reformulate user requirements to lighting (daylighting and electric lighting) in public buildings on the basis of a thorough literature study. The work is a joint effort of a number of scientists and represents collective knowledge in this topic. The concept of Lighting quality is the one, among many lighting concepts, which expresses the user perspective best. Lighting quality is the important goal of lighting designers and planners; however, it is difficult to define and to measure.
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Ashton, Zoe Charon Maria, Joanne Roth Wendelberger, Lawrence O. Ticknor, Terece Turton, and Francesca Samsel. Analyzing Task-Based User Study Data to Determine Colormap Efficiency. Office of Scientific and Technical Information (OSTI), July 2015. http://dx.doi.org/10.2172/1210205.

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Ashton, Zoe Charon Maria, Joanne Roth Wendelberger, Lawrence O. Ticknor, Terece Turton, and Francesca Samsel. Analyzing task-based user study data to determine colormap efficiency. Office of Scientific and Technical Information (OSTI), July 2015. http://dx.doi.org/10.2172/1210206.

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Petersen, Rodney, Danielle Santos, Matthew C. Smith, Karen A. Wetzel, and Greg Witte. Workforce Framework for Cybersecurity (NICE Framework). National Institute of Standards and Technology, November 2020. http://dx.doi.org/10.6028/nist.sp.800-181r1.

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This publication from the National Initiative for Cybersecurity Education (NICE) describes the Workforce Framework for Cybersecurity (NICE Framework), a fundamental reference for describing and sharing information about cybersecurity work. It expresses that work as Task statements and describes Knowledge and Skill statements that provide a foundation for learners including students, job seekers, and employees. The use of these statements helps students to develop skills, job seekers to demonstrate competencies, and employees to accomplish tasks. As a common, consistent lexicon that categorizes and describes cybersecurity work, the NICE Framework improves communication about how to identify, recruit, develop, and retain cybersecurity talent. The NICE Framework is a reference source from which organizations or sectors can develop additional publications or tools that meet their needs to define or provide guidance on different aspects of cybersecurity education, training, and workforce development.
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Nashman, Marilyn. The use of vision and touch sensors for dimensional inspection tasks. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4839.

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McGee, Steven, Everett Smith, Andrew Rasmussen, and Jeremy Gubman. Using Rasch analysis for determining the cut score of a computer science placement exam. The Learning Partnership, April 2021. http://dx.doi.org/10.51420/conf.2021.4.

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A key strategy for broadening computer science participation in the Chicago Public Schools has been the enactment of a yearlong computer science course as a high school graduation requirement. The Exploring Computer Science (ECS) curriculum and professional development program serves as a core foundation for supporting policy enactment. However, students with prior background in computer science might find the course repetitive. This paper reports on district efforts to develop a placement exam for students to take an advanced computer science course in lieu of the introductory computer science course. The placement exam tasks were modeled after the ECS exam tasks but with higher difficulty. We used Rasch modeling to equate the placement exam tasks to the ECS exams and to establish a cut score for passing the placement exam.
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Curtis, Christopher K., Christian E. Randall, Brian Tidball, Scott Bachmann, Darryl Stimson, David E. Kancler, Megan E. Gorman, and Mary McWesler. Application of Cognitive Task Analysis in User Requirements and Prototype Design Presentation/Briefing. Fort Belvoir, VA: Defense Technical Information Center, October 2005. http://dx.doi.org/10.21236/ada441401.

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Fernandes, Kathleen. A Scenario-Based Methodology for Evaluating User Interface Functionality on a Database Retrieval Task. Fort Belvoir, VA: Defense Technical Information Center, May 1991. http://dx.doi.org/10.21236/ada236967.

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