Journal articles: 'Task completion'

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Yin, Carol. "A task-oriented taxonomy of visual completion." Behavioral and Brain Sciences 21, no. 6 (December 1998): 780–81. http://dx.doi.org/10.1017/s0140525x98581757.

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Differences and similarities between modal and amodal completions can only be understood by considering the goals of visual completion: unity, shape, and perceptual quality. Pessoa et al. cannot reject representational accounts of vision because of flaws with isomorphic representations of perceptual quality: representations and processes for perceptual quality (modal completion) and most likely dissociable from those for unity and shape (nonmodal completions).

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Dall’Asta, L., M. Marsili, and P. Pin. "Optimization in task-completion networks." Journal of Statistical Mechanics: Theory and Experiment 2008, no. 02 (February 6, 2008): P02003. http://dx.doi.org/10.1088/1742-5468/2008/02/p02003.

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Vangsness, Lisa, and Michael E. Young. "Turtle, Task Ninja, or Time Waster? Who Cares? Traditional Task-Completion Strategies Are Overrated." Psychological Science 31, no. 3 (February 26, 2020): 306–15. http://dx.doi.org/10.1177/0956797619901267.

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Standard approaches for identifying task-completion strategies, such as precrastination and procrastination, reduce behavior to single markers that oversimplify the process of task completion. To illustrate this point, we consider three task-completion strategies and introduce a new method to identify their use. This approach was tested using an archival data set (N = 8,655) of the available electronic records of research participation at Kansas State University. The approach outperformed standard diagnostic approaches and yielded an interesting finding: Several strategies were associated with negative outcomes. Specifically, both procrastinators and precrastinators struggled to finish tasks on time. Together, these findings underscore the importance of using holistic approaches to determine the relationship among task characteristics, individual differences, and task completion.

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Umarji, Osman, Peter McPartlan, Julia Moeller, Qiujie Li, Justin Shaffer, and Jacquelynne Eccles. "The motivational system of task values and anticipated emotions in daily academic behavior." Motivation and Emotion 45, no. 5 (July 3, 2021): 599–616. http://dx.doi.org/10.1007/s11031-021-09898-y.

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AbstractThis study integrates theories of achievement motivation and emotion to investigate daily academic behavior in an undergraduate online course. Using cluster analysis and hierarchical logistic regression, we analyze profiles of task values and anticipated emotions to understand expectations and completion of academic tasks over the duration of a week. Students’ task specific interest, opportunity cost, and anticipated satisfaction and regret varied across tasks and were predictive of both their expectations of task completion and actual task completion reported the following day. The results shed light on the important role of achievement motivation as situated and dynamic, highlighting the interplay between task priorities, task values, and anticipated emotions in academic task engagement.

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McCarthy, Claudine. "Beware valuing task completion over relationships." Student Affairs Today 23, no. 10 (December 22, 2020): 12. http://dx.doi.org/10.1002/say.30843.

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Hopp, Wallace J., Seyed M. R. Iravani, and Gigi Y. Yuen. "Operations Systems with Discretionary Task Completion." Management Science 53, no. 1 (January 2007): 61–77. http://dx.doi.org/10.1287/mnsc.1060.0598.

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Istiqomah, Adinda. "Efektifitas individual work system untuk meningkatkan kemandirian penyelesaian tugas anak dengan autisme." Persona:Jurnal Psikologi Indonesia 8, no. 2 (December 30, 2019): 278–93. http://dx.doi.org/10.30996/persona.v8i2.2727.

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Abstract Individual work systems develop independence by organizing tasks and activities that can be carried out by individuals with ASD (Autism Spectrum Disorder). This research develops a work system that can help organize the task using the visual-spatial strengths of children with ASD.The aim of this study is to investigate the effectiveness of Individual Work System for students with ASD making easier to understand the given instructions and respond appropriately. The research is being conducted by applying individual work system for students with ASD to improve completing the task. This research uses quasi experimental using reversal design A-B design in five subjects diagnosed with mild autism, aged elementary school, had problems in completing the tasks and have ability to simple instruction. The data collection tool uses observations that assess off-task/on-task behavior, teacher prompting, task completion. Data obtained were analyzed using the non-parametric Wilcoxon statistical test. The result showed that the intervention using that idividual work system was effective increase independence of task completion for student with autism. Keywords: Autism spectrum disorder (ASD); Independence of task completion; Individual work system AbstrakIndividual work systems atau sistem kerja individu mengembangkan kemandirian dengan cara mengorganisasikan tugas dan aktivitas yang dapat dipahami oleh individu dengan ASD (Autism Spectrum Disorder). Penelitian ini bertujuan untuk menguji efektivitas Individual Work System siswa dengan (ASD). Penelitian ini menciptakan struktur kerja yang dapat membantu mengorganisir penugasan yang dilakukan dengan memanfaatkan kekuatan visual-spasial anak ASD. Kurangnya kemandirian pada anak ASD terlihat pada seringkali guru membantu atau mengarahkan anak ASD dalam menyelesaikan tugas. Penelitian ini bertujuan untuk menguji efektifitas Individual Work System anak dengan ASD sehingga lebih mudah memahami intruksi yang diberikan dan berespon dengan tepat. Penelitian ini menggunakan desain reversal dengan jenis A-B design pada lima orang subjek yang telah didiagnosis autisme sedang, berusia sekolah dasar, mempunyai permasalahan dalam penyelesaian tugas dan telah mampu mengikuti perintah sederhana. Alat pengumpulan data menggunakan observasi yang disusun oleh peneliti yang terdiri dari respon off-task/on-task, teacher prompting, dan task completion. Data penelitian dianalisis dengan menggunakan uji statistik non-parametric Wilcoxon. Hasil analisis data statistik menunjukkan bahwa individual work system efektif meningkatkan kemandirian penyelesaian tugas anak ASD. Kata kunci: Autism spectrum disorder (ASD); Individual work system; Kemandirian penyelesaian tugas.

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Thompson, Fintan, Lucette A. Cysique, Linton R. Harriss, Sean Taylor, Greg Savage, Paul Maruff, and Robyn Mcdermott. "Acceptability and Usability of Computerized Cognitive Assessment Among Australian Indigenous Residents of the Torres Strait Islands." Archives of Clinical Neuropsychology 35, no. 8 (July 9, 2020): 1288–302. http://dx.doi.org/10.1093/arclin/acaa037.

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Abstract Objectives This cross-sectional study aimed to investigate the acceptability and usability of the Cogstate Brief Battery (CBB) in a community-based sample of Australian Indigenous people from the Torres Strait region, based on a user experience framework of human–computer interaction. Methods Two-hundred community participants completed the four subtests of the CBB on an iPad platform, during a free adult health check on two islands in the region, between October and December 2016. Acceptability was defined as completing the learning trial of a task and usability as continuing a task through to completion, determined by examiner acumen and internal Cogstate completion and integrity criteria. These were combined into a single dichotomous completion measure for logistic regression analyses. Performance—measured as reaction times and accuracy of responses—was analyzed using linear regression analyses. Results CBB completion ranged from 82.0% to 91.5% across the four tasks and the odds of completing decreased with age. After adjusting for age, iPad/tablet familiarity increased the odds of completion for all tasks while level of education and employment increased the odds for some tasks only. These variables accounted for 18.0%–23.8% of the variance in reaction times on speeded tasks. Age and education had the most effect, although semipartial correlations were modest. Conclusions When administered in a health-screening context, the acceptability and usability of the CBB were greatest in young- to middle-aged participants with some education and iPad/tablet experience. Older and more vulnerable participants may have benefited from additional time and practice on the CBB prior to administration.

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Zou, Nan, Zhiyu Xiang, Yiman Chen, Shuya Chen, and Chengyu Qiao. "Simultaneous Semantic Segmentation and Depth Completion with Constraint of Boundary." Sensors 20, no. 3 (January 23, 2020): 635. http://dx.doi.org/10.3390/s20030635.

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As the core task of scene understanding, semantic segmentation and depth completion play a vital role in lots of applications such as robot navigation, AR/VR and autonomous driving. They are responsible for parsing scenes from the angle of semantics and geometry, respectively. While great progress has been made in both tasks through deep learning technologies, few works have been done on building a joint model by deeply exploring the inner relationship of the above tasks. In this paper, semantic segmentation and depth completion are jointly considered under a multi-task learning framework. By sharing a common encoder part and introducing boundary features as inner constraints in the decoder part, the two tasks can properly share the required information from each other. An extra boundary detection sub-task is responsible for providing the boundary features and constructing cross-task joint loss functions for network training. The entire network is implemented end-to-end and evaluated with both RGB and sparse depth input. Experiments conducted on synthesized and real scene datasets show that our proposed multi-task CNN model can effectively improve the performance of every single task.

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Dewi, Yeni Satroma, Herman Nirwana, and Neviyarni S. "Token Economy (Hadiah) untuk Penyelesaian Tugas dalam Layanan Penguasaan Konten." Jurnal Konseling dan Pendidikan 3, no. 2 (June 30, 2015): 15. http://dx.doi.org/10.29210/112500.

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To learn so far a bout token economy in the completion students task at V grade in SD N 16 Sungayang. This research includes qualitative research with this type of case studies. The invent of this research show that applying token economy has a great influence to ward students behave in the completion mathematic task in the class. The implication application of token economy can support the implementation of service delivery mastery of content in completing learning tasks and giving other Guidance. A counselor can collaborate with some of the teachers to improve students behavior and students quality. It is hoped to the next beseecher to apply token economy in the different field to get more view.

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Dobrovolskaya, V. V. "GRAMMATICAL TASK: METHODOLOGY OF COMPILATION AND COMPLETION." Professor’s Journal. Series: Russian and Literature: studying and teaching 1 (March 11, 2020): 43–46. http://dx.doi.org/10.18572/2687-0339-2020-1-43-46.

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Lanigan, M. J. "Task estimating: completion time versus team size." Engineering Management Journal 4, no. 5 (1994): 212. http://dx.doi.org/10.1049/em:19940508.

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Fante, Rhiannon, Ora L. Davis, and Vivian Kempt. "Improving Closing Task Completion in a Drugstore." Journal of Organizational Behavior Management 33, no. 1 (March 2013): 77–83. http://dx.doi.org/10.1080/01608061.2012.758020.

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Nazari, Goris, Joy C. MacDermid, Kathryn E. Sinden, and Tom J. Overend. "The Relationship between Physical Fitness and Simulated Firefighting Task Performance." Rehabilitation Research and Practice 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/3234176.

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The overall aim of this study was to measure the physiological responses of firefighters from a single fire service during simulated functional firefighting tasks and to establish the relationship between physical fitness parameters and task performance. 46 males and 3 females firefighters were recruited. Firefighters’ aerobic capacity levels were estimated using the Modified Canadian Aerobic Fitness Test (mCAFT). Grip strength levels, as a measure of upper body strength levels, were assessed using a calibrated J-Tech dynamometer. The National Institute for Occupational Safety and Health (NIOSH) protocol for the static floor lifting test was used to quantify lower body strength levels. Firefighters then performed two simulated tasks: a hose drag task and a stair climb with a high-rise pack tasks. Pearson’s correlation coefficients (r) were calculated between firefighters’ physical fitness parameters and task completion times. Two separate multivariable enter regression analyses were carried out to determine the predictive abilities of age, sex, muscle strength, and resting heart rate on task completion times. Our results displayed that near maximal heart rates of ≥88% of heart rate maximum were recorded during the two tasks. Correlation (r) ranged from −0.30 to 0.20. For the hose drag task, cardiorespiratory fitness and right grip strength (kg) demonstrated the highest correlations of −0.30 and −0.25, respectively. In predicting hose drag completion times, age and right grip strength scores were shown to be the statistically significant (p<0.05) independent variables in our regression model. In predicting stair climb completion times, age and NIOSH scores were shown to be the statistically significant (p<0.05) independent variables in our regression model. In conclusion, the hose drag and stair climb tasks were identified as physiological demanding tasks. Age, sex, resting heart rate, and upper body/lower body strength levels had similar predictive values on hose drag and stair climb completion times.

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Heidhues, Paul, and Philipp Strack. "Identifying Present Bias from the Timing of Choices." American Economic Review 111, no. 8 (August 1, 2021): 2594–622. http://dx.doi.org/10.1257/aer.20191258.

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A (partially naïve) quasi-hyperbolic discounter repeatedly chooses whether to complete a task. Her net benefits of task completion are drawn independently between periods from a time-invariant distribution. We show that the probability of completing the task conditional on not having done so earlier increases towards the deadline. Conversely, we establish nonidentifiability by proving that for any time-preference parameters and any dataset with such (weakly increasing) task-completion probabilities, there exists a stationary payoff distribution that rationalizes the agent’s behavior if she is either sophisticated or fully naïve. Additionally, we provide sharp partial identification for the case of observable continuation values. (JEL C14, D11, D15, D90, D91)

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Kormos, Judit, and Yvonne Préfontaine. "Affective factors influencing fluent performance: French learners’ appraisals of second language speech tasks." Language Teaching Research 21, no. 6 (December 26, 2016): 699–716. http://dx.doi.org/10.1177/1362168816683562.

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The present mixed-methods study examined the role of learner appraisals of speech tasks in second language (L2) French fluency. Forty adult learners in a Canadian immersion program participated in the study that compared four sources of data: (1) objectively measured utterance fluency in participants’ performances of three narrative tasks differing in their conceptualization and formulation demands, (2) a questionnaire on their interest, task-related anxiety, task motivation, and perceived success in task-completion, (3) an interview in which they elaborated on their perceptions of the tasks, and (4) subjective ratings of their performances by three native speakers. Findings showed the cognitive demands of tasks were associated with learners’ affective responses to tasks as well as objective and subjective measures of fluency. Furthermore, task-related anxiety and perceived success in task completion were the most important affective factors associated with fluent task performance, whereas interest and task motivation were correlated with native speakers’ fluency ratings. These results are discussed in terms of how task design and implementation can contribute to enhanced task motivation and performance in the classroom.

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Vieweg, Paula, Martin Riemer, David Berron, and Thomas Wolbers. "Memory Image Completion: Establishing a task to behaviorally assess pattern completion in humans." Hippocampus 29, no. 4 (November 23, 2018): 340–51. http://dx.doi.org/10.1002/hipo.23030.

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Li, Zhi, and Qi Zhu. "Genetic Algorithm-Based Optimization of Offloading and Resource Allocation in Mobile-Edge Computing." Information 11, no. 2 (February 3, 2020): 83. http://dx.doi.org/10.3390/info11020083.

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Mobile edge computing (MEC) can use a wireless access network to serve smart devices nearby so as to improve the service experience of users. In this paper, a joint optimization method based on the Genetic Algorithm (GA) for task offloading proportion, channel bandwidth, and mobile edge servers’ (MES) computing resources is proposed in the scenario where some computing tasks can be partly offloaded to the MES. Under the limitation of wireless transmission resources and MESs’ processing resources, GA was used to solve the optimization problem of minimizing user task completion time, and the optimal offloading task strategy and resource allocation scheme were obtained. The simulation results show that the proposed algorithm can effectively reduce the task completion time and ensure the fairness of users’ completion times.

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Zhou, Jie, and Neal Wiggermann. "Effects of Brake Pedal Horizontal Location of Hospital Beds on Force Exertions and Work Efficiency." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1005–9. http://dx.doi.org/10.1177/1541931213601734.

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The brake pedal on hospital beds is critical during bed maneuvering, however, substantial force and awkward postures are usually required during pedal engagement tasks. Nine professional caregivers were recruited to investigate how brake pedal horizontal location affected maximal voluntary contraction (MVC) force, acceptable force to engage the pedal (AFE), force efficiency and task completion time. The results demonstrated reduced MVC, AFE and force efficiency whereas increased task completion time with greater pedal depths. Pedal depth was significantly correlated with MVC, force efficiency and task completion time and these correlations are moderate (0.25≤r<0.50) or good (0.50≤r<075). These findings provide important information for hospital bed design.

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Sowan, Azizeh K., Nancy Staggers, Andrea Berndt, Tommye Austin, Charles C. Reed, Ashwin Malshe, Max Kilger, Elma Fonseca, Ana Vera, and Qian Chen. "Improving the Safety, Effectiveness, and Efficiency of Clinical Alarm Systems: Simulation-Based Usability Testing of Physiologic Monitors." JMIR Nursing 4, no. 1 (February 3, 2021): e20584. http://dx.doi.org/10.2196/20584.

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Background Clinical alarm system safety is a national patient safety goal in the United States. Physiologic monitors are associated with the highest number of device alarms and alarm-related deaths. However, research involving nurses’ use of physiologic monitors is rare. Hence, the identification of critical usability issues for monitors, especially those related to patient safety, is a nursing imperative. Objective This study examined nurses’ usability of physiologic monitors in intensive care units with respect to the effectiveness and efficiency of monitor use. Methods In total, 30 nurses from 4 adult intensive care units completed 40 tasks in a simulation environment. The tasks were common monitoring tasks that were crucial for appropriate monitoring and safe alarm management across four categories of competencies: admitting, transferring, and discharging patients using the monitors (7 tasks); managing measurements and monitor settings (23 tasks); performing electrocardiogram (ECG) analysis (7 tasks); and troubleshooting alarm conditions (3 tasks). The nurse-monitor interaction was video-recorded. The principal investigator and two expert intensive care units nurse educators identified, classified, and validated task success (effectiveness) and the time of task completion (efficiency). Results Among the 40 tasks, only 2 (5%) were successfully completed by all the nurses. At least 1-27 (3%-90%) nurses abandoned or did not correctly perform 38 tasks. The task with the shortest completion time was “take monitor out of standby” (mean 0:02, SD 0:01 min:s), whereas the task “record a 25 mm/s ECG strip of any of the ECG leads” had the longest completion time (mean 1:14, SD 0:32 min:s). The total time to complete 37 navigation-related tasks ranged from a minimum of 3 min 57 s to a maximum of 32 min 42 s. Regression analysis showed that it took 6 s per click or step to successfully complete a task. To understand the nurses’ thought processes during monitor navigation, the authors analyzed the paths of the 2 tasks with the lowest successful completion rates, where only 13% (4/30) of the nurses correctly completed these 2 tasks. Although 30% (9/30) of the nurses accessed the correct screen first for task 1 and task 2, they could not find their way easily from there to successfully complete the 2 tasks. Conclusions Usability testing of physiologic monitors revealed major ineffectiveness and inefficiencies in the current nurse-monitor interactions. The results indicate the potential for safety and productivity issues in completing routine tasks. Training on monitor use should include critical monitoring functions that are necessary for safe, effective, efficient, and appropriate monitoring to include knowledge of the shortest navigation path. It is imperative that vendors’ future monitor designs mimic clinicians’ thought processes for successful, safe, and efficient monitor navigation.

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Dyck, Jennifer L., Amanda K. Emo, Marie P. Panepinto, and Thaddeus Wojcik. "The Effect of Automated Telephone Menu Structure on User Frustration and Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 5 (October 2007): 449–54. http://dx.doi.org/10.1177/154193120705100505.

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Two experiments examined the effect of a wide, deep, or balanced telephone menu on task accuracy, task completion time, and user attitude. The wide menu had 8 choices at 2 levels, the deep menu had 2 choices at 6 levels, and the balanced menu had 4 choices at 3 levels. Experiment 1 results indicated no effect of menu structure on task accuracy. Experiment 2 results indicated longer task completion time for the deep menu as compared to the wide and balanced menus. Variability among task completion time for the wide menu, however, indicated an advantage for the balanced menu. User attitude did not vary with the menu structure, but was related to the number of calls needed to complete the tasks, such that the more calls that were needed, the more negatively the telephone menu was viewed.

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Michaud, Gabriel. "L’incidence d’un enseignement centré sur la forme sur la performance orale." Canadian Modern Language Review 77, no. 3 (August 1, 2021): 269–89. http://dx.doi.org/10.3138/cmlr-2020-0128.

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The present study examines the timing effect of form-focused instruction within a task on language performance. One hundred and ten university-level, French as a second language students of B1 and B2 proficiency performed a ranking task. Two groups received instruction on the subjunctive prior to completing the task, two groups received instruction during the task, and two groups received instruction after the task. Performance was analyzed along the lines of structural complexity, accuracy, fluidity, and lexical complexity. The group receiving instruction prior to task completion displayed the most structural complexity, overall accuracy, and fluidity. Instruction during the task resulted in the greatest degree of lexical complexity and accuracy with respect to the use of the subjunctive. The post-task instruction group did not stand out in any respect. The results of the study demonstrate that form-focus instruction given prior to task completion does not necessarily yield negative effects on performance, contrary to some theoretical predictions or pedagogical recommendations regarding Task-Based Language Teaching.

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Gong, Fanghai. "Workflow Scheduling Based on Mobile Cloud Computing Machine Learning." Wireless Communications and Mobile Computing 2021 (July 5, 2021): 1–13. http://dx.doi.org/10.1155/2021/9923326.

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In recent years, cloud workflow task scheduling has always been an important research topic in the business world. Cloud workflow task scheduling means that the workflow tasks submitted by users are allocated to appropriate computing resources for execution, and the corresponding fees are paid in real time according to the usage of resources. For most ordinary users, they are mainly concerned with the two service quality indicators of workflow task completion time and execution cost. Therefore, how cloud service providers design a scheduling algorithm to optimize task completion time and cost is a very important issue. This paper proposes research on workflow scheduling based on mobile cloud computing machine learning, and this paper conducts research by using literature research methods, experimental analysis methods, and other methods. This article has deeply studied mobile cloud computing, machine learning, task scheduling, and other related theories, and a workflow task scheduling system model was established based on mobile cloud computing machine learning from different algorithms used in processing task completion time, task service costs, task scheduling, and resource usage The situation and the influence of different tasks on the experimental results are analyzed in many aspects. The algorithm in this paper speeds up the scheduling time by about 7% under a different number of tasks and reduces the scheduling cost by about 2% compared with other algorithms. The algorithm in this paper has been obviously optimized in time scheduling and task scheduling.

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Liu, Lindong, Deyu Qi, Naqin Zhou, and Yilin Wu. "A Task Scheduling Algorithm Based on Classification Mining in Fog Computing Environment." Wireless Communications and Mobile Computing 2018 (August 1, 2018): 1–11. http://dx.doi.org/10.1155/2018/2102348.

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Fog computing (FC) is an emerging paradigm that extends computation, communication, and storage facilities towards the edge of a network. In this heterogeneous and distributed environment, resource allocation is very important. Hence, scheduling will be a challenge to increase productivity and allocate resources appropriately to the tasks. We schedule tasks in fog computing devices based on classification data mining technique. A key contribution is that a novel classification mining algorithm I-Apriori is proposed based on the Apriori algorithm. Another contribution is that we propose a novel task scheduling model and a TSFC (Task Scheduling in Fog Computing) algorithm based on the I-Apriori algorithm. Association rules generated by the I-Apriori algorithm are combined with the minimum completion time of every task in the task set. Furthermore, the task with the minimum completion time is selected to be executed at the fog node with the minimum completion time. We finally evaluate the performance of I-Apriori and TSFC algorithm through experimental simulations. The experimental results show that TSFC algorithm has better performance on reducing the total execution time of tasks and average waiting time.

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Casali, Sherry P., Robert D. Dryden, and Beverly H. Williges. "The Effects of Recognition Accuracy and Vocabulary Size of a Speech Recognition System on Task Performance and User Acceptance." Proceedings of the Human Factors Society Annual Meeting 32, no. 4 (October 1988): 232–36. http://dx.doi.org/10.1177/154193128803200405.

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The purpose of the present study was to determine the effects of recognizer accuracy and vocabulary size on system performance of a speech recognition system. Subjects, ranging in age from 20 to 55 years, performed a data entry task using a simulated speech recognizer which simulated three accuracy levels and three levels of available vocabulary. Task completion times and subjective measures of acceptability were recorded. Results indicated that the accuracy level at which the recognizer was performing significantly influenced the task completion time and the user's acceptability ratings. Vocabulary size also significantly affected task completion time, however, its affect on the acceptability ratings was negligible. Older subjects in general required longer times to complete the tasks, however, they consistently rated the speech input systems more favorably than the younger subjects.

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Shin, Choonsung, Brian Ziebart, and Anind K. Dey. "Serendipity-empowered path planning for predictive task completion." Journal of Ambient Intelligence and Smart Environments 7, no. 5 (September 4, 2015): 605–16. http://dx.doi.org/10.3233/ais-150337.

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Desmond, A. F., and G. R. Chapman. "Modelling Task Completion Data with Inverse Gaussian Mixtures." Applied Statistics 42, no. 4 (1993): 603. http://dx.doi.org/10.2307/2986178.

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Wilson, David, Michela Bertolotto, and Joe Weakliam. "Personalizing map content to improve task completion efficiency." International Journal of Geographical Information Science 24, no. 5 (April 19, 2010): 741–60. http://dx.doi.org/10.1080/13658810903074490.

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Westbrook, J. I., E. Coiera, W. T. M. Dunsmuir, B. M. Brown, N. Kelk, R. Paoloni, and C. Tran. "The impact of interruptions on clinical task completion." Quality and Safety in Health Care 19, no. 4 (May 12, 2010): 284–89. http://dx.doi.org/10.1136/qshc.2009.039255.

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Tanaka, Nobue. "Collaborative interaction as the process of task completion." JALT CALL Journal 1, no. 2 (August 31, 2005): 21–40. http://dx.doi.org/10.29140/jaltcall.v1n2.8.

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Tanaka, Nobue. "Collaborative interaction as the process of task completion." JALT CALL Journal 1, no. 2 (August 31, 2005): 21–40. http://dx.doi.org/10.29140/jaltcall.v1n2.r8.

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Puffer, Sheila M. "Task-Completion Schedules: Determinants and Consequences for Performance." Human Relations 42, no. 10 (October 1989): 937–55. http://dx.doi.org/10.1177/001872678904201005.

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Samanta, Palash, and Ranjan Kumar Mondal. "Load Balancing Through Arranging Task With Completion Time." International Journal of Grid and Distributed Computing 9, no. 5 (May 31, 2016): 273–82. http://dx.doi.org/10.14257/ijgdc.2016.9.5.23.

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Conrad, Frederick G., Mick P. Couper, Roger Tourangeau, and Andy Peytchev. "The impact of progress indicators on task completion." Interacting with Computers 22, no. 5 (September 2010): 417–27. http://dx.doi.org/10.1016/j.intcom.2010.03.001.

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Pontecorvo, Clotilde, and Gisella Paoletti. "Planning story completion in a collaborative computer task." European Journal of Psychology of Education 6, no. 2 (June 1991): 199–212. http://dx.doi.org/10.1007/bf03191938.

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Sreckovic, Melissa A., Kara A. Hume, and Tara E. Regan. "Use of Work Systems to Increase the Independence of Adolescents With Autism Spectrum Disorder." Career Development and Transition for Exceptional Individuals 43, no. 4 (August 20, 2020): 240–56. http://dx.doi.org/10.1177/2165143420948766.

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Developing skills for functional independence is important to gain employment, engage in postsecondary education, and live independently. Unfortunately, individuals with autism spectrum disorder (ASD) experience difficulties with functional independence skills needed to complete common, everyday tasks. This study examined the effects of work systems to increase independent task initiation and completion of tasks in home settings completed by three adolescents with ASD. The work systems were implemented by parents. Results indicated parent-implemented work systems are effective at increasing the task initiation and completion of everyday tasks, completed by adolescents with ASD.

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Dai, Liang, Zhong Shen, and Yi Lin Chang. "DMTA: A Task Scheduling Algorithm in Multi-Sinks Wireless Sensor Networks Based on Divisible Load Theory." Advanced Materials Research 143-144 (October 2010): 143–47. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.143.

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Multi-Sinks wireless sensor networks, a current research focus, has better stability and effectiveness compared to the traditional single-SINK structure. To solve the problem how to complete the tasks within the possibly shortest time, a task scheduling algorithm(DMTA) based on divisible load theory in multi-Sinks wireless sensor networks is proposed. In DMTA, the tasks are distributed to wireless sensor network based on the processing and communication capacity of each sensor by multiple Sinks respectively. By removing communications interference between each sensor, reduced task completion time and improved network resource utilization achieved. Simulation results show that DMTA reasonably distributes tasks to each node in wireless sensor networks, and effectively reduces the time-consuming of task completion.

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Agustin, Marcus A., and Edsel A. Peña. "A DYNAMIC COMPETING RISKS MODEL." Probability in the Engineering and Informational Sciences 13, no. 3 (July 1999): 333–58. http://dx.doi.org/10.1017/s0269964899133060.

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We consider a series system with p components where the failure rate of each component depends on the residual number of defects present. Successive tasks are given to the system with each task completion time independent of each component failure time. Based on the outcomes over a fixed testing period, the asymptotic properties of the estimators of the component parameters, task completion parameters, and eventual system reliability are obtained.

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Panchu, K. Padmanabhan, M. Rajmohan, M. R. Sumalatha, and R. Baskaran. "Route Planning Integrated Multi Objective Task Allocation for Reconfigurable Robot Teams Using Genetic Algorithm." Journal of Computational and Theoretical Nanoscience 15, no. 2 (February 1, 2018): 627–36. http://dx.doi.org/10.1166/jctn.2018.7137.

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This research work aims at multi objective optimization of integrated route planning and multi-robot task allocation for reconfigurable robot teams. Genetic Algorithm based methodology is used to minimize the overall task completion time for all the multi-robot tasks and to minimize the cumulative running time of all the robots. A modified matrix based chromosome is used to accommodate the robot information and task information for route planning integrated task allocation. The experimental validation is done with 3 robots and 4 tasks. For larger number of robots and tasks were simulated to perform route planning for maximum of 20 robots that would attend the maximum of 40 different multi-robot tasks. The results shows that the average task completion time per robot and average travel time per robot, decreases exponentially with increase in number of robots for fixed number of tasks. This method finds its application in allocating a robot teams to tasks and finding the best sequence for robots that work in coordination for material handling in hospital management, warehouse operations, military operations, cleaning tasks etc.

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Sweeny, Kate, and Kathleen D. Vohs. "On Near Misses and Completed Tasks." Psychological Science 23, no. 5 (April 3, 2012): 464–68. http://dx.doi.org/10.1177/0956797611434590.

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What is the nature and function of relief? Relief has been studied little in psychological science despite its familiarity and pervasiveness. Two studies revealed that relief can result from two distinct situations: the narrow avoidance of an aversive outcome ( near-miss relief) and completion of an onerous or aversive event ( task-completion relief). Study 1 found that recollections of near-miss relief were marked by more downward counterfactual thoughts and greater feelings of social isolation than recollections of task-completion relief. Study 2 experimentally elicited the two types of relief and found mediational evidence that relief following near misses elicits feelings of social isolation via its stimulation of counterfactual thinking. That near-miss relief is characterized by counterfactual thinking suggests that it prompts people to contemplate how to avert similar experiences in the future, whereas task-completion relief may serve to reinforce endurance during difficult tasks.

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Suamuang, Wuttiporn, Surachai Suksakulchai, and Elizabeth Murphy. "Factors affecting assignment completion in higher education." Journal of Applied Research in Higher Education 12, no. 5 (March 23, 2020): 1251–64. http://dx.doi.org/10.1108/jarhe-12-2019-0309.

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PurposeThe purpose of this paper is to simultaneously investigate a variety of factors related to assignment completion (AC) (i.e. task orientation, cooperation, teacher feedback, time management and time spent on AC).Design/methodology/approachThe study relied on a self-report survey to assess students' perceptions in relation to six variables. Participants included 1,106 undergraduate students from six public Thai universities. Analysis involved structural equation modeling.FindingsThis study provided new results related to task orientation as the strongest predictor of AC and time management. Cooperation and feedback improved AC with time management as an intervening variable. Time management and feedback did not predict time spent on AC.Research limitations/implicationsFuture studies might explore the potential range of assignments that, for example, count for a higher portion of the grade versus those that are less or unimportant in terms of the course. Future studies might also look at the role of group assignments in relation to completion. Semi-structured interviews or observations might provide insights into how students manage their time and why task orientation has the most effect on AC. Future research might investigate more specifically at what point time management does or does not affect completion. In general, given the growth of online learning and contexts in which students may be increasingly called on to complete assignments independently, factors such as those investigated in this study will require more attention in varying countries and contexts, generically and for individual subjects.Practical implicationsInstructional designers and instructors can promote task orientation through reliance on strategic scaffolding. For designing a task-oriented environment, instructors need to offer challenging assignments. Instructors should also assign work that encourages motivation, effort and achievement. To ensure that cooperative learning positively affects time management, instructors and designers can allot specific in-class time for completion of tasks, reliance on flipped classroom activities and student conversations regarding time restrictions and time-management skills. Instructors can be supported to help them provide appropriate types of feedback, as well as ideas for implementing the feedback in practice.Originality/valueLittle research has been conducted on AC in higher education. Those studies that have been conducted have focused on the elementary and secondary levels. Furthermore, studies have not always taken into account the complex relationships between different factors that can potentially influence AC.

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Hayes, Brian C., Ko Kurokawa, and Walter W. Wierwille. "Age-Related Decrements in Automobile Instrument Panel Task Performance." Proceedings of the Human Factors Society Annual Meeting 33, no. 3 (October 1989): 159–63. http://dx.doi.org/10.1177/154193128903300302.

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This research was undertaken, in part, to determine the magnitudes of performance decrements associated with automotive instrument panel tasks as a function of driver age. Driver eye scanning and dwell time measures and task completion measures were collected while 24 drivers aged 18 to 72 performed a variety of instrument panel tasks as each drove an instrumented vehicle along preselected routes. The results indicated a monotonically increasing relationship between driver age and task completion time and the number of glances to the instrument panel. Mean glance dwell times, either to the roadway or the instrument, were not significantly different among the various age groups. The nature of these differences for the various task categories used in the present study was examined.

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Wang, Shudong, Yanqing Li, Shanchen Pang, Qinghua Lu, Shuyu Wang, and Jianli Zhao. "A Task Scheduling Strategy in Edge-Cloud Collaborative Scenario Based on Deadline." Scientific Programming 2020 (March 18, 2020): 1–9. http://dx.doi.org/10.1155/2020/3967847.

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Task scheduling plays a critical role in the performance of the edge-cloud collaborative. Whether the task is executed in the cloud and how it is scheduled in the cloud is an important issue. On the basis of satisfying the delay, this paper will schedule tasks on edge devices or cloud and present a task scheduling algorithm for tasks that need to be transferred to the cloud based on the catastrophic genetic algorithm (CGA) to achieve global optimum. The algorithm quantifies the total task completion time and the penalty factor as a fitness function. By improving the roulette selection strategy, optimizing mutation and crossover operator, and introducing cataclysm strategy, the search scope is expanded. Furthermore, the premature problem of the evolutionary algorithm is effectively alleviated. The experimental results show that the algorithm can address the optimal local issue while significantly shortening the task completion time on the basis of satisfying tasks delays.

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Tifferet, Sigal. "The effect of grade framing on task engagement, task completion, and anticipated regret." Instructional Science 48, no. 4 (June 6, 2020): 475–94. http://dx.doi.org/10.1007/s11251-020-09516-3.

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Czarnolewski, Mark Y., and John Eliot. "Preliminary Identification of Nonlinear Correlations for Spatial Tests and Reaction-Time Tasks." Perceptual and Motor Skills 90, no. 2 (April 2000): 423–34. http://dx.doi.org/10.2466/pms.2000.90.2.423.

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Scores on three spatial tests (mental rotation, embedded figures, and gestalt completion) were significantly correlated with four same–different reaction-time tasks in a sample of 48 female university students. Scores on the Vandenberg-Kuse mental rotation test correlated best with a one-different–all-different task, embedded figures with a one-different-all-same task, and the gestalt completion with a one-same-all-same task, suggesting that the strategies subjects employ for each spatial test are similar to the strategies they use in each of the same–different tasks with which their scores correlate best. Present results support the position that stronger correlations than previously noted between scores on spatial tests and reaction-time tasks are observed when matching the tests and tasks in terms of hypothesized underlying processes.

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Endriani, Ninil, and Yarmis Syukur. "Kesiapan Siswa dalam Menyelesaikan Tugas Sekolah." Konselor 4, no. 4 (December 30, 2015): 185. http://dx.doi.org/10.24036/02015446470-0-00.

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School task in the form of school homework assignment (PR) is intended to provide insight into the subject matter to students who must the finishing. The fact is there are still students who didn't make the task because not understand the task, do not have book sources, there are students who cheat task friend and late to collect it. This phenomena indicate is readiness of students completing school task still less . The purpose of this research described readiness in school student finished the task seen from: (1) understanding students with task (2) preparation of source material/task (3) completion of Task (4) collect the task. The results showed that students have the readiness in completing the task of schools, however there are still some students don't have the readiness.

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Sadler, Eleanor D., Edina Avdic, Sara E. Cosgrove, Dawn Hohl, Michael Grimes, Meghan Swarthout, Kathryn Dzintars, Christopher K. Lippincott, and Sara C. Keller. "Failure modes and effects analysis to improve transitions of care in patients discharged on outpatient parenteral antimicrobial therapy." American Journal of Health-System Pharmacy 78, no. 13 (May 4, 2021): 1223–32. http://dx.doi.org/10.1093/ajhp/zxab165.

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Abstract Purpose To identify barriers to safe and effective completion of outpatient parenteral antimicrobial therapy (OPAT) in patients discharged from an academic medical center and to develop targeted solutions to potentially resolve or improve the identified barriers. Summary A failure modes and effects analysis (FMEA) was conducted by a multidisciplinary OPAT task force to evaluate the processes for patients discharged on OPAT to 2 postdischarge dispositions: (1) home and (2) skilled nursing facility (SNF). The task force created 2 process maps and identified potential failure modes, or barriers, to the successful completion of each step. Thirteen and 10 barriers were identified in the home and SNF process maps, respectively. Task force members created 5 subgroups, each developing solutions for a group of related barriers. The 5 areas of focus included (1) the OPAT electronic order set, (2) critical tasks to be performed before patient discharge, (3) patient education, (4) patient follow-up and laboratory monitoring, and (5) SNF communication. Interventions involved working with information technology to update the electronic order set, bridging communication and ensuring completion of critical tasks by creating an inpatient electronic discharge checklist, developing patient education resources, planning a central OPAT outpatient database within the electronic medical record, and creating a pharmacist on-call pager for SNFs. Conclusion The FMEA approach was helpful in identifying perceived barriers to successful transitions of care in patients discharged on OPAT and in developing targeted interventions. Healthcare organizations may reproduce this strategy when completing quality improvement planning for this high-risk process.

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Endriani, Ninil, and Yarmis Syukur. "Kesiapan Siswa dalam MenyelesaikanTugas Sekolah." Konselor 4, no. 3 (September 1, 2015): 130. http://dx.doi.org/10.24036/02015436465-0-00.

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School task in the form of school homework assignment (PR) is intended to provide insight into the subject matter to students who must the finishing. The fact is there are still students who didn't make the task because not understand the task, do not have book sources, there are students who cheat task friend and late to collect it. This phenomena indicate is readiness of students completing school task still less . The purpose of this research described readiness in school student finished the taskseen from: (1) understanding students with task (2) preparation of source material/task (3) completion of Task (4) collect the task. The results showed that students have the readiness in completing the task of schools, however there are still some students don't have the readiness.

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Chuang, Ming-Chin, Chia-Cheng Yen, and Chia-Jui Hung. "Bandwidth-Aware Rescheduling Mechanism in SDN-Based Data Center Networks." Electronics 10, no. 15 (July 24, 2021): 1774. http://dx.doi.org/10.3390/electronics10151774.

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Recently, with the increase in network bandwidth, various cloud computing applications have become popular. A large number of network data packets will be generated in such a network. However, most existing network architectures cannot effectively handle big data, thereby necessitating an efficient mechanism to reduce task completion time when large amounts of data are processed in data center networks. Unfortunately, achieving the minimum task completion time in the Hadoop system is an NP-complete problem. Although many studies have proposed schemes for improving network performance, they have shortcomings that degrade their performance. For this reason, in this study, we propose a centralized solution, called the bandwidth-aware rescheduling (BARE) mechanism for software-defined network (SDN)-based data center networks. BARE improves network performance by employing a prefetching mechanism and a centralized network monitor to collect global information, sorting out the locality data process, splitting tasks, and executing a rescheduling mechanism with a scheduler to reduce task completion time. Finally, we used simulations to demonstrate our scheme’s effectiveness. Simulation results show that our scheme outperforms other existing schemes in terms of task completion time and the ratio of data locality.

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Enticott, Peter G., John L. Bradshaw, Mark A. Bellgrove, Daniel J. Upton, and James R. P. Ogloff. "Stop Task After-Effects." Experimental Psychology 56, no. 4 (January 2009): 247–51. http://dx.doi.org/10.1027/1618-3169.56.4.247.

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In the stop task, response time to the go signal is increased when the immediately preceding trial involves the presentation of a stop signal. A recent explanation suggests that these “after-effects” are due to mechanisms that occur prior to the completion of response selection processes, but it is possible that they instead may reflect a slowed motor response (i.e., deliberate slowing after response selection). The participants completed a novel stop task that allows a differentiation between the time taken to prepare a movement (which incorporates response selection processes) and the time taken to execute a movement (i.e., speed of motor response). If mechanisms underlying stop task after-effects occur prior to the completion of response selection processes, then slowing should only occur during movement preparation. Movement preparation and execution time during go trials were analysed according to the characteristics of the preceding trial. Slowing after a stop trial was found during movement preparation time (regardless of inhibition success on that stop trial), and it further increased during this period when the primary task stimulus was repeated. There was also evidence for general after-effects during movement execution time, but no effect of repetition. These findings support the current theoretical accounts that suggest that repetition-based stop task after-effects are attributable to a mechanism that occurs prior to the completion of response selection processes, and also indicate a possible switch to a more conservative response set (as in signal detection theory terms) that results in deliberate slowing of movement.

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Journal articles on the topic 'Task completion'

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