Relevant bibliographies by topics / Monotonous tasks

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Monotonous tasks'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Monotonous tasks"

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Loukidou, Lia, John Loan-Clarke, and Kevin Daniels. "Boredom in the workplace: More than monotonous tasks." International Journal of Management Reviews 11, no. 4 (December 2009): 381–405. http://dx.doi.org/10.1111/j.1468-2370.2009.00267.x.

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KARUNGARU, STEPHEN, TOSHIHIRO YOSHIDA, TORU SEO, MINORU FUKUMI, and KENJI TERADA. "MONOTONOUS TASKS AND ALCOHOL CONSUMPTION EFFECTS ON THE BRAIN BY EEG ANALYSIS USING NEURAL NETWORKS." International Journal of Computational Intelligence and Applications 11, no. 03 (September 2012): 1250015. http://dx.doi.org/10.1142/s1469026812500150.

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An analysis of the Electroencephalogram (EEG) signals while performing a monotonous task and drinking alcohol using principal component analysis (PCA), linear discriminant analysis (LDA) for feature extraction and Neural Networks (NNs) for classification is proposed. The EEG is captured while performing a monotonous task that can adversely affect the brain and possibly cause stress. Moreover, we investigate the effects of alcohol on the brain by capturing the data continuously after consumption of equal amounts of alcohol. We hope that our work will shed more light on the relationship between such actions and EEG, and investigate if there is any relation between the tasks and mental stress. EEG signals offers a rare look at brain activity, while, monotonous activities are well known to cause irritation which may contribute to mental stress. We apply PCA and LDA to characterize the change in each component, extract it and discriminate using a NN. After experiments, it was found that PCA and LDA are effective analysis methods in EEG signal analysis.
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Ainslie, George. "Monotonous tasks require self-control because they interfere with endogenous reward." Behavioral and Brain Sciences 36, no. 6 (December 2013): 679–80. http://dx.doi.org/10.1017/s0140525x13000915.

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AbstractSelf-control is a necessary component of subjective effort, but it depends only on farsighted motivation, with no additional, depletable resource. The aversiveness of boring tasks probably comes from their interference with endogenous reward, a new and potentially controversial concept. The self-control needed to stick with any kind of aversive experience increases as the values of the competing motives draw closer together.
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Shupsky, Taylor, Kevin Morales, Carryl Baldwin, Peter Hancock, Eric T. Greenlee, William J. Horrey, and Charlie Klauer. "Secondary Task Engagement During Automated Drives: Friend and Foe?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 1926–30. http://dx.doi.org/10.1177/1071181320641464.

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Engaging in non-driving related tasks while driving (secondary tasks) can impair driving. Conversely, on monotonous or long drives secondary tasks may help fatigued drivers maintain alertness and vigilance. This potential benefit of secondary task engagement has received considerably less attention relative to the potential negative safety consequences. Vehicles are increasingly equipped with advanced infotainment centers and in-vehicle displays – increasing opportunities for secondary task engagement. Concurrently, vehicle automation can take over many of the driver’s tasks potentially resulting in underload and passive fatigue, while also potentially allowing for engagement in secondary tasks. Clarifying the distinctions between situations of unsafe versus acceptable or even potentially beneficial secondary task engagement is critical for automated vehicle safety. This panel will bring together experts in the diverse fields of driving, attention, and vehicle automation to discuss this important issue.
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Jarosch, Oliver, Hanna Bellem, and Klaus Bengler. "Effects of Task-Induced Fatigue in Prolonged Conditional Automated Driving." Human Factors: The Journal of the Human Factors and Ergonomics Society 61, no. 7 (January 18, 2019): 1186–99. http://dx.doi.org/10.1177/0018720818816226.

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Objective: The aim of this study was to investigate the effects of task-induced fatigue in prolonged conditional automated driving on takeover performance. Background: In conditional automated driving, the driver can engage in non–driving related tasks (NDRTs) and does not have to monitor the system and the driving environment. In the event that the system hits its limits, the human driver must regain control of the car. To ensure safety, adequate driver fallback performance is necessary. Effects of the drivers’ state and the engagement in NDRTs need to be investigated. Method: Seventy-three participants experienced prolonged conditional automated rides and simultaneously had to engage in either an activating quiz or a fatiguing monitoring task (between subjects). After 50 minutes, a takeover situation occurred, and participants had to regain control of the car. Results: Prolonged conditional automated driving and simultaneously engaging in NDRTs affected the driver’s state and the takeover performance of the participants. Takeover performance was impaired when participants had to deal with monotonous NDRTs. Conclusion: An engagement in monotonous monitoring tasks in conditional automated driving affects the driver’s state and takeover performance when it comes to takeover situations. Especially in prolonged automated driving, an adequate driver state seems to be necessary for safety reasons. Application: The results of this study demonstrate that engagement in monotonous NDRTs while driving conditionally automated may negatively affect takeover performance. A monitoring of the driver state and adapted assistance in a takeover situation seems to be a good opportunity to ensure safety.
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Suzuki, Satoshi, Satoki P. Ninomija, and Yusuke Yazu. "Effects of the Arousal in Monotonous Tasks Regarded as a Cognitive Work." Japanese journal of ergonomics 32, Supplement (1996): 230–31. http://dx.doi.org/10.5100/jje.32.supplement_230.

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Cabon, Ph, A. Coblentz, and R. Mollard. "Interruption of a Monotonous Activity with Complex Tasks: Effects of Individual Differences." Proceedings of the Human Factors Society Annual Meeting 34, no. 13 (October 1990): 912–16. http://dx.doi.org/10.1177/154193129003401302.

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Sokolova, N. I., and P. V. Tkachenko. "MANIFESTATION OF THE STATE OF MONOTONY WHEN PERFORMING ARBITRARY PURPOSEFUL BIMANUAL MOVEMENTS." Journal of Volgograd State Medical University 76, no. 4 (December 28, 2020): 146–51. http://dx.doi.org/10.19163/1994-9480-2020-4(76)-146-151.

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Bimanual coordination is necessary for successful performance of monotonous activities accompanied by monotonous complex-coordinated movements. Different types of complex operator tasks require a variety of coordination patterns with different levels of interaction between attention and hand movements. The article presents the results of studying the state of monotony when performing purposeful fine manipulative movements, considering the individual features of perception. The developed method of studying bimanual coordination allows us to establish the development of fatigue and monotony, which directly depends on the psychophysiological characteristics of a person.
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Sari, Hesti Permata, Fitria Kasih, and Citra Imelda Usman. "Model of The Group Guidance Service Design Using The Cinema Therapy Method In Helping Student Achievement of Development Tasks." Indonesian Journal of School Counseling: Theory, Application, and Development 1, no. 1 (April 27, 2021): 70. http://dx.doi.org/10.26858/ijosc.v1i1.19982.

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The research objectives describe:1.The task profile of students' developmental achievement in class XI SMAN 3 Mukomuko. 2.Implementation of group guidance in helping the achievement of developmental tasks carried out by the Guidance and Counseling Teacher. 3.The group guidance service design model using the cinema therapy method in helping the achievement of student developmental tasks. This study uses a mixed method. Dataanalysis techniques for Development Task Inventory(ITP). While qualitative research,techniques used in data processing through data reduction,data presentation and conclusion drawing. Based on the results of research the following conclusions can be drawn:1.The profile of the task of achieving the development of students in class XI of SMAN 3 Mukomuko seen from the Inventory of Development Tasks is generally at the level of self-awareness. 2.Implementation of group guidance in assisting the achievement of developmental tasks carried out by the Guidance and Counseling Teacher,providing monotonous group guidance, discussions, homeroom. 3.Thedesign model of group guidance services using the cinema therapy method in helping the achievement of student developmental tasks. Based on the results of the research,it can be recommended that the Guidance and Counseling Teachers be able to apply the group guidance service design model using the cinema therapy method.
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Alikonis, Caroline R., Joel S. Warm, Gerald Matthews, William N. Dember, Edward M. Hitchcock, and James J. Kellaris. "Vigilance, Workload, and Boredom: Two Competing Models." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 17 (September 2002): 1531–35. http://dx.doi.org/10.1177/154193120204601701.

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Two models that seek to explain the high workload associated with vigilance tasks are the direct-cost and indirect-cost views. The former attributes the elevated workload to the high information-processing demand of the task; the latter attributes it to efforts to combat the boredom associated with monotonous vigilance tasks. A recent study by Hitchcock et al. (1999) provided support for the direct-cost view by showing that it is possible to lower the workload of vigilance through reductions in the information-processing load while leaving task-induced boredom unaffected. This study provides converging evidence for the direct-cost view: allowing observers to listen to a stress-reducing musical selection, Heart Zones, during a vigil lowered boredom while leaving the perceived workload of the task unaffected. The beneficial effect of the musical selection was limited to boredom; it had no impact upon post-vigil feelings of loss of task engagement and distress.
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Dissertations / Theses on the topic "Monotonous tasks"

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Andersson, Andreas, Valentina Ferracane, and Elin Tärnblom. "Prestation genom motivation : En beskrivande studie om arbetsmotivation på två tillverkningsföretag." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-32379.

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Frågeställning Hur ser ledares syn på motivation ut? Hur arbetar ledare med att motivera medarbetare i produktionen? Varför arbetar ledare med att motivera medarbetare i produktionen? Vilka faktorer upplever medarbetare i produktionen som främst motiverande? Syfte Syftet med studien är att ur ett ledarskaps- och medarbetarperspektiv beskriva arbetsmotivation i tillverkningsföretag. Metod Studiens datainsamling genomfördes med flermetodsforskning - kvalitativ och kvantitativ metod - i en multipel fallstudie på två tillverkningsföretag. Semistrukturerade intervjuer genomfördes med totalt fem respondenter i ledarposition och slutna enkäter delades ut till medarbetarna i produktionen på respektive företag. Resultaten från intervjuerna analyserades tematiskt efter kodning och på enkätsvaren tillämpades univariat analys där variabler enskilt analyserats. Slutsats Studien påvisar att ledarna i tillverkningsbranschen antingen ser motivation som en inre drivkraft eller att den kommer ur arbetsglädje. Ledarna använder ett flertal metoder för att skapa arbetsmotivation för medarbetarna i produktionen. Bland dem är det endast arbetsrotation som tillämpas i syfte att motverka den negativa effekten av monotonitet i arbetsuppgifterna. Resurser används till arbetsmotivation i syfte att öka medarbetarnas produktivitet, prestation, måluppfyllelse och i slutändan för att säkerställa företagets framtid.Studien visar att de enligt medarbetarna främst motivationshöjande faktorerna är att få se resultatet av ett väl utfört arbete, att få ett erkännande för utförd arbetsuppgift, möjligheten att få utvecklas personligen på arbetet och att ha intressanta och lagom utmanande arbetsuppgifter.
Research questions What is the leaders view on motivation? How do leaders work to motivate manufacturing employees? Why do leaders work to motivate manufacturing employees? Which factors do manufacturing employees perceive to be most motivating? Purpose The purpose of the study is to describe work motivation in manufacturing companies from a leadership and employee perspective. Method The study applies a mixed methods research - qualitative and quantitative method - in a multiple case study at two manufacturing companies. Semi-structured interviews were conducted with a total of five respondents in leadership positions, and closed questionnaires were distributed to manufacturing employees in their respective companies. The interview results were analyzed thematically after coding, and the questionnaire results were analyzed with univariate analysis where variables were analyzed individually. Conclusion The study shows that leaders in the manufacturing industry either see motivation as an inner drive or that it comes from job satisfaction. Leaders use a variety of methods to create work motivation for manufacturing employees. Among them only job rotation is used to counteract the negative effects of monotonous work. Resources are put into work motivation in order to increase the employees’ productivity, performance, effectiveness and ultimately to ensure the future of the company.The study also shows that according to manufacturing employees the most motivating factors are to see the results of a job well done, recognition for one’s work, the opportunity of personal growth and to have interesting and challenging enough tasks.
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Wu, Tsun-ju, and 吳純如. "A Comparison Study of Fatigue Effects of Complex and Monotonous Roadway Environments upon Drivers’ Driving Behavior and Task Performance." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/43992769912336645687.

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碩士
國立雲林科技大學
工業工程與管理研究所碩士班
93
Fatigue experienced by drivers may be due to both pressure from an unfamiliar highway environment and its inherent monotony. However; (1) is there a difference between these two factors? And (2) does drivers'' fatigue arising from the previous stretch of highway transfer to the next? This study explored these two questions. The study utilized a driving simulator and involved 24 participants (gender balanced) in a within-subject factorial design experiment of 2 (highway environment: crowded urban vs monotonous rural) x 3 (fatigue level: non-fatigued vs. fatigued vs. fatigue transfer). Participants were requested to drive normally, whilst carrying out relevant cognitive tasks including; sound locating, traffic signs’ distance estimation and basic arithmetic, whilst simultaneously performing a divided attention task of discerning and responding to unexpected events. The participants completed a fatigue questionnaire before, during and after the experiment. Data collected included driving behaviour, reaction times, accuracy rates and subjective ratings. The findings showed that: (1) driver with fatigue caused by complex highways environment expended more attention resources on driving, and peformed worse on the secondary task, such as information process ability.(2) fatigue caused by monotonous highways had most impact on drivers reactive function, such as the ability of maintain the lateral position of car, and (3) both driving behaviour and performance of fatigued drivers were significantly worse when complex highways became monotonous than those of vice versa. From the above result, worse driving behavior, and cognitive ability of fatigue driver showed clearly in this study. The result of this study can be apply to develop a fatigue counteract device of ASV system, and be good for the design of safe road. Using the result of this study can offer an basis of enforcing the law, and can improve the road traffice safety.
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Book chapters on the topic "Monotonous tasks"

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Chiabert, Paolo, and Khurshid Aliev. "Analyses and Study of Human Operator Monotonous Tasks in Small Enterprises in the Era of Industry 4.0." In Product Lifecycle Management Enabling Smart X, 83–97. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9_8.

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"Job design to avoid monotonous tasks." In Fitting The Task To The Human, Fifth Edition, 231–39. CRC Press, 1997. http://dx.doi.org/10.1201/b16825-15.

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"Determining characteristic joints during monotonous tasks with motion sensor." In Industrial Engineering and Management Science, 49–54. CRC Press, 2014. http://dx.doi.org/10.1201/b17546-13.

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Smith, Gary. "Conclusion." In The AI Delusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824305.003.0015.

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We live in an incredible period in history. The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that never could be done before. I am addicted to computers and you may be, too. But we shouldn’t let our love of computers cloud our recognition of their limitations. Yes, computers know more facts than we do. Yes, computers have better memories than we do. Yes, computers can make calculations faster than we can. Yes, computers do not get tired like we do. Robots far surpass humans at repetitive, monotonous tasks like tightening bolts, planting seeds, searching legal documents, and accepting bank deposits and dispensing cash. Computers can recognize objects, draw pictures, drive cars. You can surely think of a dozen other impressive— even superhuman—computer feats. It is tempting to think that because computers can do some things extremely well, they must be highly intelligent. However, being useful for specific tasks is very different from having a general intelligence that applies the lessons learned and skills required for one task to more complex tasks or to completely different tasks. With true intelligence, skills are portable. Computers are great and getting better, but computer algorithms are still designed to have the very narrow capabilities needed to perform well-defined chores, not the general intelligence needed to deal with unfamiliar situations by assessing what is happening, why it is happening, and what the consequences are of taking action. Humans can apply general knowledge to specific situations and use specific situations to improve their general knowledge. Computers today cannot. Artificial intelligence is not at all like the real intelligence that comes from human brains. Computers do not know what words mean because computers do not experience the world the way we do. They do not even know what the real world is. Computers do not have the common sense or wisdom that humans accumulate by living life. Computers cannot formulate persuasive theories. Computers cannot do inductive reasoning or make long-run plans.
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Link, Stefan J. "Introduction." In Forging Global Fordism, 1–18. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691177540.003.0001.

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This introductory chapter provides an overview of Fordism. Fordism, in its most common usage, was a term that first originated in the 1970s and then boomed in the 1980s, when social scientists sought ways to theorize the structural crises of the industrialized West. Henry Ford in fact never used the term — his global admirers created it. Fordism enjoys a second popular usage: as a shorthand for a distinctively American modernity that is said to have spread across the world in the twentieth century, in a process that historians of Europe have called “Americanization.” Finally, Fordism is used in a third way that focuses more narrowly on what goes on inside firms and on shop floors. To labor historians, Fordism means the shop regime associated with mass production: a focus on unskilled laborers working monotonous tasks on assembly lines. The chapter then details how the spread of Fordism during the interwar years arose from an antagonistic development competition that was initially triggered by the rise of the United States and then accelerated by the Great Depression. It looks at how Detroit became the destination of engineering delegations bent on wholesale technology transfer.
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Conference papers on the topic "Monotonous tasks"

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Shahidi, Parham, Reza A. Soltan, Steve C. Southward, and Mehdi Ahmadian. "Estimating Changes in Speech Metrics Indicative of Fatigue Levels." In ASME 2010 Rail Transportation Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/rtdf2010-42010.

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In this paper, we are presenting a novel approach to estimate fatigue levels of train conductors, by analyzing the speech signal. An independent neural network joined with a Markov Model, will output the probability density, which illustrates the likelihood of the result of the first step to be accurate. Vigilance research has shown that, for most operators engaged in attention-intensive and monotonous tasks, retaining a constant level of alertness is almost impossible. Sleeping disorders, reduced hours of rest and disrupted circadian rhythms amplify this effect and lead to significantly increased fatigue levels. Increased fatigue levels manifest themselves in alterations of speech metrics, as compared to alert states of mind. To make a decision about the level of fatigue, we are proposing an alertness estimation system which uses speech metrics to generate a fatigue quotient indicative of the fatigue level. A speech pre-processor extracts metrics such as speech duration, word production rate and speech intensity from a continuous speech signal and uses a Fuzzy Logic algorithm to generate the fatigue quotient at any moment in time when speech is present. However, the nature of human interaction introduces levels of uncertainty, which make fatigue level recognition difficult. In other words, even with a perfectly trained neural network and Fuzzy Logic algorithm, we cannot make definite conclusions about the level of alertness. The reason being, that there is no guarantee that the estimated level of alertness is robust for a certain amount of time and didn’t come from drinking half a cup of coffee. Moreover, coming up with a perfect model of speech-fatigue (i.e. input-output) for humans, to train the Fuzzy algorithm is almost impossible. For this reason the study of “Risk and Uncertainty” is an integral part of this research. Motivated by the distinction between “risk” (randomness that can be fully captured by probability and statistics) and “uncertainty” (all other types of randomness), we propose a fine taxonomy: fully reducible, partially reducible, and irreducible uncertainty, that can explain some of the key differences between long term alertness and a short term change of state that makes the operator alert. An experimental study is conducted where a hyper articulated speech signal with three different levels of simulated fatigue is analyzed by the algorithm and a probability density function is assigned to the fatigue quotient to take the risk and uncertainty into account and make the overall result more reliable.
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Jap, Budi T., Peter Fischer, and Sara Lal. "Assessing a potential electroencephalography based algorithm during a monotonous train driving task in train drivers." In 2011 6th International Conference on Broadband and Biomedical Communications (IB2Com). IEEE, 2011. http://dx.doi.org/10.1109/ib2com.2011.6217908.

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Chan, Mark, and Paul Atchley. "Potential Benefits of a Concurrent Verbal Task when Feeling Fatigued Due to Monotonous Driving Conditions." In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2011. http://dx.doi.org/10.17077/drivingassessment.1391.

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Luo, Donghao, Bingbing Ni, Yichao Yan, and Xiaokang Yang. "Image Matching via Loopy RNN." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/335.

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Most existing matching algorithms are one-off algorithms, i.e., they usually measure the distance between the two image feature representation vectors for only one time. In contrast, human's vision system achieves this task, i.e., image matching, by recursively looking at specific/related parts of both images and then making the final judgement. Towards this end, we propose a novel loopy recurrent neural network (Loopy RNN), which is capable of aggregating relationship information of two input images in a progressive/iterative manner and outputting the consolidated matching score in the final iteration. A Loopy RNN features two uniqueness. First, built on conventional long short-term memory (LSTM) nodes, it links the output gate of the tail node to the input gate of the head node, thus it brings up symmetry property required for matching. Second, a monotonous loss designed for the proposed network guarantees increasing confidence during the recursive matching process. Extensive experiments on several image matching benchmarks demonstrate the great potential of the proposed method.
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