Bibliografie tematiche / Task-switching

Letteratura scientifica selezionata sul tema "Task-switching"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 9 marzo 2023

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Articoli di riviste sul tema "Task-switching"

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Chao, Naipeng, Cheng Wang e Yi Li. "Task Switching in Online Multitasking Behaviors". Journal of Advances in Computer Networks 4, n. 1 (2016): 75–79. http://dx.doi.org/10.18178/jacn.2016.4.1.207.

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2

Monsell, Stephen. "Task switching". Trends in Cognitive Sciences 7, n. 3 (marzo 2003): 134–40. http://dx.doi.org/10.1016/s1364-6613(03)00028-7.

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Schmitz, Florian, e Andreas Voss. "Components of task switching: A closer look at task switching and cue switching". Acta Psychologica 151 (settembre 2014): 184–96. http://dx.doi.org/10.1016/j.actpsy.2014.06.009.

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4

Rahamim, Ofer, Yoav Bar-Anan, Golan Shahar e Nachshon Meiran. "Task-Switching Methodology". Zeitschrift für Psychologie 221, n. 1 (gennaio 2013): 15–22. http://dx.doi.org/10.1027/2151-2604/a000126.

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Abstract (sommario):
In this paper, the authors review studies involving switching between an evaluative task and a nonevaluative task as a means to indirectly assess evaluative processes in the context of research of attitudes, psychopathology, and personality traits. Two task-switching indices, Switching Cost and Task Rule Congruency Effect, which represent two distinct sets of processes, have been used so far and can be assessed simultaneously. The authors suggest that using task-switching methodology as a platform provides significant methodological as well as theoretical advantages, which they attribute to the heightened involvement of the individual’s goal system, characterizing the task-switching paradigm.
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Liefooghe, Baptist. "Joint task switching". Journal of Cognitive Psychology 28, n. 1 (24 settembre 2015): 60–78. http://dx.doi.org/10.1080/20445911.2015.1084311.

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McDonald, Joseph D., Leslie A. DeChurch, Raquel Asencio, Dorothy R. Carter, Jessica R. Mesmer-Magnus e Noshir S. Contractor. "Team Task Switching". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 59, n. 1 (settembre 2015): 1157–61. http://dx.doi.org/10.1177/1541931215591179.

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7

Altmann, Erik M. "Task switching is not cue switching". Psychonomic Bulletin & Review 13, n. 6 (dicembre 2006): 1016–22. http://dx.doi.org/10.3758/bf03213918.

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Koch, Iring. "Sequential task predictability in task switching". Psychonomic Bulletin & Review 12, n. 1 (febbraio 2005): 107–12. http://dx.doi.org/10.3758/bf03196354.

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Dreisbach, Gesine, Thomas Goschke e Hilde Haider. "Implicit task sets in task switching?" Journal of Experimental Psychology: Learning, Memory, and Cognition 32, n. 6 (2006): 1221–33. http://dx.doi.org/10.1037/0278-7393.32.6.1221.

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10

Gade, Miriam, e Iring Koch. "Cue–task associations in task switching". Quarterly Journal of Experimental Psychology 60, n. 6 (giugno 2007): 762–69. http://dx.doi.org/10.1080/17470210701268005.

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Abstract (sommario):
Cognitive flexibility can be studied using the task-switching paradigm. This paradigm requires subjects to adapt behaviour to changing contexts as indicated by a cue. In our study, we addressed the question of how cue-based implementation of mental “task sets” occurs. We assumed that cues build up associations to the tasks that they indicate. These associations lead to retrieval of the associated task set once the cue shows up again. In three experiments, we tested this assumption using a negative transfer paradigm. First participants were exposed to one cue–task mapping. After a training phase, the cue–task mapping changed in either of two ways. Whereas one group of participants got new cues, the other experienced a reversal of the learnt cue–task mapping. Our results show that participants build up cue–task associations and that these formerly learnt associations can hamper the implementation of new cue–task mappings (particular with mapping reversal). Prolonged preparation time decreased the cost of changing the cue–task mapping but did not change the overall pattern of results.
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Tesi sul tema "Task-switching"

1

Li, Xiangqian. "Task-switching costs without task-switching". Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/8962/.

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Abstract (sommario):
It has been suggested that task-switching costs can be eliminated if participants memorise all stimulus-response mappings thereby avoiding task-switching altogether (Dreisbach, Goschke & Haider, 2006, 2007; Dreisbach & Haider, 2008). This has been labelled the “Look-Up Table” (LUT) approach. It has also been suggested that the LUT approach could potentially explain why animals such as monkeys (Stoet & Snyder, 2003; Avdagic et al., 2013) and pigeons (Castro & Wasserman, 2016; Meier, Lea & McLaren 2016) were able to perform task-switching without showing any task-switching costs (Dreisbach, et al., 2006, 2007; Dreisbach & Haider, 2008; Forrest, Monsell & Mclaren, 2014). In a series of eight experiments the following two questions were addressed: (1) Why do some participants show significant task-switching costs even when they do not switch between tasks (e.g., Forrest, Monsell & Mclaren, 2014)? (2) Can the LUT approach explain the absence of task-switching costs? In an attempt to answer both questions different sources of human task-switching costs are investigated in eight behavioural experiments. Chapter 1 provides an overview of different task-switching paradigms and accounts to explain task-switching costs. Chapter 2 summarises previous attempts to remove human task-switching costs. Evidence for the absence of task-switching costs in animals is also introduced. Following up on previous studies that suggested the LUT approach can explain the absence of task-switching costs, I conducted two task-switching experiments using visual tasks (i.e., colour task and shape task) with bivalent stimuli in an attempt to re-examine the conclusions of previous LUT studies (i.e., Dreisbach, et al., 2006, 2007; Dreisbach & Haider, 2008; Forrest, Monsell & Mclaren, 2014). The results in Chapter 2 indicate that human participants cannot always eliminate task-switching costs and do not always apply the LUT approach when the task-switching strategy is controlled. Therefore, the experiments in Chapter 3 and 4 sought to ascertain the requirements for eliminating task-switching costs when using the LUT approach. The experiments in Chapter 3 applied visual tasks where each task had a different stimulus-set. Experiments in Chapter 4 applied two classical mathematical tasks (i.e., big/small task, odd/even task) and used Chinese numbers as stimuli. The results of the experiments in Chapters 3 and 4 suggest that human participants must be able to give the correct answer without processing task-relevant features from the stimuli in order to eliminate task-switching costs. In the experiment of Chapter 5 the cue-stimulus-response mappings from Experiments 2.1 and 2.2 were rearranged so that switching between conventional tasks and rules became impossible. The results suggest that task-relevant features can trigger interferences thereby causing “task-switching costs” even when participants do not switch between tasks. In Chapter 7, I compare a modified interference account, introduced in Chapter 5, with the compound retrieval account (e.g., Logan & Schneider, 2010) and associative learning account (Forrest et al., 2014; Meier et al., 2016) in order to explain why human participants show task-switching costs even when they do not switch between tasks. I conclude that the modified interference account provides an alternative explanation. It has been proposed that only humans are affected by strong and long-lasting interference from previous trials during task-switching. As a consequence, this interference may explain why human participants consistently show task-switching costs whereas monkeys and pigeons show no task-switching costs.
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Brand, Sarah Louise. "Task switching and distractibility". Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1444120/.

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In this thesis I examined the effects of task switching on people's ability to ignore irrelevant distractors. Load theory proposes that distractor interference critically depends on the availability of executive control to minimise the effects of irrelevant stimuli (e.g. Lavie, 2000). Much work on task switching suggests that task switching demands executive control in order to prepare for and implement a switch between tasks (e.g. Monsell, 2003 Rubinstein, Meyer, & Evans, 2001). I therefore hypothesised that the executive demand of a task switch will result in reduced ability to reject irrelevant distractors in selective attention tasks. The research reported provided support for this hypothesis by showing that task switching results in greater distractor interference as measured with the "flanker task" (e.g. Eriksen & Eriksen, 1974) and with the attentional capture task (e.g. Theeuwes, 1990), even when there was no overlap between the stimuli and responses for the two tasks, and when task-repeated and switch trials were presented within the same block (in AAABBB designs). This research also showed that dissociable executive demands were involved in switching tasks (AAABBB), compared with mixing tasks (ABAB versus AAA), and these executive demands were found to control rejection of distractors in the flanker task and attentional capture task, respectively. In addition, task switching reduced internal distraction by task-unrelated thoughts. The contrast between the effects of task switching on internal versus external sources of distraction further supported the involvement of executive control in task switching. Finally, individual differences in operational span capacity predicted the magnitude of task switching costs and flanker interference effects, suggesting the involvement of executive control in both abilities. Overall, this research highlights a new consequence of task switching on selective attention and distractibility, supporting predictions derived from prevalent views on the role of executive control in task switching and selective attention.
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Perry, B. H. S. "Component processes in task switching". Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302498.

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Cooper, Stephen. "Task switching and response processes". Thesis, Bangor University, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494187.

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Abstract (sommario):
When switching between tasks, participants are sometimes required to use different response sets for each task: So, task switch and response set switch are commonly confounded. Eleven experiments divided into three series examined transitions of response within a linear four-finger arrangement. The first series examined cued grouping by hand or finger equivalence in both single task and task switching designs. The second considered the effect upon transitions of response when full repetition of the stimulus was included in the design. Results showed that part of the task switch cost is associated with switching between response sets, particularly those of hand.
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Longman, Cai Stephen. "Spatial attention in task switching". Thesis, University of Exeter, 2014. http://hdl.handle.net/10871/15729.

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This thesis is a systematic investigation of preparatory reorienting of task-relevant spatial attention. Task switching experiments typically report a performance overhead when the current task is different to that performed on the previous trial relative to when the task repeats. This ‘switch cost’ tends to reduce as participants are given more time to prepare (consistent with an active reconfiguration process) but a ‘residual’ switch cost usually remains even at very long preparation intervals (often interpreted as evidence of carryover of response selection parameters from the previous trial which are immune to preparation). Although attentional selection of perceptual attributes is often considered to be part of task-set and is included in some models of task-set control, little research has investigated the dynamics of this component in detail. Over a series of seven experiments in which tasks were consistently mapped to screen locations, eye-tracking was used to systematically investigate task-relevant spatial selection of perceptual attributes during the preparation interval and early after stimulus onset. Experiment 1 revealed a switch-induced delay in appropriate attention orientation and a measure of ‘attentional inertia’ which could not be explained by task-independent re-orienting to locations or low-level oculomotor phenomena but were markers of task-relevant spatial selection. Experiment 2 provided a sensitive measure of both of these attentional handicaps and demonstrated that they both contribute to the switch cost (including its residual component). Although attentional inertia reduced with preparation, both handicaps were present at the longest preparation intervals. The constancy of the delay in attending to the relevant attribute reflects the effort to re-allocate attention, rather than peculiarities of spatial orienting when the cue and stimulus are presented near-simultaneously on trials with short cue-stimulus intervals. The presence of attentional inertia in blocks with long preparation intervals suggested some component of inertia immune to preparation (though see Experiments 5 and 6 below). Experiments 3 and 4 investigated the extent to which attentional selection can be decoupled from other task-set components. Cues which explicitly provided location information reduced (or eliminated) the attentional effects found in Experiment 2 indicating that attentional selection can be decoupled from other task-set components. However, Experiment 3 found that the ‘natural’ state is for attentional selection to be coupled at least to a degree (and accessed via) task-set. Experiment 5 combined eye-tracking with ERPs to investigate the relative order of attentional selection and reconfiguration of other task-set components. A well-documented ERP marker of task-set preparation always followed onset of the first fixation on the currently relevant stimulus element indicating that (at least some) task-set components are reconfigured in a serial order with spatial selection preceding other components (e.g., loading of S-R rules or other parameters into working memory). Experiments 6 and 7 investigated the nature of attentional inertia. In Experiment 6 participants were given ultimate control over the duration of the preparation interval which eliminated attentional inertia (at least as indexed by preferential fixation of the previously relevant element on switch trials). In Experiment 7 the stimulus comprised three items which were from perceptually distinct classes (digits, letters, objects) to investigate whether the presence of task-specific features would elicit extra attentional inertia and whether early spatial selection was effective enough to block the processing of task-irrelevant features once the stimulus was presented. Although there was some evidence that the previously relevant stimulus element ‘captured’ attention, this tendency was modest in the fixations and absent in performance measures (response congruence effects).
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Liu, Chialun. "Hierarchical control in task switching". Thesis, University of Oxford, 2018. http://ora.ox.ac.uk/objects/uuid:5dc1f9d4-fbfd-4652-9e1e-bc1b544c7a65.

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Human flexible behaviour is often seen in everyday life tasks. These tasks (e.g., making coffee) are composed of actions (e.g., pouring sugar) that are typically nested within a large task structures made of superordinate components and nested subcomponents. Task switching has been adopted widely as an effective tool to explore the mechanisms of flexible behaviour and can be easily adapted to real-life situations. The core hypothesis explored in this thesis was that there might be another level of control that is responsible for coordinating and scheduling actions in task switching, which I label "meta-control". My first project aimed to establish robust behavioural evidence of meta-control. To test this hypothesis, switching efficiency was treated as a measure of meta-control influence. In a novel design, participants' beliefs about switch probability were manipulated through explicit instruction, allowing manipulation of meta-level control independent of the specific sequence of tasks required. The first three behavioural experiments demonstrated behaviorally that instructions influenced the efficiency of switching even when low-level (bottom-up) experience was matched, and that this effect was motivation-dependent. In follow-up studies, this meta-control influence was found to bias voluntary task selection. Two EEG studies aimed to characterize the level at which instruction affected processing. Motor and task levels were examined with lateralized motor potentials and oscillatory alpha power, respectively. Effects of instruction only existed on alpha power. Overall, the results suggest that expectancy prompts the adoption of distinct control modes across sequences of trials. The second project explored meta-control in a task switching paradigm with a hierarchical task structure in very short (2-4 trial) sequences that were preceded by instructions about switch frequency or switch position. The experiments focused on the benefits and costs of sequence structure, based on the hypothesis that trial sequences are treated as coherent units. Three behavioural studies were conducted for testing this hypothesis. The first utilized instructions about switch frequency to test for sequence transition effects and their influence on switching performance at the trial level. In two subsequent experiments, instructions made explicit the position of a task switch. The results confirmed that instructions about switch position helped participants to build useful sequence representations, and that alternating between sequences influenced trial-level switch processes. Generally, sequence representations have a persisting influence across trials and a pronounced impact at the first trial position of sequences. The experiments in this thesis provide evidence of meta-control in task switching. The first conclusion is that meta-control can be studied with the novel experimental design introduced in this thesis and was found to be reward dependent. The second conclusion is that meta-control acts as a set of parameters that can modulate the mode of control in a sustained way across trials.
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Forrest, Charlotte Louise. "An associative approach to task switching". Thesis, University of Exeter, 2012. http://hdl.handle.net/10036/3730.

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This thesis explores the behaviour of participants taking an associative approach to a task-cueing paradigm. Task-cueing is usually intended to explore controlled processing of task-sets. But small stimulus sets plausibly afford associative learning via simple and conditional discriminations. In six experiments participants were presented with typical task-cueing trials: a cue (coloured shape) followed by a digit (or in Experiment 5 a symbol) requiring one of two responses. In the standard Tasks condition (Monsell Experiment and Experiments 1-3), the participant was instructed to perform either an odd/even or a high/low task dependent on the cue. The second condition was intended to induce associative learning of cue + stimulus-response mappings. In general, the Tasks condition showed a large switch cost that reduced with preparation time, a small, constant congruency effect and a small perturbation when new stimuli were introduced. By contrast the CSR condition showed a small, reliable switch cost that did not reduce with preparation time, a large congruency effect that changed over time and a large perturbation when new stimuli were introduced. These differences may indicate automatic associative processing in the CSR condition and rule-based classification in the Tasks condition. Furthermore, an associative model based on the APECS learning algorithm (McLaren, 1993) provided an account of the CSR data. Experiment 3 showed that participants were able to deliberately change their approach to the experiment from using CSR instructions to using Tasks instructions, and to some extent vice versa. Experiments 4 & 5 explored the cause of the small switch cost in the CSR condition. Consideration of the aspects of the paradigm that produced the switch cost in the APECS model produced predictions, which were tested against behavioural data. Experiment 4 found that the resulting manipulation made participants more likely to induce task-sets. Experiment 5 used random symbols instead of numbers, removing the underlying task-sets. The results of this experiment broadly agreed with the predictions made using APECS. Chapter 6 considers an initial attempt to create a real-time version of APECS. It also finds that an associative model of a different class (AMAN, Harris & Livesey, 2010) can provide an account of some, but not all, of the phenomena found in the CSR condition. This thesis concludes that performance in the Tasks condition is suggestive of the use of cognitive control processes, whilst associatively based responding is available as a basis for performance in the CSR condition.
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Essig, Fiona. "Cognitive control in verbal task switching". Thesis, University of Hertfordshire, 2015. http://hdl.handle.net/2299/16339.

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Task switching produces a number of reliable behavioural measures, the main focus of interest here being 'switch cost', the increase in response time when switching between tasks as opposed to performing them separately. Switch costs are typically measured between two tasks and compared to a single-task repeat condition. Current explanations of switch cost fall broadly into either active reconfiguration based accounts (e.g. Rogers & Monsell, 1995) whereby the extra time taken to switch between tasks is attributable to reconfiguration of task set, or passive carryover accounts (Allport, Styles & Hsieh, 1994) where extra time is accrued by the need to overcome conflict between the current task set and the enduring activity of the previous task set. This thesis used the Continuous Series II (Gurd, 1995), a novel continuous verbal switching task which requires individuals to switch continuously between increasing numbers of overlearned sequences (e.g. days, numbers). The aim was to investigate the application of general (whole-task) switch costs (RT costs), memory-based switching and the differential pattern of errors produced by the task, with a view to determining the most appropriate theoretical model to explain costs in the task. General switch costs are measured over the whole time course of the task from beginning to end, instead of the more usual measurement of switch cost over a single switch or repeat within the whole task. Such long-term measures of switch cost account for 'global representational structures' in the task, which are said to contribute to the cost of switching yet are absent from local transitional measures (Kleinsorge, Heuer & Schmidtke, 2004). Global representational structures account for not only the current and preceding trials actually performed but also the possible alternatives for the preceding, current and subsequent trials, thereby reflecting all representations relating to performance of the tasks. The Continuous Series II (Gurd, 1995) measures costs continuously over time between increasing numbers of verbal tasks and as yet has not been linked to either a reconfiguration or carryover-based account. Initial administration to healthy controls and neurological patients confirmed difficulty-related increasing costs and revealed a dissociation of errors between two versions of the task, one including semantic categories. This suggested differential sources of control overseeing conflict detection and resolution, linked in this work to Kahneman's dual system model (Kahneman, 2011) and suggesting the implication of active control. Further work with monozygotic twins mirrored for handedness revealed no predicted effect of handedness but did reveal the employment of vocalised inner-speech as a successful self cueing device, known to be supportive of active reconfiguration in switching (Monsell, 2005). Such cueing was employed by this sample of older adults but had not appeared to benefit the neurological patients who clearly had reconfiguration deficits. Further development of the two versions of the task also allowed rejection of a passive carryover explanation of switch-cost on the basis that switching to the easier task was not more difficult, counter to the prediction of Allport, Styles & Hsieh (1994). At this stage it was evident that some portion of general cost for the task may be artefactual, as participants displayed behaviour suggesting the order of tasks and their updating nature (task content) may be inflating cost beyond a pure measure of switching (an inevitable risk of general switch cost measurement). Investigation of task order showed that production of the category 'days' appeared to conflate sources of error. Reducing the difficultly of component tasks (removing the need to update items) demonstrated that a substantial proportion of general cost was indeed purely switch-related. Returning to the question of cueing (previously demonstrated to be beneficial when self-generated), the final study introduced explicit external cues, consistently predicted to benefit switching (Monsell, 2005). These cues did not reduce time costs in verbal task switching and furthermore failed to prevent errors of task order. The lack of external cue benefit supports an amended version of the Rogers & Monsell (1995) task-set reconfiguration model as the best explanation of switch costs in verbal task-switching. This amended model relies entirely on internally generated representations in a closed system and supports the role of active control in generating switch-cost. General cost, while incorporating task-related artefacts, rehearsals and error recovery, nevertheless has at its core a switch related element. Furthermore, the failure of cues to extinguish between-task errors negates excessive reliance on working memory and further supports the rejection of passive carryover accounts of task switch cost.
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Panepinto, Marie. "The Effects of Voluntary versus Forced Task Switching on Task Performance". NCSU, 2009. http://www.lib.ncsu.edu/theses/available/etd-10292009-105633/.

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Abstract (sommario):
Research on task switching has focused on the relatively well known task switching cost, usually defined as an increase in RT on a trial directly following a switch. Two main issues with previous studies suggest that their results may not be applicable to real world scenarios; one, that they typically use short and arbitrary tasks in comparison to real work situations and two, that the vast majority force participants to switch rather than allowing them to do so voluntarily, as is common in the workplace. The current experiment utilized two longer lasting tasks (document proofreading and a Sudoku puzzle) to more closely resemble real world sitations and four task switching groups. One group switched voluntarily, one was forced without warning, one was forced with a cue that a switch would be coming, and one served as a no switch control group. Performance, reaction time, and mental workload (NASA-TLX) were measured. Task switch group produced no differential effects on these variables, and no task switching cost was found. Though the hypothesis were not met, these results lend support to the notion that previous lab studies may not adequately resemble real world scenarios and that micromanaging small tasks, and switching between comparatively longer lasting tasks may not be the same thing. More research on this area may help to produce a better understanding of why people task switch and what they experience cognitively when they do so.
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Grange, James A. "Control of cognitive processes in task-switching". Thesis, Bangor University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528334.

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Libri sul tema "Task-switching"

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Kray, Jutta. Adult age differences in task switching: Components, generalizability, and modifiability. Lengerich: Pabst Science Publishers, 2000.

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2

G, Ogier Richard, e Lewis Research Center, a cura di. Technical support for digital systems technology development: Task order 1, ISP contention analysis and control. Menlo Park, Calif: SRI International, 1993.

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Office, General Accounting. Telecommunications: GSA needs to improve process for awarding task orders for local service : report to the Chairman, Committee on Government Reform, House of Representatives. Washington, D.C: The Office, 2003.

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4

Grange, James, e George Houghton, a cura di. Task Switching and Cognitive Control. Oxford University Press, 2014. http://dx.doi.org/10.1093/acprof:osobl/9780199921959.001.0001.

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Task Switching and Cognitive Control. Oxford University Press, 2014.

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Task Switching and Cognitive Control. Oxford University Press, Incorporated, 2014.

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Task Switching and Cognitive Control. Oxford University Press, Incorporated, 2014.

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8

Strobach, Tilo, Mike Wendt e Markus Janczyk, a cura di. Multitasking: Executive Functioning in Dual-Task and Task Switching Situations. Frontiers Media SA, 2018. http://dx.doi.org/10.3389/978-2-88945-453-2.

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Task Switching, topical issue of the Zeitschrift fuer Psychologie. Hogrefe Publishing, 2013.

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10

Qi, Donald Shuguang. Language switching in the thinking processes underlying second-language composing task performance among mandarin-english bilinguals in the context of computer studies. 2003.

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Capitoli di libri sul tema "Task-switching"

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Hartmann, Melanie, e Dirk Schnelle. "Task Switching in Audio Based Systems". In Text, Speech and Dialogue, 597–604. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11846406_75.

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Wall, Friederike. "Switching Costs in Turbulent Task Environments". In Springer Proceedings in Complexity, 457–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34127-5_46.

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Tuci, Elio. "Evolutionary Swarm Robotics: Genetic Diversity, Task-Allocation and Task-Switching". In Lecture Notes in Computer Science, 98–109. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09952-1_9.

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4

Koch, Iring, e Andrea Kiesel. "Task Switching: Cognitive Control in Sequential Multitasking". In Handbook of Human Multitasking, 85–143. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04760-2_3.

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Sozinov, Alexey A., Yuri V. Grinchenko, Anastasia V. Bakhchina, Maria Zubtsova e Yuri I. Alexandrov. "Subserving of Task Switching in Rabbits' Cingulate Cortex Neurons". In Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics, 439–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71637-0_50.

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Zheng, Xinyi, Yinghong Su, Yanqun Yang e Said Easa. "Evaluation of Dual Task Switching Behavior of Smartphone Addicted Drivers". In Lecture Notes in Electrical Engineering, 788–802. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2259-6_70.

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Léger, Pierre-Majorique, Elise Labonté-Lemoyne, Marc Fredette, Ann-Frances Cameron, François Bellavance, Franco Lepore, Jocelyn Faubert et al. "Task Switching and Visual Discrimination in Pedestrian Mobile Multitasking: Influence of IT Mobile Task Type". In Information Systems and Neuroscience, 245–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28144-1_27.

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Sheynikhovich, Denis, Laurent Dollé, Ricardo Chavarriaga e Angelo Arleo. "Minimal Model of Strategy Switching in the Plus-Maze Navigation Task". In From Animals to Animats 11, 390–401. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15193-4_37.

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Muñoz Martín, Ricardo, e Matthias Apfelthaler. "Spillover Effects in Task-Segment Switching: A Study of Translation Subtasks as Behavioral Categories Within the Task Segment Framework". In Advances in Cognitive Translation Studies, 19–45. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2070-6_2.

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Wang, Zhongqing, Shoushan Li, Fan Wu, Qingying Sun e Guodong Zhou. "Overview of NLPCC 2018 Shared Task 1: Emotion Detection in Code-Switching Text". In Natural Language Processing and Chinese Computing, 429–33. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99501-4_39.

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Atti di convegni sul tema "Task-switching"

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Sun, Guolei, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Menelaos Kanakis, Jagruti Patel, Dengxin Dai e Luc Van Gool. "Task Switching Network for Multi-task Learning". In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.00818.

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David Bowman, Nicholas, Justin Keene e Christina Jimenez Najera. "Flow Encourages Task Focus, but Frustration Drives Task Switching". In CHI '21: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3411764.3445678.

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Genci Capi. "Robot task switching in complex environments". In 2007 IEEE/ASME international conference on advanced intelligent mechatronics. IEEE, 2007. http://dx.doi.org/10.1109/aim.2007.4412489.

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Wawerla, Jens, e Richard T. Vaughan. "Robot task switching under diminishing returns". In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009). IEEE, 2009. http://dx.doi.org/10.1109/iros.2009.5354126.

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Gifford, Toby. "Tuning Into The Task: Sonic Environmental Cues And Mental Task Switching". In The 22nd International Conference on Auditory Display. Arlington, Virginia: The International Community for Auditory Display, 2016. http://dx.doi.org/10.21785/icad2016.039.

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Abstract (sommario):
This position paper suggests a novel approach to enhancing productivity for professionals whose core business is deep thinking, by manipulation of the sonic environment. Approaching the issue from the perspective of sound-design, it proposes the composition and algorithmic generation of background soundscapes that promote a psychological state of flow [1], and can become mentally associated with particular tasks through exposure, so as to facilitate task switching by switching soundscapes. These background soundscapes are intended to mask distracting clatter, oppressive quiet, and other suboptimal sonic environments frequently encountered in office workplaces. Consequently, I call them active-silences— soundscapes designed to be not heard, although they may be relatively loud. The most commonly used active-silence is white noise, though there are surprisingly diverse other approaches to crafting active-silence. This variety suggests the possibility of training associations that pair distinct active-silences with distinct mental tasks.
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Fuchen, Dongxin, Ningyue Peng, Haiyan Wang, Yafeng Niu e Chengqi Xue. "The View Switching Cost Analysis by the Visuo auditory Dual-task Paradigm". In Human Systems Engineering and Design (IHSED 2021) Future Trends and Applications. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe1001182.

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Abstract (sommario):
View switching, for example different information density, type and magnitude, will cause additional switching cost between different scene. In this paper, the user interface of different information density will be used to explore the additional switching cost between different view transition through the dual-task paradigm. We use visual-auditory task to observe the interactive effect between the two tasks. Subjects need to do the searching and counting task in visual scene and do auditory task response in the meantime. We find that 1) view switching (information density) will generate additional switching cost from the scene of low information density to high information density by analyzing the visual task performance; 2) the mutual effect is obvious when subjects do the visual and auditory task at the same time that visual searching and counting task will expend more cognitive resources than auditory response task as the dual-task goes on.
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Suzuki, Satoshi. "Visualization of task switching strategy of machine operation". In 2009 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2009. http://dx.doi.org/10.1109/icnsc.2009.4919329.

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Yang, Xiao, Nilam Ram, Thomas Robinson e Byron Reeves. "Using Screenshots to Predict Task Switching on Smartphones". In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290607.3313089.

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Czerwinski, Mary, Eric Horvitz e Susan Wilhite. "A diary study of task switching and interruptions". In the 2004 conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/985692.985715.

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D'Ambrosio, David B., Joel Lehman, Sebastian Risi e Kenneth O. Stanley. "Task switching in multirobot learning through indirect encoding". In 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iros.2011.6048150.

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Rapporti di organizzazioni sul tema "Task-switching"

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Engle, Randall W., e Michael J. Kane. Working Memory, Controlled Attention and Task Switching. Fort Belvoir, VA: Defense Technical Information Center, marzo 2000. http://dx.doi.org/10.21236/ada375952.

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Shinohara, Kazumitsu, e Toshiaki Miura. Sustained Distraction Effect on Visual Search Task Induced by Task Switching. Warrendale, PA: SAE International, maggio 2005. http://dx.doi.org/10.4271/2005-08-0049.

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Swaminathan, Vishnu, e Krishnendu Chakrabarty. Investigating the Effect of Voltage-Switching on Low-Energy Task Scheduling in Hard Real-Time Systems. Fort Belvoir, VA: Defense Technical Information Center, gennaio 2005. http://dx.doi.org/10.21236/ada440180.

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