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PARALLEL PROCESSING IN MULTITASKING
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Serial and Parallel Processing in Multitasking: Concepts and the Impact of 2
Interindividual Differences on Task and Stage Levels 3
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Jovita Brüning 1*, Valentin Koob2*, Dietrich Manzey1, and Markus Janczyk2 5
1 Department of Psychology and Ergonomics, Technische Universitaet Berlin 6
2 Department of Psychology, University of Bremen 7
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Jovita Brüning
https://orcid.org/0000-0002-9554-4179
Valentin Koob
https://orcid.org/0000-0003-0186-7186
Dietrich Manzey
https://orcid.org/0000-0002-6977-7024
Markus Janczyk
https://orcid.org/0000-0002-9958-3220
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Competing Interests: The authors have no competing interests to declare. 12
Raw data and stimulus material are available via the Open Science Framework at 13
https://osf.io/tw8qx/?view_only=f5e4bec9428844e9b0434894b1d3a4c9 14
Author Note 15
* Shared first-authorship. The order of the first authors is alphabetical. 16
This research was supported by a grant awarded to Jovita Brüning within the Priority Program 17
1772 on “Human performance under multiple cognitive task requirements: From basic mechanisms to 18
optimized task scheduling” funded by the Deutsche Forschungsgemeinschaft (DFG) and by grant 19
JA2307/6-1 funded by the DFG and awarded to Markus Janczyk. This study was not preregistered. 20
Correspondence concerning this article should be addressed to Jovita Brüning, Work, Engineering and 21
Organizational Psychology, Technische Universitaet Berlin, Marchstrasse 12, D-10587 Berlin, 22
Germany. E-mail: jovita.bruening@tu-berlin.de. 23
PARALLEL PROCESSING IN MULTITASKING
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Abstract 1
In multitasking research, a central question revolves around whether humans can process 2
tasks in parallel. What 'in parallel' refers to, however, differs between research perspectives 3
and experimental approaches. From a task-level perspective, parallel processing can be 4
conceived as to whether complete tasks are processed in an overlapping manner and how this 5
impacts task performance. In contrast, a large body of literature solely focuses on the central 6
stage of response-selection and whether it can run in parallel with other processing stages, an 7
approach we refer to as the stage-level perspective. Importantly, although each perspective 8
addresses related topics and highlights inter-individual differences, they evolved through 9
independent lines of research. In two experiments, we have taken a first step to investigate if 10
individuals' tendencies for an overlapping versus serial processing mode on the task level are 11
related to vulnerabilities for task interference on the stage level. Individual preferences for 12
either task processing mode were assessed in the task switching with preview (TSWP) 13
paradigm. Individuals’ vulnerability for task interference was assessed with the backward 14
crosstalk effect (BCE) in a classical dual-task. Our results suggest that individuals who prefer 15
overlapping relative to serial task processing at the task level are less vulnerable to task 16
interference during response selection, indicated by a smaller BCE. This difference, however, 17
only emerged in the second experiment with an increased sample size and with task-stimuli 18
that facilitate a bottom-up separation of tasks in the dual-task. 19
Keywords 20
multitasking; backward crosstalk; task switching; interindividual differences 21
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PARALLEL PROCESSING IN MULTITASKING
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Public Significance Statement 1
There is a considerable range from basic to more applied research in multitasking. However, 2
few studies have tried to link the different research perspectives and experimental approaches 3
employed in basic multitasking research, and even fewer have addressed their relation to more 4
applied multitasking. The present study addresses this gap using an interindividual differences 5
approach. We show that individuals who process multiple tasks in a parallel way in a less 6
restrictive paradigm tend to be less vulnerable to task interference in a paradigm derived from 7
basic multitasking research. Thereby, the study contributes to the literature by describing a 8
relation between multitasking effects found on the level of specific processing stages and on 9
the task level. 10
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PARALLEL PROCESSING IN MULTITASKING
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Serial and Parallel Processing in Multitasking: Concepts and the Impact of Inter-1
individual Differences on Task and Stage Levels. 2
Introduction 3
The idea that multitasking has detrimental effects on performance became a dominant 4
claim in recent decades. Whether you chat with friends or browse the public media, the 5
consensus is that multitasking doesn't actually work and is, thus, more harmful than useful 6
(e.g., MacMillan, 2016; Rosen, 2008; Schindler, 2015). Arguments favoring this claim 7
emerge from a still ongoing debate: Can we really process and perform tasks “in parallel”, or 8
is the introspective impression of parallel processing just the result of efficient task-9
scheduling, but essentially serial processing? At least, it is relatively clear that people often (if 10
not always) engage in multitasking, that is, they perform two or more tasks with some 11
temporal overlap. 12
An attempt to answer these questions must first consider what parallel processing13
actually means. Although this seems rather simple at first glance, it turns out that the concept 14
is used differently across research perspectives. One perspective on parallel processing relates 15
to two-process theories of information processing. Examples are the distinction of automatic 16
and controlled processes (Shiffrin & Schneider, 1977), volitional and automatic control of 17
action (Norman & Shallice, 1986), reflective and impulsive systems (Strack & Deutsch, 18
2004), or fast and slow thinking (Kahneman, 2011). Common to these theories is the 19
assumption that information processing either runs automatically, that is, via direct stimulus-20
response translations with no or only little voluntary control, or in a more controlled way, 21
demanding deliberate allocation of attention (Norman & Shallice, 1986). In this context, it is 22
often noted that only automatic processes can in principle run in parallel with other processes 23
without necessarily affecting them, whereas controlled processing is essentially serial 24
(Shiffrin & Schneider, 1977). This does not exclude the occurrence of interference effects 25
between automatic and controlled processes, though. The latter can arise, for example, if 26
PARALLEL PROCESSING IN MULTITASKING
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automatic processing leads to an automatic attention capture (Shiffrin & Schneider, 1977), or 1
to outcome conflicts with a controlled process running in parallel (Navon & Miller, 1987). A 2
broader perspective on parallel processing, one that is also adopted here, is the one proposed 3
by resource models of information processing (Kahneman, 1973; Navon & Gopher, 1979; 4
Wickens, 1984, 2002). According to these models, the human information processing system 5
has limited processing resources that can be shared by different cognitive processes. This 6
implies that all sorts of cognitive processes can, in principle, run at the same time (i.e., ‘in 7
parallel’). However, this parallel processing may come along with interference effects due to 8
the competition for resources in addition to possible interference related to the kinds of 9
crosstalk effects mentioned above (see Schacherer & Hazeltine, 2021, for a recent discussion). 10
Another noteworthy distinction between research perspectives is how fine-grained 11
(i.e., at which ‘level’) they address the issue of parallel processing: First, parallel processing 12
can be considered on the level of specific information processing stages, and second, it can be 13
considered on the level of entire tasks. The stage level is addressed by a large set of literature 14
on basic mechanisms of multitasking in cognitive psychology (see, e.g., Koch et al., 2018; 15
Pashler, 2000). Here, the question to what extent tasks are processed in parallel is addressed 16
separately for the different processing stages from input to output with a main focus on the 17
central stage of response selection. In contrast, human factors and human performance 18
research often take a more holistic perspective on parallel processing on the task level. The 19
main question addressed by this perspective is to what extent whole tasks can be performed 20
concurrently by assessing concurrent task performance and comparing it to single-task 21
performance (see, e.g., Navon & Gopher, 1979; Norman & Bobrow, 1976; Wickens et al., 22
1981, 2013). Whether options of parallel processing on the stage level are actually used to 23
optimize concurrent performance on the task level is thus far unclear, though. In the 24
following, we will point out similarities and differences between these two perspectives of 25
parallel processing on the stage and the task level. We will also address the topic of inter-26
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