Don’t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: an Exploratory Neuroimaging Study

Kalgotra, Pankush; Sharda, Ramesh; McHaney, Roger

doi:10.1007/s10796-017-9812-9

Cited by 13 publications

(7 citation statements)

References 48 publications

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“…Another study on the effect of audio interruption on reading tasks reported that task interruption led to brain activity changes in multiple regions. Frontal lobe, temporal lobe, and sub-lobar activities were most closely related to the interruption ( Kalgotra et al, 2019 ). Clapp et al (2010) have explored the effects of external interference (including distraction and task interruption) on WM based on a delayed-recognition paradigm.…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have explored features of tasks that affect post-interruption task performance, such as complexity of the primary task ( Speier et al, 2003 ) and interruption tasks ( Cades et al, 2008 ), interruption frequency ( Basoglu et al, 2009 ), and interruption timing ( Bailey and Konstan, 2006 ). A few studies have investigated the effects of person-related factors, such as age ( Monk et al, 2004 ), gender ( Kalgotra et al, 2019 ). However, no research has been found that surveyed the moderating effect of fatigue on interruption.…”

Section: Introductionmentioning

confidence: 99%

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Fatigue-Related Effects in the Process of Task Interruption on Working Memory

Chen

Fang

Guo

et al. 2021

Front. Hum. Neurosci.

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Interruption generally has a negative effect on performance by affecting working memory (WM). However, the neural mechanism of interruption has yet to be understood clearly, and previous studies have largely ignored the role of fatigue state. To address these issues, the present study explores the behavioral and electrophysiological effects of interruption on WM performance using electroencephalography (EEG) data. The moderating effect of fatigue is also explored. The participants performed spatial 2-back tasks with math task interruption, suspension interruption, and non-interruption under different fatigue states. The results show that interruption led to increased alpha activity and P300 amplitude, indicating inhibitory control to interference from irrelevant information. Analysis of P200 amplitude revealed that interruption affected attentional reallocation when resuming the primary task. Increased theta power indicated an increased demand for information maintenance during the interruption. A speeding-up effect was discovered after interruption; however, fatigue impaired cognitive ability and further exacerbated the negative effects of interruption on WM and behavioral performance. These findings contribute to a better understanding of cognitive activity during the interruption and of the interaction with fatigue, and provide further support for the theory of memory for goals (MFG).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fatigue-Related Effects in the Process of Task Interruption on Working Memory

Chen

Fang

Guo

et al. 2021

Front. Hum. Neurosci.

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“…These keywords were eye-tracking, fear appeal, functional magnetic resonance imaging (fMRI), gender differences, habituation, human-computer interaction, impact, information, information search, information systems, Internet, memory, model, movements, and neural basis. The aforementioned hotspot keywords covered research techniques, such as eye-tracking, movement, and fMRI, in addition to multiple basic research dimensions, such as fear appeal, human-computer interaction, gender differences, and habituation models ( Anderson et al, 2016c ; Vance et al, 2018 ; Bera and Poels, 2019 ; Kalgotra et al, 2019 ; Hong et al, 2021 ). Furthermore, much attention has been paid to information capture and comprehensive understanding in terms of research on information systems, information searches, and internalized memory.…”

Section: Resultsmentioning

confidence: 99%

Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis

Lin

Chen²,

Jiang³

et al. 2022

Front. Neurosci.

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Over the past decade, neuroscience has been integrated into information systems as a new methodology and perspective to study and solve related problems. Therefore, NeuroIS has emerged as a new cutting-edge research field. This review aimed to identify, summarize, and classify existing NeuroIS publications through knowledge mapping and bibliometric analysis. To effectively understand the development trend of NeuroIS, this study referred to the journal selection index of the Association of Business Schools in 2021 and journals above three stars in the field of information management as the main selection basis. A total of 99 neuroscience papers and their citation data were included from 19 major information systems journals of SCI/SSCI. This study analyzed bibliometric data from 2010 to 2021 to identify the most productive countries, universities, authors, journals, and prolific publications in NeuroIS. To this end, VOSviewer was used to visualize mapping based on co-citation, bibliographic coupling, and co-occurrence. Keywords with strong citation bursts were also identified in this study. This signifies the evolution of this research field and may reveal potential research directions in the near future. In selecting research methods and analysis tools for NeuroIS, content analysis was used to further conclude and summarize the relevant trends. Moreover, a co-citation network analysis was conducted to help understand how the papers, journals, and authors in the field were connected and related, and to identify the seminal or pioneering major literature. For researchers, network maps visualized mainstream research and provided a structural understanding of NeuroIS. The review concludes by discussing potential research topics in this field.

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“…Foehr (2006) found that girls are more likely to do media multitasking than boys. Kalgotra et al (2019) found that older males have multitasking limitations, while older females develop abilities to perform multiple tasks quicker. However, other researchers (Strayer et al , 2013; Korabik et al , 2017; Hirnstein et al , 2019; Lin et al , 2016) have conducted studies with findings that indicate no mean gender differences in multitasking ability or polychronicity.…”

Section: Conceptualization Of the Problemmentioning

confidence: 98%

The impact of individual differences on multitasking ability

Crews

Russ

2020

IJPPM

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PurposeThe study's purpose was to explore the impact of multitasking on efficiency and accuracy and the relationship between individual differences and multitasking ability.Design/methodology/approachAn experimental study was conducted with individuals that completed an in-box exercise and a personality assessment. Three groups were established as follows: those that completed the in-box exercise without interruption (control group), those that were given a portion of the same initial task but were then interrupted and given an additional task (low multitask group) and those that were given the same initial tasks, then interrupted three times (high multitask group).FindingsThe results show that there were significant effects of gender and age on multitasking efficiency. Females made fewer errors than males. Younger and older participants took more time to complete the experiment, which indicates an inverted U relationship and may mean that people become more effective at multitasking with experience and practice, but then less effective as they get older. The study also found that personality had no significant effect on multitasking efficiency.Research limitations/implicationsThe study was limited in that the sample was 91 percent female, did not include anyone over the age of 51 and did not measure intelligence or experience.Practical implicationsThe findings may have implications for employee training, evaluation and formulation of workplace standards and regulations.Orginality/valueThis study provides empirical research extending the understanding of the nature and impact of multitasking and individual differences based on gender, age and personality.

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Don’t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: an Exploratory Neuroimaging Study

Cited by 13 publications

References 48 publications

Fatigue-Related Effects in the Process of Task Interruption on Working Memory

Fatigue-Related Effects in the Process of Task Interruption on Working Memory

Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis

The impact of individual differences on multitasking ability

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