Doing and Feeling: Relationships Between Moods, Productivity and Task-Switching

Alibasa, Muhammad Johan; Purwanto, Rizka; Yacef, Kalina; Glozier, Nick; Calvo, Rafael A.

doi:10.1109/taffc.2020.3029440

Cited by 3 publications

(3 citation statements)

References 58 publications

(63 reference statements)

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“…In recent years, researchers have found a strong connection between frequent task switching and negative emotions 9 . For example, in the process of software development, task-switching distracts the developers and shifts the developers' attention, requiring additional immersion time to focus 10 .…”

Section: Backgroundsmentioning

confidence: 99%

Assessing cognitive mental workloads of assembly workers during multi-task switching

Ren

Zhou

Chen

2023

Preprint

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Complex assembly tasks with multiple manual operations and steps often require rapid judgment and action under time pressure and cause most human-related errors. The task switching and action transitions are major sources of these errors. This study intends to implement an electroencephalography (EEG) approach to quantitatively evaluate the mental workload during task switching and transition. The time-frequency and spectrum analysis were utilized to compute and reflect the task demand between the intervals of individual tasks. This study developed an experiment to validate the proposed assessment approach and benchmark the results with the National Aeronautics and Space Administration task load index (NASA-TLX) subjective evaluation scale analysis. The results show that the average value of the power spectral densities (PSDs) of the gamma band signal of the AF4 channel and the beta band signal of Channel F3 show distinctive signal patterns among task stages and intervals. During the interval between the idling stage and the part selection stage, the peak of the PSD envelope increased from 18Hz to 27Hz, suggesting advanced cognition increases the mental workload of the interval between different tasks. Therefore, the task switching period cannot be regarded as rest and need to be optimized with better task organization.

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Section: Backgroundsmentioning

confidence: 99%

Assessing cognitive mental workloads of assembly workers during multi-task switching

Ren

Zhou

Chen

2023

Preprint

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“…Studies with interventions such as diary writing, focus groups, interviews, and questionnaire were mainly theoretical and had the goal of understanding relationships between multiple variables within HCI and different technologies. For example, the authors in [121] studied the mobile usage and its impact on users' emotions, similarly, [116] explored the relationships between users' moods and life-style with task switching online and productivity using Mindgauge and RescueTime which are free mobile applications available online. The authors in [70] studied social networking site (SNS) features and their impact on procrastination habits, and the team in [72] studied the relationship between personal and cultural traits on the acceptance and rejection of joining online peer support groups for combating digital addiction.…”

Section: Other Interventionsmentioning

confidence: 99%

Designing for Digital Wellbeing: From Theory to Practice a Scoping Review

Mansoori

Al-Thani

Ali

2023

Human Behavior and Emerging Technologies

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In a world that is highly dependent on digital connectivity, technology use is becoming unavoidable, intense, and possibly harmful. The pervasiveness of technology which has been in tandem with the increasing number of reported cases of harmful usage styles, with some exhibiting symptoms of behavioural addiction, raised concerns around users’ psychological health and well-being. Digital Wellbeing is a new facet of human well-being that has recently emerged. While the term is yet to have a commonly agreed definition, it typically denotes a technology that promotes positivity, personal growth, and a usage that is balanced and healthy. In this paper, we aim to examine the extent, range, and nature of Digital Wellbeing research activity in human-computer interaction- (HCI-) related literature. We conducted a scoping review analysing 87 articles that researched Digital Wellbeing and its interrelation with technology design. Our analysis identified different meanings and constructs of the Digital Wellbeing concept, research trends, and a gap related to incorporating it in the design process. Accordingly, we recommend that an agreed-on definition for Digital Wellbeing and validated tools and frameworks are needed to ensure its integration in the digital design process. We also recommend that a wider research direction for HCI researchers and practitioners interested in Digital Wellbeing is needed to include the role of designers and societal institutions in the digital design process to ensure a design that is inclusive and well-being sensitive.

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“…The results showed that the correlation between switching ability and subsequent operation time was only found when there was a high workload in both tasks. In recent years, researchers have also found a strong connection between frequent task switching and negative emotions 11 . For example, Shan et al explored the rationale for the effects on mental workload and performance after task interruptions.…”

Section: Backgroundsmentioning

confidence: 99%

Assessing cognitive workloads of assembly workers during multi-task switching

Ren,

Zhou,

Chen

2023

Sci Rep

View full text Add to dashboard Cite

Complex assembly tasks with multiple manual operations and steps often require rapid judgment and action under time pressure and cause most human-related errors. The task switching and action transitions are major sources of these errors. This study intends to implement an electroencephalography (EEG) approach to quantitatively evaluate the mental workload during task switching and transition. The time–frequency and spectrum analysis were utilized to compute and reflect the task demand between the intervals of individual tasks. This study developed an experiment to validate the proposed assessment approach and benchmark the results with the National Aeronautics and Space Administration task load index (NASA-TLX) subjective evaluation scale analysis. The results show that the average value of the power spectral densities (PSDs) of the gamma band signal of the AF4 channel and the beta band signal of Channel F3 show distinctive signal patterns among task stages and intervals. During the interval between the idling stage and the part selection stage, the peak of the PSD envelope increased from 18 to 27 Hz, suggesting advanced cognition increases the mental workload of the interval between different tasks. Therefore, the task switching period cannot be regarded as rest and need to be optimized with better task organization.

show abstract

Doing and Feeling: Relationships Between Moods, Productivity and Task-Switching

Cited by 3 publications

References 58 publications

Assessing cognitive mental workloads of assembly workers during multi-task switching

Assessing cognitive mental workloads of assembly workers during multi-task switching

Designing for Digital Wellbeing: From Theory to Practice a Scoping Review

Assessing cognitive workloads of assembly workers during multi-task switching

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