The many faces of information technology interruptions: a taxonomy and preliminary investigation of their performance effects

Addas, Shamel; Pinsonneault, Alain

doi:10.1111/isj.12064

Cited by 83 publications

(62 citation statements)

References 63 publications

(165 reference statements)

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“…Relatedly, we used a general measure of interruptions by online messages. Recently, Addas and Pinsonneault () have presented a taxonomy comprising various types of interruptions. Future studies could provide more detailed insights into the effects of interruptions when differentiating between various types of interruptions.…”

Section: Discussionmentioning

confidence: 99%

Feeling interrupted—Being responsive: How online messages relate to affect at work

Reinecke²,

et al. 2017

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Summary Being constantly connected to others via e‐mail and other online messages is increasingly typical for many employees. In this paper, we develop and test a model that specifies how interruptions by online messages relate to negative and positive affect. We hypothesize that perceived interruptions by online messages predict state negative affect via time pressure and that perceived interruptions predict state positive affect via responsiveness to these online messages and perceived task accomplishment. A daily survey study with 174 employees (a total of 811 day‐level observations) provided support for our hypotheses at the between‐person and within‐person level. In addition, perceived interruptions showed a negative direct association with perceived task accomplishment. Our study highlights the importance of being responsive to online messages and shows that addressing only the negative effects of perceived interruptions does not suffice to understand the full impact of interruptions by online messages in modern jobs.

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Section: Discussionmentioning

confidence: 99%

Feeling interrupted—Being responsive: How online messages relate to affect at work

Reinecke²,

et al. 2017

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“…Recent evidence indicates that, in particular, technology-mediated interruptions may have severe negative consequences (e.g. work exhaustion) (Addas & Pinsonneault, 2015;Chen & Karahanna, 2018;Galluch et al, 2015;Tams, Thatcher, & Grover, 2018). It follows that today we already know that digital communication devices may also have severe negative consequences (paradox of progress).…”

Section: Information Systems Usementioning

confidence: 99%

Advancing a NeuroIS research agenda with four areas of societal contributions

Brocke

Hevner

Léger

et al. 2020

European Journal of Information Systems

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On the 10th anniversary of the NeuroIS field, we reflect on accomplishments but, more importantly, on the future of the field. This commentary presents our thoughts on a future NeuroIS research agenda with the potential for high impact societal contributions. Four key areas for future information systems (IS) research are: (1) IS design, (2) IS use, (3) emotion research, and (4) neuro-adaptive systems. We reflect on the challenges of each area and provide specific research questions that serve as important directions for advancing the NeuroIS field. The research agenda supports fellow researchers in planning, conducting, publishing, and reviewing high impact studies that leverage the potential of neuroscience knowledge and tools to further information systems research. ARTICLE HISTORY

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“…In fact, interruptions that contain relevant information for the primary task may negatively affect the time to complete the task but may help with the task performance quality. Interruptions with content irrelevant to the primary task also increase completion time but lead to higher task error rates [2]. A similar approach to relevance and relation of interruptions to the primary task is presented in [6].…”

Section: Towards Theoretically-grounded Attention Management Systemsmentioning

confidence: 99%

A Survey of Attention Management Systems in Ubiquitous Computing Environments

Anderson

Hübener

Seipp

et al. 2018

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Today's information and communication devices provide always-on connectivity, instant access to an endless repository of information, and represent the most direct point of contact to almost any person in the world. Despite these advantages, devices such as smartphones or personal computers lead to the phenomenon of attention fragmentation, continuously interrupting individuals' activities and tasks with notifications. Attention management systems aim to provide active support in such scenarios, managing interruptions, for example, by postponing notifications to opportune moments for information delivery. In this article, we review attention management system research with a particular focus on ubiquitous computing environments. We first examine cognitive theories of attention and extract guidelines for practical attention management systems. Mathematical models of human attention are at the core of these systems, and in this article, we review sensing and machine learning techniques that make such models possible. We then discuss design challenges towards the implementation of such systems, and finally, we investigate future directions in this area, paving the way for new approaches and systems supporting users in their attention management.:2 • C. Anderson et al. Key takeaway points⋆ Attention is captured and steered by external and internal stimuli, while stimulus properties, such as its duration, location, intensity, etc., impact the user's reaction to the stimulus. Multimodal alert types, e.g., sound, light, vibration, and multiple device environments call for a coordinated judicious use of alerting in ubiquitous computing. ⋆ Limited cognitive capacities and threaded task processing imply that, in order to minimize disruptions, interruptions need to arrive at task boundaries or during routine tasks, should allow for task state rehearsal, and support context retrieval through hints presented to the user after an interruption. ⋆ Sensor data from ubiquitous computing devices reveals a user's location, physical activity, collocation with other people, and other information of a user's context that can be related to interruptibility. Next generation wearable devices and personalized machine learning models promise to bring us closer to direct inference of a user's cognitive processes. ATTENTION AND INTERRUPTION: DEFINITIONS AND STRATEGIESIn this section, we review definitions of the terms attention and interruption. We examine the connection between attention shifting and interruptions and discuss how interruptions can be handled through attention management systems in ubiquitous environments. What is Attention?There is no common understanding of attention in the literature. Attention is often considered as selective processing of incoming sensory information [33], with limited capacity [23] and reactive and deliberate processes [92]. Attention is also referred to as the ability to ignore irrelevant information [24]. The process of selecting stimuli can be voluntary or be steered by external events. The former ty...

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The many faces of information technology interruptions: a taxonomy and preliminary investigation of their performance effects

Cited by 83 publications

References 63 publications

Feeling interrupted—Being responsive: How online messages relate to affect at work

Feeling interrupted—Being responsive: How online messages relate to affect at work

Advancing a NeuroIS research agenda with four areas of societal contributions

A Survey of Attention Management Systems in Ubiquitous Computing Environments

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