Mobile Advertising in Distracted Environments: Exploring the Impact of Distractions on Dual-Task Interference

It is increasingly common for consumers to engage with various tasks on their personal devices amid other distractions such as watching television at home, shopping at malls, or attending concerts. While this split in attention poses challenges, it also opens valuable opportunities for advertisers to strategically push targeted advertisements based on information about the user’s environment. Across a series of controlled lab experiments using a custom app developed for this study, we demonstrate how marketers can optimize pop-up advertising on consumers’ personal devices within distraction-filled environments. In doing so, we extend traditional insights from dual-task interference studies that have previously focused on corresponding tasks in isolation, without considering any stimuli from the environment. Our results indicate that, in the presence of additional stimuli from the environment, a facilitating relationship exists between the attention paid to a task and the effectiveness of pop-up advertisements interrupting the task. However, this relationship is moderated by the extent of attention diffusion from the environment. As the distance between the task and the environment increases, consumer attention to the task is more diffused, resulting in poorer encoding of the pop-up advertisements. Critically, optimizing the content and timing of pop-up advertisements to the environmental content can significantly improve their effectiveness. Our results have important implications for helping marketers develop actionable strategies for mobile advertising in distraction-filled environments.

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Publication Details

Journal
MIS Quarterly
Published
2025-06-09
DOI
https://doi.org/10.25300/misq/2024/17758
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
4.17
Controls
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article

Mobile Advertising in Distracted Environments: Exploring the Impact of Distractions on Dual-Task Interference

Siddharth Bhattacharya, Sunil Wattal, Vinod Venkatraman, Heather Kennedy
1 citations
MIS Quarterly
Technology Adoption and User Behaviour
4.17
article

Mobile Advertising in Distracted Environments: Exploring the Impact of Distractions on Dual-Task Interference

Siddharth Bhattacharya, Sunil Wattal, Vinod Venkatraman, Heather Kennedy
article en
1 citations

Abstract

It is increasingly common for consumers to engage with various tasks on their personal devices amid other distractions such as watching television at home, shopping at malls, or attending concerts. While this split in attention poses challenges, it also opens valuable opportunities for advertisers to strategically push targeted advertisements based on information about the user’s environment. Across a series of controlled lab experiments using a custom app developed for this study, we demonstrate how marketers can optimize pop-up advertising on consumers’ personal devices within distraction-filled environments. In doing so, we extend traditional insights from dual-task interference studies that have previously focused on corresponding tasks in isolation, without considering any stimuli from the environment. Our results indicate that, in the presence of additional stimuli from the environment, a facilitating relationship exists between the attention paid to a task and the effectiveness of pop-up advertisements interrupting the task. However, this relationship is moderated by the extent of attention diffusion from the environment. As the distance between the task and the environment increases, consumer attention to the task is more diffused, resulting in poorer encoding of the pop-up advertisements. Critically, optimizing the content and timing of pop-up advertisements to the environmental content can significantly improve their effectiveness. Our results have important implications for helping marketers develop actionable strategies for mobile advertising in distraction-filled environments.

MIS QuarterlyVol. 49(3)
University of Guelph (CA)
Reduced inequalities
Openalex Percentile: Top 6%
Technology Adoption and User Behaviour
4.17
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