research-article

Getting Users' Attention in Web Apps in Likable, Minimally Annoying Ways

Authors:

Anupriya Ankolekar,

Joshua HailpernAuthors Info & Claims

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Pages 3324 - 3334

https://doi.org/10.1145/2858036.2858174

Published: 07 May 2016 Publication History

Abstract

Web applications often need to present the user new information in the context of their current activity. Designers rely on a range of UI elements and visual techniques to present the new content to users, such as pop-ups, message icons, and marquees. Web designers need to select which technique to use depending on the centrality of the information and how quickly they need a reaction. However, designers often rely on intuition and anecdotes rather than empirical evidence to drive their decision-making as to which presentation technique to use. This work represents an attempt to quantify these presentation style decisions. We present a large (n=1505) user study that compares 15 visual attention-grabbing techniques with respect to reaction time, noticeability, annoyance, likability, and recall. We suggest glowing shadows and message icons with badges, as well as more possibilities for future work.

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Cited By

Li ZCheng YYan YLindlbauer D(2024)Predicting the Noticeability of Dynamic Virtual Elements in Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642399(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642399
He JChen C(2024)The Effects of Pop-Up Window Position and Gender Difference on the Visual Search of Mobile ApplicationsHuman-Centered Design, Operation and Evaluation of Mobile Communications10.1007/978-3-031-60487-4_18(237-247)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60487-4_18
Hueber SJang EBorchers J(2023)Attentive Notifications: Minimizing Distractions of Mobile Notifications through Gaze TrackingProceedings of the 25th International Conference on Mobile Human-Computer Interaction10.1145/3565066.3608695(1-7)Online publication date: 26-Sep-2023
https://dl.acm.org/doi/10.1145/3565066.3608695
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Index Terms

Getting Users' Attention in Web Apps in Likable, Minimally Annoying Ways
1. Human-centered computing

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cover image ACM Conferences

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

May 2016

6108 pages

ISBN:9781450333627

DOI:10.1145/2858036

General Chairs:
Jofish Kaye
Yahoo
,
Allison Druin
University of Maryland / National Park Service
,
Program Chairs:
Cliff Lampe
University of Michigan
,
Dan Morris
Microsoft
,
Juan Pablo Hourcade
University of Iowa

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Published: 07 May 2016

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CHI'16

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CHI'16: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2016

California, San Jose, USA

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CHI '16 Paper Acceptance Rate 565 of 2,435 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Li ZCheng YYan YLindlbauer D(2024)Predicting the Noticeability of Dynamic Virtual Elements in Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642399(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642399
He JChen C(2024)The Effects of Pop-Up Window Position and Gender Difference on the Visual Search of Mobile ApplicationsHuman-Centered Design, Operation and Evaluation of Mobile Communications10.1007/978-3-031-60487-4_18(237-247)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60487-4_18
Hueber SJang EBorchers J(2023)Attentive Notifications: Minimizing Distractions of Mobile Notifications through Gaze TrackingProceedings of the 25th International Conference on Mobile Human-Computer Interaction10.1145/3565066.3608695(1-7)Online publication date: 26-Sep-2023
https://dl.acm.org/doi/10.1145/3565066.3608695
Janaka NZhao SChan S(2023)NotiFade: Minimizing OHMD Notification Distractions Using FadingExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585784(1-9)Online publication date: 19-Apr-2023
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Liu XYang SWu Y(2023)Product emotional design method based on image metaphor: a technical noteJournal of Engineering Design10.1080/09544828.2023.217927634:2(180-201)Online publication date: 21-Feb-2023
https://doi.org/10.1080/09544828.2023.2179276
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Chen KChang YChan L(2022)Predicting Opportune Moments to Deliver Notifications in Virtual RealityProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517529(1-18)Online publication date: 29-Apr-2022
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Shulman YKitkowska AMeyer J(2022)Informing Users: Effects of Notification Properties and User Characteristics on Sharing AttitudesInternational Journal of Human–Computer Interaction10.1080/10447318.2022.208659239:14(2796-2824)Online publication date: 27-Jun-2022
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