research-article

On saliency, affect and focused attention

Authors:

Lori McCay-Peet,

Vidhya NavalpakkamAuthors Info & Claims

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 541 - 550

https://doi.org/10.1145/2207676.2207751

Published: 05 May 2012 Publication History

Abstract

We study how the visual catchiness (saliency) of relevant information impacts user engagement metrics such as focused attention and emotion (affect). Participants completed tasks in one of two conditions, where the task-relevant information either appeared salient or non-salient. Our analysis provides insights into relationships between saliency, focused attention, and affect. Participants reported more distraction in the non-salient condition, and non-salient information was slower to find than salient. Lack-of-saliency led to a negative impact on affect, while saliency maintained positive affect, suggesting its helpfulness. Participants reported that it was easier to focus in the salient condition, although there was no significant improvement in the focused attention scale rating. Finally, this study suggests user interest in the topic is a good predictor of focused attention, which in turn is a good predictor of positive affect. These results suggest that enhancing saliency of user-interested topics seems a good strategy for boosting user engagement.

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Nghiem CBousseau ASypesteyn MHoftijzer JAgrawala MTsandilas T(2024)STIVi: Turning Perspective Sketching Videos into Interactive TutorialsProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670969(1-13)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670969
Krinsky JBettis ATang QMoreira DBharati A(2024)Exploring Saliency Bias in Manipulation Detection2024 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP51287.2024.10648063(3257-3263)Online publication date: 27-Oct-2024
https://doi.org/10.1109/ICIP51287.2024.10648063
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Index Terms

On saliency, affect and focused attention
1. Human-centered computing

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Information

Published In

cover image ACM Conferences

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2012

3276 pages

ISBN:9781450310154

DOI:10.1145/2207676

General Chair:
Joseph A. Konstan
University of Minnesota
,
Program Chairs:
Ed H. Chi
Google
,
Kristina Höök
Mobile Life at KTH

Copyright © 2012 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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Published: 05 May 2012

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CHI '12: CHI Conference on Human Factors in Computing Systems

May 5 - 10, 2012

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

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Cited By

Nghiem CBousseau ASypesteyn MHoftijzer JAgrawala MTsandilas T(2024)STIVi: Turning Perspective Sketching Videos into Interactive TutorialsProceedings of the 50th Graphics Interface Conference10.1145/3670947.3670969(1-13)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3670947.3670969
Krinsky JBettis ATang QMoreira DBharati A(2024)Exploring Saliency Bias in Manipulation Detection2024 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP51287.2024.10648063(3257-3263)Online publication date: 27-Oct-2024
https://doi.org/10.1109/ICIP51287.2024.10648063
Ouvrein GVandebosch HDe Backer C(2024)Following the rich and famous A daily diary study on adolescents’ cognitive, affective, and physiological engagement with positive and negative celebrity contentCurrent Psychology10.1007/s12144-024-06437-z43:36(28919-28936)Online publication date: 27-Aug-2024
https://doi.org/10.1007/s12144-024-06437-z
Fan SShen ZJiang MKoenig BKankanhalli MZhao Q(2023)Emotional Attention: From Eye Tracking to Computational ModelingIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.316923445:2(1682-1699)Online publication date: 1-Feb-2023
https://doi.org/10.1109/TPAMI.2022.3169234
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Aldous KAn JJansen B(2022)What really matters?: characterising and predicting user engagement of news postings using multiple platforms, sentiments and topicsBehaviour & Information Technology10.1080/0144929X.2022.203079842:5(545-568)Online publication date: 7-Feb-2022
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