poster

Mitigating the Effects of Reading Interruptions by Providing Reviews and Previews

Authors:

Namrata Srivastava,

Jennifer Healey,

Zoya Bylinskii,

Tilman DinglerAuthors Info & Claims

CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 229, Pages 1 - 6

https://doi.org/10.1145/3411763.3451610

Published: 08 May 2021 Publication History

Abstract

As reading on mobile devices is becoming more ubiquitous, content is consumed in shorter intervals and is punctuated by frequent interruptions. In this work, we explore the best way to mitigate the effects of reading interruptions on longer text passages. Our hypothesis is that short summaries of either previously read content (reviews) or upcoming content (previews) will help the reader re-engage with the reading task. Our target use case is for students who study using electronic textbooks and who are frequently mobile. We present a series of pilot studies that examine the benefits of different types of summaries and their locations, with respect to variations in text content and participant cohorts. We find that users prefer reviews after an interruption, but that previews shown after interruptions have a larger positive influence on comprehension. Our work is a first step towards smart reading applications that proactively provide text summaries to mitigate interruptions on the go.

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Cited By

Cai TNiklaus AKerr BKraley MBylinskii Z(2024)COR Themes for Readability from Iterative FeedbackProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642108(1-23)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642108
Lingler ATalypova DJokinen JOulasvirta AWintersberger P(2024)Supporting Task Switching with Reinforcement LearningProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642063(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642063
Talypova DLingler AWintersberger P(2023)User-Centered Investigation of Features for Attention Management Systems in an Online Vignette StudyProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627766(108-121)Online publication date: 3-Dec-2023
https://dl.acm.org/doi/10.1145/3626705.3627766
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Published In

cover image ACM Conferences

CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

2965 pages

ISBN:9781450380959

DOI:10.1145/3411763

Editors:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
,
Katherine Isbister
University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan

Copyright © 2021 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 the author(s) 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: 08 May 2021

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CHI '21: CHI Conference on Human Factors in Computing Systems

May 8 - 13, 2021

Yokohama, Japan

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

Cai TNiklaus AKerr BKraley MBylinskii Z(2024)COR Themes for Readability from Iterative FeedbackProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642108(1-23)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642108
Lingler ATalypova DJokinen JOulasvirta AWintersberger P(2024)Supporting Task Switching with Reinforcement LearningProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642063(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642063
Talypova DLingler AWintersberger P(2023)User-Centered Investigation of Features for Attention Management Systems in an Online Vignette StudyProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627766(108-121)Online publication date: 3-Dec-2023
https://dl.acm.org/doi/10.1145/3626705.3627766
Lingler ATalypova DDraxler FSchneegass CDingler TWintersberger P(2023)MuM'23 Workshop on Interruptions and Attention ManagementProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3626706(548-551)Online publication date: 3-Dec-2023
https://dl.acm.org/doi/10.1145/3626705.3626706
Cai TWallace SRezvanian TDobres JKerr BBerlow SHuang JSawyer BBylinskii Z(2022)Personalized Font Recommendations: Combining ML and Typographic Guidelines to Optimize ReadabilityProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533457(1-25)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3532106.3533457
Wallace SBylinskii ZDobres JKerr BBerlow STreitman RKumawat NArpin KMiller DHuang JSawyer B(2022)Towards Individuated Reading Experiences: Different Fonts Increase Reading Speed for Different IndividualsACM Transactions on Computer-Human Interaction10.1145/350222229:4(1-56)Online publication date: 31-Mar-2022
https://dl.acm.org/doi/10.1145/3502222

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