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WaitSuite: Productive Use of Diverse Waiting Moments

Authors:

Robert C. MillerAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 24, Issue 1

Article No.: 7, Pages 1 - 41

https://doi.org/10.1145/3044534

Published: 22 March 2017 Publication History

Abstract

The busyness of daily life makes it difficult to find time for informal learning. Yet, learning requires significant time and effort, with repeated exposures to educational content on a recurring basis. Despite the struggle to find time, there are numerous moments in a day that are typically wasted due to waiting, such as while waiting for the elevator to arrive, wifi to connect, or an instant message to arrive. We introduce the concept of wait-learning: automatically detecting wait time and inviting people to learn while waiting. Our approach is to design seamless interactions that augment existing wait time with productive opportunities. Combining wait time with productive work opens up a new class of software systems that overcome the problem of limited time.

In this article, we establish a design space for wait-learning and explore this design space by creating WaitSuite, a suite of five different wait-learning apps that each uses a different kind of waiting. For one of these apps, we conducted a feasibility study to evaluate learning and to understand how exercises should be timed during waiting periods. Subsequently, we evaluated multiple kinds of wait-learning in a two-week field study of WaitSuite with 25 people. We present design implications for wait-learning, and a theoretical framework that describes how wait time, ease of accessing the learning task, and competing demands impact the effectiveness of wait-learning in different waiting scenarios. These findings provide insight into how wait-learning can be designed to minimize interruption to ongoing tasks and maximize engagement with learning.

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Published In

cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 24, Issue 1

February 2017

225 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/3040973

Editor:
Ken Hinckley
Microsoft Research

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Copyright © 2017 ACM.

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Publication History

Published: 22 March 2017

Accepted: 01 December 2016

Revised: 01 December 2016

Received: 01 November 2015

Published in TOCHI Volume 24, Issue 1

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https://dl.acm.org/doi/10.1145/3686995
Oewel BArean PAgapie E(2024)Approaches for tailoring between-session mental health therapy activitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642856(1-19)Online publication date: 11-May-2024
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Zheng JGao G(2024)Fragmented Moments, Balanced Choices: How Do People Make Use of Their Waiting Time?Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642608(1-14)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642608
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