WaitSuite: Productive Use of Diverse Waiting Moments
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...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2017
|
| Online Access: | http://hdl.handle.net/1721.1/112331 https://orcid.org/0000-0001-9421-7128 https://orcid.org/0000-0002-0442-691X |
| _version_ | 1826214303217221632 |
|---|---|
| author | Cai, Carrie Jun Miller, Robert C Ren, Anji |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Cai, Carrie Jun Miller, Robert C Ren, Anji |
| author_sort | Cai, Carrie Jun |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T16:03:23Z |
| format | Article |
| id | mit-1721.1/112331 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:03:23Z |
| publishDate | 2017 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/1123312022-09-29T17:54:40Z WaitSuite: Productive Use of Diverse Waiting Moments Cai, Carrie Jun Miller, Robert C Ren, Anji Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Miller, Robert C. Cai, Carrie Jun Miller, Robert C Ren, Anji 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. 2017-12-01T14:37:33Z 2017-12-01T14:37:33Z 2017-03 2016-12 Article http://purl.org/eprint/type/JournalArticle 1073-0516 http://hdl.handle.net/1721.1/112331 Cai, Carrie J. et al. “WaitSuite: Productive Use of Diverse Waiting Moments.” ACM Transactions on Computer-Human Interaction 24, 1 (March 2017): 1–41 © 2017 Association for Computing Machinery (ACM) https://orcid.org/0000-0001-9421-7128 https://orcid.org/0000-0002-0442-691X en_US https://doi.org/10.1145/3044534 ACM Transactions on Computer-Human Interaction Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) Miller |
| spellingShingle | Cai, Carrie Jun Miller, Robert C Ren, Anji WaitSuite: Productive Use of Diverse Waiting Moments |
| title | WaitSuite: Productive Use of Diverse Waiting Moments |
| title_full | WaitSuite: Productive Use of Diverse Waiting Moments |
| title_fullStr | WaitSuite: Productive Use of Diverse Waiting Moments |
| title_full_unstemmed | WaitSuite: Productive Use of Diverse Waiting Moments |
| title_short | WaitSuite: Productive Use of Diverse Waiting Moments |
| title_sort | waitsuite productive use of diverse waiting moments |
| url | http://hdl.handle.net/1721.1/112331 https://orcid.org/0000-0001-9421-7128 https://orcid.org/0000-0002-0442-691X |
| work_keys_str_mv | AT caicarriejun waitsuiteproductiveuseofdiversewaitingmoments AT millerrobertc waitsuiteproductiveuseofdiversewaitingmoments AT renanji waitsuiteproductiveuseofdiversewaitingmoments |