Wait-learning : intelligent systems for making productive use of wait time

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.

Bibliographic Details
Main Author: Cai, Carrie Jun
Other Authors: Robert C. Miller.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/111875
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author Cai, Carrie Jun
author2 Robert C. Miller.
author_facet Robert C. Miller.
Cai, Carrie Jun
author_sort Cai, Carrie Jun
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description Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
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spelling mit-1721.1/1118752021-10-02T03:57:06Z Wait-learning : intelligent systems for making productive use of wait time Wait learning Intelligent systems for making productive use of wait time Cai, Carrie Jun Robert C. Miller. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages [243]-259). Every day, millions of people set long-term goals, such as learning a skill, developing a habit, or completing a project. Yet, in our busy, time-crunched world, most have difficulty making progress towards these goals. Despite this lack of time, there are numerous moments in a day when people wait, such as waiting for the elevator or waiting for an instant message reply. These fleeting moments could instead be used for completing short, concrete microtasks towards accomplishing long-term goals. This thesis presents novel systems and approaches that enable wait-time productivity. First, WaitChatter enables wait-learning, by automatically detecting when a user is awaiting an instant message reply, and presenting foreign language vocabulary exercises during that time. Second, WaitSuite is a suite of systems that expand wait-learning to diverse kinds of waiting scenarios. Furthermore, given a variety of microtasks, I also demonstrate how chains of microtasks can be ordered in a way that maximizes efficiency and minimizes mental workload. Finally, Deadspace Finder enables peripheral microtasks to be displayed less intrusively, by automatically detecting and placing them into unused screen space. Taken together, these systems demonstrate that wait-time productivity is both feasible and more effective than traditional reminders, making meaningful use of time we didn't know we had. by Carrie J. Cai. Ph. D. 2017-10-18T15:08:07Z 2017-10-18T15:08:07Z 2017 2017 Thesis http://hdl.handle.net/1721.1/111875 1004860654 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 259 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Cai, Carrie Jun
Wait-learning : intelligent systems for making productive use of wait time
title Wait-learning : intelligent systems for making productive use of wait time
title_full Wait-learning : intelligent systems for making productive use of wait time
title_fullStr Wait-learning : intelligent systems for making productive use of wait time
title_full_unstemmed Wait-learning : intelligent systems for making productive use of wait time
title_short Wait-learning : intelligent systems for making productive use of wait time
title_sort wait learning intelligent systems for making productive use of wait time
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/111875
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