Opportunities for automating email processing : a need-finding study
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2020
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2020
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| Online Access: | https://hdl.handle.net/1721.1/128345 |
| _version_ | 1826195753171681280 |
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| author | Park, Soya. |
| author2 | David R. Karger. |
| author_facet | David R. Karger. Park, Soya. |
| author_sort | Park, Soya. |
| collection | MIT |
| description | Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2020 |
| first_indexed | 2024-09-23T10:14:54Z |
| format | Thesis |
| id | mit-1721.1/128345 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:14:54Z |
| publishDate | 2020 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1283452020-11-04T03:27:25Z Opportunities for automating email processing : a need-finding study Park, Soya. David R. Karger. 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: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2020 Cataloged from PDF version of thesis. Includes bibliographical references (pages 45-50). Email management consumes significant effort from senders and recipients. Some of this work might be automatable. We performed a mixed-methods need-finding study to learn: (i) what sort of automatic email handling users want, and (ii) what kinds of information and computation are needed to support that automation. Our investigation included a design workshop to identify categories of needs, a survey to better understand those categories, and a classification of existing email automation software to determine which needs have been addressed. Our results highlight the need for: a richer data model for rules, more ways to manage attention, leveraging internal and external email context, complex processing such as response aggregation, and affordances for senders. To further investigate our findings, we developed a platform for authoring small scripts over a user's inbox. Of the automations found in our studies, half are impossible in popular email clients, motivating new design directions. by Soya Park. S.M. S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2020-11-03T20:32:07Z 2020-11-03T20:32:07Z 2020 2020 Thesis https://hdl.handle.net/1721.1/128345 1201913182 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 50 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Park, Soya. Opportunities for automating email processing : a need-finding study |
| title | Opportunities for automating email processing : a need-finding study |
| title_full | Opportunities for automating email processing : a need-finding study |
| title_fullStr | Opportunities for automating email processing : a need-finding study |
| title_full_unstemmed | Opportunities for automating email processing : a need-finding study |
| title_short | Opportunities for automating email processing : a need-finding study |
| title_sort | opportunities for automating email processing a need finding study |
| topic | Electrical Engineering and Computer Science. |
| url | https://hdl.handle.net/1721.1/128345 |
| work_keys_str_mv | AT parksoya opportunitiesforautomatingemailprocessinganeedfindingstudy |