Opportunities for automating email processing : a need-finding study

• Main Author: Park, Soya.
• Other Authors: David R. Karger.
• Format: Others
• Language: English
• Published: Massachusetts Institute of Technology 2020
• Subjects: Electrical Engineering and Computer Science.
• Online Access: https://hdl.handle.net/1721.1/128345

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