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Title: Extending the Gmail User-Interface to Leverage Prediction of Response Times and Hierarchical Recipients
Authors: Li, Danwei
Bartel, Jacob
Dewan, Prasun
Issue Date: 2018
Publisher: European Society for Socially Embedded Technologies (EUSSET)
metadata.dc.relation.ispartof: Proceedings of 16th European Conference on Computer-Supported Cooperative Work - Panels, Posters and Demos
Series/Report no.: Reports of the European Society for Socially Embedded Technologies: vol. 2, no. 2
Abstract: Recent work has shown how the Gmail user-interface can be extended to make use of algorithms for predicting a flat list of email recipients. We build on this work by addressing how this user-interface be extended to make use of external algorithms for predicting (a) a hierarchical list of email recipients, and (b) the expected time to get a response from a recipient. We have augmented the existing view for sending messages to allow users to view predictions of response times and hierarchical recipients, and use one click to select a subgroup of predicted recipients. We have also added new folder- specific commands to the views for browsing folders that allow users to use one click to highlight, un-highlight, and select messages whose responses have not arrived or been sent within the predicted times. We have also developed a new configuration view for determining which predictions should be displayed and how often new training data should be used to change the prediction model. The user-interface is implemented as a Chrome extension that communicates with an external server to receive predictions and send training data. This architecture decouples the implementation of the user-interface and algorithms. However, our extension is intimately tied to the extended user-interface, as it reads and augments existing views and menus of Gmail.
metadata.dc.identifier.doi: 10.18420/ecscw2018_p3
ISSN: 2510-2591
metadata.mci.conference.sessiontitle: Poster
metadata.mci.conference.location: Nancy, France 4-8 June 2018
Appears in Collections:ECSCW 2018 Panels, Demos and Posters

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