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Towards the Next Generation of Personal Assistants: Systems that Know When You Forget

Published:01 October 2017Publication History

ABSTRACT

Recently a new class of personal assistants that are capable of addressing users' information needs proactively is emerging.

Users' information needs may include timely notifications about a certain context such as location, social interactions with other people, weather, other events, etc. Personal assistants can assist people by recommending the right information at just the right time and help them in accomplishing tasks. Because of the ubiquitous nature of mobile personal assistants, they have a broad range of potential capabilities. One of these potential capabilities is to carry out sophisticated tasks for supporting failing memories. Such support of human memory has been thus far limited, merely to setting reminders and calendar events.

In this paper, we present our work on developing a cutting-edge personal assistant for supporting failing memories in every day social interactions. Specifically, we envision a personal assistant that can anticipate the parts of a past conversation that you are likely to forget, hence remind you about them. Our experimental results on a real-world dataset of meetings reveals evidence that developing such systems is viable and can produce promising results.

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        cover image ACM Conferences
        ICTIR '17: Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval
        October 2017
        348 pages
        ISBN:9781450344906
        DOI:10.1145/3121050

        Copyright © 2017 ACM

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        Publication History

        • Published: 1 October 2017

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        ICTIR '17 Paper Acceptance Rate27of54submissions,50%Overall Acceptance Rate209of482submissions,43%

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