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