In my project for SWELL I am working on technology to understand what the knowledge worker is doing when he is working at his computer. This information can be used to make supporting technology more intelligent. I focus on four ways to do this:
I use this information to automatically retrieve documents that may help the user in executing his current tasks.
I use this information to prevent notifications of e-mail messages that may distract the user from his tasks, while highlighting notifications that are too important to ignore, or that might be helpful for the user's tasks.
I use this information to determine a good time to give the user feedback on his well-being and tips to improve it. A good time for feedback is a time that does not disturb the user, and a time at which the user is likely to do the tip
I use this information to give the user insight in how he spends his time.
I use this information to categorize e-mails and documents in a meaningful way such that the user can easily find them
The overall goal is to make the knowledge worker more happy, by making his work a little bit easier.
Information recommendation (suggestion of information that can be useful for your current task)
Intelligent notification filtering (show only the relevant or very urgent notifications)
Context switch detection (when are you starting something new?)
Context identification (what are you working on?)
Personal information management (categorization of emails and documents)
About Maya Sappelli
Maya has a masters in Artificial Intelligence, and a bachelor degree in Linguistics from the university of Nijmegen. In my master I've focused on human-computer interaction and language & speech technology. I enjoy working on intelligent programs that can assist people in their daily life. I have worked on several recommendation systems, including food recommendation and touristic activity recommendation. My phd work is focused on context-aware information recommendation.