Noise
>> We believe that context-aware computing is poised to fundamentally change the way we interact and relate to the devices that we use today. Through a combination of sensing and inference--and we will talked more about what that means--future devices will constantly learn about you. They'll learn your habits, the way you go through your day, they'll really learn about your life. They will understand your friends and so forth. They'll probably even now how you're feeling. You know, they will know where you are, and more importantly, they will know where you're going. They'll anticipate your needs, as we saw in the video. They will know your likes and dislikes, you know, you're--as you shop and browse and surf and what not. They will learn where you like to go on the net, and what topics interests you.
>> The prototype that we built, we use content for New York. But for today's demonstration, we were actually--have loaded the device with San Francisco content. Now, if I'm a visitor to San Francisco and let's say, I don't know a whole lot about San Francisco, but one thing that I have heard about is--I've heard this Ferry Building, and I understand the Ferry Building might be by the water front. So I would like to go there. So, Dave, how would that work?
>> Dave: Alright. Well, on this mode, we have an application that's running on top of our context framework which enables it to be context-aware. You can see we have a map that shows your current location, indicated by the red dot. What we'd like to do now is make our device believe that we're actually at the Ferry Building, and you can see that the dot has moved over to show where we are. Now, while I'm here, I would like to find a restaurant to go to dinner tonight. So I can go ahead and press search, I can look for restaurants in the future, to dinner tonight, within a half mile of where I am currently. Now, at this point, other travel apps would have me actually entered the cuisine types that I'm interested in for that--for tonight. However, since this is context-aware, it already knows what kind of cuisine I like, what style of restaurants I like, even how much usually I'm willing to spend on a night out when I'm on vacation.
>> And that can be a real type on--
>> Yes, I know that--
Simultaneous Talking
Laughter
>> Dave: But let's--in this case, let's go ahead and let the device use what it has learned about me to filter it--my restaurant choices. And it's now looking to the Fodor's database. It's come up with four restaurants that are near the Ferry Building. On these, I can go ahead and plot them on the map so I can see where they are, or I could, in fact, if I made a reservation, add them to my calendar, which would then--the system would then calculate the travel time based on where I am, update it throughout the database on traffic, and make sure to remind so I'm not late for the restaurant.
>> Now, what's important about this selection is it just isn't randomly all the restaurants that are in that area, nor is it just the restaurants that we, at Fodor's, may recommend. But these are choices tailored for you.
>> That's exactly right.
>> And that what makes it, for our standpoint, much more workable. Now, when we developed this prototype, we talked about how travelers may be indifferent modes as they go through--explore the city. They may be in mission mode. I need to get to a particular restaurant at 7 o'clock, and I don't want any other interference. But they also may be in wander mode. So if I'm in--down by the--
>> That's the way I travel. I just kinda wander around.
>> Absolutely.
>> So if I'm in a wander mode, I'm down by the Ferry Building, and I-'m--I have some couple of hours to kill, I wanna explore the neighborhood. Again, based on my preferences, what will the device do?
>> Dave: Well, when you're in a wander mode, you don't actually have specific things you wanna see. You just really want to wander around the neighborhood and maybe have the device make recommendations of places to go, things to see based on my current circumstances, what I like, and what surround me. So the context engine is constantly--well, not constantly--but in real time, generating suggestions for what surround you. And you can see the suggestion button has litten yellow, which means the system has a new set of suggestions for me. So let's press that and take a look. We're by the Ferry Building, so that's actually the closest thing to me. But I noticed down here also, the San Francisco Railway Museum is here. Now, I can go ahead and plot that on the map, and we could see that in fact, it is very close. It seem--within walking distance. And before I got down there with my device and use this, I didn't even know that was there. So I wouldn't found it without wander mode exquisitely giving me those recommendations.
Noise
==== Transcribed by Automatic Sync Technologies ====
