6 Comments

Summary:

A new app called Saga hit the App Store promising to be a personal assistant that knows what users are up to even if they don’t. It wants to tell users where they’ve been, where they’ll go next and how long it will take to get there.

SAGA_suggestions copy

A new personal assistant app called Saga makes its way into the iOS App Store on Tuesday, and it wants to get to know users better than they know themselves. Like the recently unveiled Google Now, Saga tries to take the Siri concept a step further by proactively telling users what they need to know when they need to know it. Doing this requires lots of data and algorithms capable of learning what users are really up to when they’re out and about.

Andy Hickl, co-founder and CEO of Seattle-based A.R.O., the startup that built Saga, doesn’t see the app as a Siri replacement as much as a “chatty little brother or sister, or sidekick” that makes suggestions you might come up with on your own if you had the time. Assuming users grant it permission to track their location, Saga will know where they are, how long they’re likely to stay and how long it will take to get home if they leave now. Near lunchtime, it will suggest good places to eat based on the places users (or maybe their friends) frequent. It will tell users how far they’ve traveled recently and breakdown where they’ve spent the most time.

In some ways, Hickl said, Saga is a “quantitied self play for the things you do and places you go on a regular basis.”

Gotta train that model

What any good quantified selfer (or data scientist like Hickl, who also founded answer engine Swingly) knows, however, is that increased accuracy often goes hand in hand with more data. Saga is no exception, provided it’s good data to start with. That’s why initially, Hickl explained, apps like Saga require a “burn-in” period to teach them who you are.

Especially in dense urban areas, it can be difficult for an app to determine whether you’re at a coffee shop, the Italian restaurant across the street or in your apartment six floors above it. (Here’s how another Seattle startup, Placed, is able to pinpoint users’ locations.) If that restaurant is one of the most popular in the city, Hickl said, Saga likely will initially assume that’s where you are. Usually, though, after about 48 to 72 hours of feedback in the form of you telling the app where you really are, it’s able to learn your routine and make more-accurate predictions.

Another thing that apps like Saga need time to learn is how to gauge users’ intentions. “We don’t have sensor data that lets [Saga] know whether I’m buying beer or buying Benadryl,” Hickl said.

What he means is that if someone’s at Walgreen’s at 11 p.m., he could just as easily be buying a 40-ounce bottle of Miller High Life on his way to a party as he could be buying a box of cold medicine for a sick wife. Saga will instinctively flag suggestions based on both possibilities, but knowing that someone rarely leaves the house past 9 p.m. on weeknights — especially to go to bars or clubs — will skew the model toward the latter choice.

Always more useful

In the future, Hickl said, Saga hopes to become even smarter by becoming a platform for other apps with unique user data, and by bringing in friends’ data to offer more-curated suggestions. He also wants to figure out a way to get Saga off of just mobile phones and onto new devices such as wearable displays. Inventions such as Google Glasses can’t just be a new way of finding out the weather or checking email.

Essentially, though, it’s just about making that app smarter and more useful and then going with the technological flow. A.R.O. has a lot of good ideas for Saga, Hicki said, “[but we] recognize a lot of our good ideas are 2012-era thinking and could be laughable in a few years.”

A.R.O. also has to figure out a way to make Saga stand out against what will certainly be an onslaught of similar apps, including the aforementioned Google Now that will likely find its way natively onto million of Android phones over the next couple years. Saga’s privacy-by-design features (it has mechanisms “to nuke [your data] from orbit,” Hickl said) and A.R.O.’s refusal to sell user data might help — especially against privacy scapegoat Google (Saga is coming to Android at some point) — but making use of location data is the new black for mobile developers. This saga is far from over.

  1. Robert Scoble Tuesday, July 31, 2012

    Here’s a demo of Saga, along with a very in-depth interview with Hickl: http://scobleizer.com/2012/07/31/saga-the-contextual-app-that-shows-us-what-google-glasses-could-do-albeit-today/

    Share
  2. I understand they are really putting a lot of effort into this but for me the basic premise is flawed: I don’t want a device ‘anticipating’ my next move anymore than I wanted those stupid pop-up prompt you used to get in Office (It looks like you’re creating a document, can I help you?).
    Asking for information is a very different thing than being told things you were not necessarily thinking about.

    Share
    1. Hey Martin,

      I know what you mean, but it could possibly come up with a few good ideas that you didn’t think of perhaps. Also I think the basic idea here is context, you still make the final decisions right.

      Share
      1. Derrick Harris Tuesday, July 31, 2012

        Yeah, it’s about suggestions not commands. And when something like this gets to know your routine, it can more accurately make predictions about commute times, etc.

        Share
      2. The Office pop-up “It looks like you’re creating a document, can I help you?” was only a suggestion, but that didn’t stop it from being really annoying.

        Share
  3. Brian Bartlett Thursday, August 2, 2012

    Actually they’re approaching something I’ve had in mind for years. Picture a near-autonomous personal-assistant/concierge that knows your patterns and personal tastes. It would handle the multiple details that can be a pain in the ass to do yourself. E.g. calender an appointment in San Francisco, it arranges flight, rental car, hotel stay, gives you suggested eateries you favor and/or take clients to, and so forth. If you are in a cell-free/degraded zone, it can gather your mail, hold instant messaging, co-ordinate with other autonomous agents, just like a PA, again and so forth. Actually I had a rather long list. The difference between seventeen years ago and now, is that the behavioral analysis (database and agents) would be hosted in a data-center in my idea. No choice really. I’ve tinkered with the idea back and forth but never found the urge to make it real. I do have a ton of experience in predictive analytics, statistics and various (computer, et. al.) engineering disciplines, it was the user end that wouldn’t work as carting around a laptop was, I thought, prohibitive and phones were basically too stupid. My how times have changed.

    As for the privacy aspect, I see they already have the ‘nuke from orbit’. Encryption everywhere might be desirable. [Personally, I have no privacy. The government literally knows me back to the womb, courtesy of FBI background checks, so why worry about corps?] Obviously we are reaching an ‘inflection point’ around the marriage of search, predictive and speech analysis on a phone/tablet, it now has a shot.

    I wish them luck with this. Creep factor will be an issue with many older users but don’t be surprised if the ‘senior set’ take to it like a duck to water. They’ve surprised me many a time when I was teaching in their computer labs at senior complexes and their homes. [I'm in demand since I don't patronize them.] The Hip Users simply won’t care. Be interesting to see if Flash-Mob Dining & Drinks start happening courtesy of our our assistants especially if discounts could be tied in.

    Just a few thoughts. [And no, I don't care who does this. It's time we started taking advantage of our augmented intelligences: tablets and phones.]

    Share

Comments have been disabled for this post