Hungry…? Try Foodspotting.

Find great food around you.

A quick glance through Facebook photos within your network and food pictures are bound to show up on almost every profile. Sharing of food images is not new, but when you overlay a social layer coupled with a recommendation engine… you get Foodspotting!!

Foodspotting is a location-based crowd-sourced food recommendation app that sorts the best dishes in your vicinity based on actual photos shared by visitors to those locations. All that one has to do is snap a photo of a share-worthy dish at a restaurant with the application, tag and share it on Foodspotting or via Twitter, Facebook, Foursquare, etc. So, if you’re famished and would like to grab a bite that has earned its stripes, merits consideration, and is also nearby, simply open the app and browse actual photos. Food spotting is different from other restaurant apps in that it is probably one of the only mobile apps out there that’s focussed on food discovery (not restaurants) and recommendations unlike Yelp, Urbanspoon, and Zagat .

Being able to find directions to a restaurant and read its reviews is helpful, but it’s not fun when you have to sift through them all to know what’s most recommended. The truth is that ‘people really eat with their eyes’ and that’s what makes browsing the Foodspotting interface a pleasurable experience. On opening the app, picture after picture stokes up your appetite while reminding you that some mouth-watering Veal Saltimbocca is just minutes away from you. If you so desire, you can switch to map view and spot all the dishes tagged around you or you can search for a specific item you might have in mind. If a recommendation that matches your search is tagged it should show up (I say ‘should’ because I tried searching for ‘Beefsteaks’ and the closest place featured was somewhere in LA… a little too far to make it worth the effort…right?).

The UI is simple and intuitive. It has what the company terms a “Pandora-like interface” which lets browsers tag dishes as ‘want it’, ‘loved it’, and ‘tried it’. Or, if you choose to not see a particular dish in your listing you can even ‘hide it’.  Categories listed as ‘Specials’, ‘Best’, ‘Nearby’, and ‘Latest’ feature the tagged dishes to select from and it seems like the company consciously chose to avoid cuisine based categorization which can sometimes make the navigation feel clunky.

So far the app has over 1 million downloads and is going strong. I’d give it a thumbs up and am choosing to ignore the ‘Beefsteaks’ incident for now.

Siri – ously Speaking at Mobile UX Camp 2012

Mobile UX Camp 2012

Refusing to be seduced by a golden Sun kissed day and a bustling University Street Fair a stone’s throw away, over 100 professionals, academics & enthusiasts spent their Saturday in discussion on mobile UX topics such as Gestures v/s button; Siri User Research; Fixing small group communication; Strategies for going mobile; Why music apps suck; Winning a date with Windows 8; Crowdsourced UX to heal kidney disease….and these were just a handful among 23 presentations made at the Seattle Mobile UX Camp 2012 ‘Unconference’ held yesterday at the Information School –UW (that’s right… it was right in our backyard….at Mary Gates Hall).

I hoped to attend more than just the four sessions I was finally able to, but the one that stood out for me; also the first one of the day was by Nika Smith – User experience researcher at Blink interactive titled: ‘A Siri-es of unfortunate events – User Research on the first month of Siri ‘

As part of a longitudinal study tracking usage behavior among 11 brand new iPhone 4S users, she recounted their emotional response to Siri (one of the top features they were excited about and couldn’t wait to try) as they tread through three broad stages of Siri exploration – a journey that began from optimistic curiosity fueled by excitement, preconceived notions, and heightened expectation brought about by the media buzz and television commercials slowly veered towards frustrated exploration and eventually rested at acceptance and reconciliation.

It was interesting to learn how participants engaged with the shiny new feature and their resultant emotional states which in Siri’s case fluctuated between wonder, ecstasy, self-doubt, despair, learned helplessness, and hilarity.

The relationship with Siri began as a fun engagement and although it misunderstood queries 50% of the time, participants expected that over time the results would improve as Siri gets to know them better by retaining details of their wants and preferences. Some even thought of it as a friend – someone they could talk to non-stop – referring to the feature as ‘she’ rather than ‘it’.

As days went by a few figured out what it was good at (directions, maps, and basic simple commands). Some did not give up attempts to get it to work on their terms; they expressed that they ‘yet need to learn’ how to effectively use the application, while those more emotionally connected went to the extent of berating themselves for not being able to get Siri to understand them.

Assessing these failure states, Smith noted that Siri did not do a very good job at error recovery to assuage these frustrations. For instance, if instructed to open ‘my notes’, and Siri knows that there is an application called ‘Notes’ Siri won’t offer an alternative that says “I cannot open ‘notes’ but I can open ‘a’ note”. For the music app Pandora; Siri would open the stock price of Pandora which got some participants to realize that apps – even native ones – that did not originally come with the phone could not be opened nor could it search a schedule of an event that was not already logged in your calendar.

As they moved closer towards reconciliation and acceptance, participants acknowledged that even though Siri was cool and fun; the system was broken. They also feared that inaccuracies in the application could have them being caught in an embarrassing situation if Siri misunderstood them (For e.g. erroneously calling an ex) and public use of Siri was probably avoidable because it understands commands only when they are simple, unidirectional, require no follow-up and stated precisely – almost unnaturally – making private use a much better idea. Besides having a robust location intelligence as well as integration with maps and calendar, it also worked well for informal emails and messages as Siri does not recognize alphabet case and punctuation.

The Q&A ensued further discussion on the perils of ‘over-expectation’ induced via marketing and how design and interaction embedded into a consumer application or technology ought to strive harder at ensuring that applications and technology should make the user ‘feel smart’ rather than ‘stupid’ as they navigate a system. While voice has not been perfected as yet, I think that this study overall speaks to the ‘degree of intelligence’ and user-friendliness that users have come to expect from consumer technology-based applications and with a growing beta release culture in this area bears particular attention.