5 Ways to Simplify Mobile Reviews

You can never have too much data – especially when it comes to local reviews.  So for developers of local, mobile applications its worth looking for ways to simplify the process of capturing reviews.

So, here’s a list of 5 ways mobile application developers can simplify how a user identifies the business they want to review.  Here’s the scenario I’ll explore: I’ve just had a meal at a restaurant and want to quickly identify the business and give it a review.

1. Use a photograph of the menu

Take a picture of the menu and use software to automatically recognize the restaurant based on the picture.  The SnapTell iPhone application which provides ‘visual product search’ is a good example of this principle in action.   Now, just take that technology and apply it to local reviews.

Also uses: geo-location (GPS, cell-towers, wi-fi) as a hint to the image processor.

The challenge: photographing and tagging all those menus.  The crowds can help you out on this.  Restaurant owners might even be motivated.

2. Use a photograph of a code on the menu

Take a picture of a special code (likely a 2 dimensional bar code) somewhere on the menu.  Probably much more reliable.   You also get to engage the restaurant owner as an active participant in the process.  Google recently issued a patent on this idea.

Also uses: probably doesn’t need much help, a 2-D bar code would probably be reliable by itself.  That’s an advantage.

The challenge: getting restaurant owners to re-print their menus with 2 dimensional bar-codes.

3.  Use the restaurant’s wi-fi or blue-tooth signature

The restaurant could be identified by it’s wi-fi or blue-tooth signature.  You could even have the restaurant owner install a device explicitly for the purpose of being identified.

When the user opens the review application, you automatically present them with the restaurant based on the detected signature.  In a dense urban area, you might present them with a few different options on the screen.

Also uses: presents options to the user and gets confirmation/feedback from them.

The challenge: tagging all those signatures.  But others might be doing that anyway.  This might just become part of the general ‘geo-location’ infra-structure.

4.  Use location assisted auto-complete

The review app could use location-assisted auto-complete to quickly pick the restaurant to review.  Location is determined using GPS, cell-tower location, wi-fi or bluetooth signatures.  The user starts typing name of the restaurant and it auto-completes based on knowledge of place.  In most cases, the user will only have to type a few characters.

Also uses: The keyboard for input and a variety of geo-location technologies.

The challenge: geo-location information sometimes isn’t very accurate, so you need to make sure the auto-completion algorithm casts a wide enough net.  You also need geo-references for all the businesses.  But this one feels ready to implement now.

5.  Use augmented reality

Point your video camera at the outside (or possibly the inside) of the restaurant – see the name of the restaurant on the screen – pick it and enter your review.  Augmented reality is a hot-topic right now.  This one has sizzle, but I’m not sure it’s as practical as some of the other approaches.

Also uses: depends on accurate geo-location and a compass.

The challenge: accurate geo-location and tagged photographs of all those places.

More Reading

All of these suggestions are made possible by exploiting the array of new sensors available on mobile phones – which, as I’ve written previously, is turning them in to the Remote Control for Our Lives.

Recently, Tim O’Reilly has been promoting the idea of Web Squared – the evolution of Web 2.0 made possible (in part) by the sensors in phones.  These five suggestions are  an application of these principles to local reviews.

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