Comments on: UX: Time to get emotional http://blog.caplin.com/2009/10/15/ux-and-roi/ Single Dealer Platforms, Industry Expertise Thu, 02 Feb 2012 04:16:03 +0000 hourly 1 http://wordpress.org/?v=3.3.1 By: Duncan http://blog.caplin.com/2009/10/15/ux-and-roi/comment-page-1/#comment-35 Duncan Mon, 19 Oct 2009 09:30:37 +0000 http://blog.caplin.com/?p=415#comment-35 Sure - at one of my previous companies we were going to by a brain scanner to understand a users actions, as per: http://www.guardian.co.uk/science/2007/feb/09/neuroscience.ethicsofscience ~ I was a bit uncomfortable with this, it opens up a whole can of ethical worms... Sure – at one of my previous companies we were going to by a brain scanner to understand a users actions, as per: http://www.guardian.co.uk/science/2007/feb/09/neuroscience.ethicsofscience ~ I was a bit uncomfortable with this, it opens up a whole can of ethical worms…

]]> By: Adam Iley http://blog.caplin.com/2009/10/15/ux-and-roi/comment-page-1/#comment-34 Adam Iley Mon, 19 Oct 2009 09:23:48 +0000 http://blog.caplin.com/?p=415#comment-34 The most difficult thing about capturing emotional response to a piece of technology is to do so dispassionately. To approach the objectivity of something like Fitts law we need a battery of measures beyond simple introspection. It's difficult to separate the emotion in most of the measures you suggest, as there are so many confounding factors, and of course you can't deliberately release a rubbish product to work as a control. I've had moderate success with Likert scales and physiological measures like galvanic skin response and heart rate, and I've been part of projects that videoed users as they used software at IBM (measuring how the user performed tasks, although there's no reason why it couldn't also be used to try to capture microexpressions) but this was with software that was deliberately trying to induce a physiological response. It'd be fun to try some of this stuff with an MRI. The most difficult thing about capturing emotional response to a piece of technology is to do so dispassionately. To approach the objectivity of something like Fitts law we need a battery of measures beyond simple introspection.

It’s difficult to separate the emotion in most of the measures you suggest, as there are so many confounding factors, and of course you can’t deliberately release a rubbish product to work as a control.

I’ve had moderate success with Likert scales and physiological measures like galvanic skin response and heart rate, and I’ve been part of projects that videoed users as they used software at IBM (measuring how the user performed tasks, although there’s no reason why it couldn’t also be used to try to capture microexpressions) but this was with software that was deliberately trying to induce a physiological response.

It’d be fun to try some of this stuff with an MRI.

]]>