WEBVTT 00:00:00.111 --> 00:00:02.271 - [Colin] We have a saying in neuroscience sometimes: 00:00:02.271 --> 00:00:04.253 "Don't ask the person, ask the brain," 00:00:04.253 --> 00:00:07.606 because the brain activity may be something that's less 00:00:07.606 --> 00:00:09.256 than fully conscious. 00:00:09.678 --> 00:00:11.795 ♪ [music] ♪ 00:00:18.815 --> 00:00:22.015 My research is about behavioral economics and neuroeconomics. 00:00:22.015 --> 00:00:25.138 And behavioral economics is using ideas from psychology 00:00:25.138 --> 00:00:27.739 and other social sciences to make economics 00:00:27.739 --> 00:00:31.310 a little bit more lifelike and fit human behavior. 00:00:31.310 --> 00:00:33.761 The neuroeconomics part is that we actually try to see 00:00:33.761 --> 00:00:35.211 what's happening in the brain 00:00:35.211 --> 00:00:37.210 when people are making economic decisions. 00:00:37.210 --> 00:00:40.310 Hypothetical bias is a term for when you ask somebody 00:00:40.310 --> 00:00:43.127 whether they're going to something, but there's no actual consequences, 00:00:43.127 --> 00:00:45.042 like a lot of surveys: "Are you going to vote?" 00:00:45.042 --> 00:00:47.061 "Will you buy this new product we have?" 00:00:47.621 --> 00:00:50.397 You tend to get a kind of upward "yes" bias. 00:00:50.397 --> 00:00:52.793 People are more likely to say, "Yeah, I'd think I'd buy it," 00:00:52.793 --> 00:00:54.239 or, "Oh yeah, I'm planning to vote." 00:00:54.239 --> 00:00:56.126 The hypothetical bias can be pretty high, 00:00:56.131 --> 00:00:57.881 and it can be also retrospective. 00:00:57.881 --> 00:00:59.529 So if you ask people did they vote, 00:00:59.529 --> 00:01:02.647 70% say yes and really the answer was 45%. 00:01:03.297 --> 00:01:05.097 One application is in things like marketing. 00:01:05.097 --> 00:01:07.913 A lot of new products fail, and one reason they fail 00:01:07.913 --> 00:01:09.631 is because when they test market it, 00:01:09.631 --> 00:01:11.414 a lot of people said, "Yes, I'd buy it," 00:01:11.414 --> 00:01:12.630 who weren't going to buy it. 00:01:12.630 --> 00:01:14.247 One thing that people have been chasing 00:01:14.247 --> 00:01:16.780 in different fields in economics and psychology is 00:01:16.861 --> 00:01:20.044 how can we measure the size of this bias and adjust for it. 00:01:20.044 --> 00:01:22.862 So that if 70% of the people say they're going to buy a new product, 00:01:22.862 --> 00:01:25.683 we know that the real number is 45%. 00:01:29.619 --> 00:01:32.682 We did a couple of studies using brain imaging to say 00:01:32.742 --> 00:01:34.960 is there a kind of signature in the brain of when 00:01:34.960 --> 00:01:37.026 somebody says, "Yes, I would buy it," 00:01:37.026 --> 00:01:39.309 but when they really have to choose, they say no. 00:01:39.461 --> 00:01:41.442 So we showed them pictures of different goods, 00:01:41.442 --> 00:01:43.601 and the first part of the experiment, we asked them, 00:01:43.601 --> 00:01:46.715 "Would you pay $27 for this backpack, yes or no?" 00:01:46.715 --> 00:01:49.261 That's the hypothetical part, and then we kind of surprised them 00:01:49.261 --> 00:01:51.631 when they come out of the scanner and we say to them, 00:01:51.631 --> 00:01:54.042 "Oh by the way, now we're going to actually have you decide 00:01:54.042 --> 00:01:56.436 to spend money so we're going to give you $50." 00:01:56.436 --> 00:01:59.550 If you want to buy the backpack for $27, we're going to take it 00:01:59.550 --> 00:02:02.453 out of your 50, so that now they have to make real decisions, 00:02:02.560 --> 00:02:04.694 and then we study in the brain imaging, 00:02:04.694 --> 00:02:07.776 could we tell what areas were saying yes, 00:02:07.776 --> 00:02:11.011 but actually would later say no compared to the areas that said, 00:02:11.011 --> 00:02:14.327 "Yes, I think I'll buy it," and, yes, they really did buy it. 00:02:14.452 --> 00:02:17.658 And we found both more activity in certain regions associated 00:02:17.658 --> 00:02:20.375 with valuation and then activity in different regions, 00:02:20.375 --> 00:02:23.507 which were somewhat predictive of when a yes was going to turn 00:02:23.507 --> 00:02:25.290 into, "Well, not really." 00:02:28.667 --> 00:02:30.748 In some other studies on hypothetical bias, 00:02:30.748 --> 00:02:33.068 we used eye tracking, which is a computerized way 00:02:33.068 --> 00:02:35.401 of seeing what you're looking at for how long. 00:02:35.467 --> 00:02:37.249 It also measures pupil dilation. 00:02:37.249 --> 00:02:39.499 When you're aroused by something that you like, 00:02:39.499 --> 00:02:42.382 or possibly you're scared, the pupil dilates a little bit. 00:02:42.701 --> 00:02:44.871 So we used that method and then another method 00:02:44.871 --> 00:02:46.337 using mouse movements. 00:02:46.337 --> 00:02:48.005 And so we found that the mouse tracking 00:02:48.005 --> 00:02:50.337 and the eye tracking actually could give us an idea 00:02:50.337 --> 00:02:52.974 of when people would say, "Yes, I'm going to buy this product," 00:02:52.974 --> 00:02:55.282 but then they really didn't when they had skin in the game 00:02:55.282 --> 00:02:56.409 and had to buy it. 00:02:56.498 --> 00:03:00.283 The quicker a person moves a mouse to a box to click on something, 00:03:00.283 --> 00:03:02.040 the more they like it. 00:03:02.424 --> 00:03:04.924 It's like a fast trajectory, "I really like this." 00:03:05.190 --> 00:03:08.090 A slow meandering trajectory is, "Well, I don't know. I'm not sure." 00:03:08.090 --> 00:03:12.457 The motor activity in the mouse is actually an index in economic value 00:03:12.457 --> 00:03:15.273 as well as some other things, like indecision. 00:03:19.701 --> 00:03:21.624 We live in a kind of golden age of social science 00:03:21.650 --> 00:03:24.483 in which we can measure things in lots and lots of different ways. 00:03:24.483 --> 00:03:25.819 So one thing we've just begun 00:03:25.819 --> 00:03:28.150 that I think it's going to be really, really fun 00:03:28.181 --> 00:03:32.448 is in order to study habit and a bunch of other things. 00:03:32.448 --> 00:03:35.315 We bought a smart vending machine, and a smart vending machine 00:03:35.315 --> 00:03:37.380 is basically a vending machine in the back 00:03:37.380 --> 00:03:39.129 and a giant iPad in the front. 00:03:39.217 --> 00:03:42.285 So you could program the iPad to show whatever you want. 00:03:42.285 --> 00:03:44.850 For example, if somebody buys habitually and you raise the price 00:03:44.850 --> 00:03:47.434 by a few percent, do they just ignore that 00:03:47.434 --> 00:03:49.299 because they're not even looking at the price? 00:03:49.381 --> 00:03:52.560 Eventually, we'd like also to be able to use webcam cameras 00:03:52.628 --> 00:03:55.226 to record so when I say somebody is not looking at the price, 00:03:55.226 --> 00:03:57.537 I really mean they are not looking at the price 00:03:57.537 --> 00:03:59.903 because the camera looked at where their eyes were looking. 00:04:00.065 --> 00:04:02.398 - [Narrator] Want to see more economists in the wild? 00:04:02.398 --> 00:04:03.764 Check out our playlist. 00:04:03.764 --> 00:04:05.148 Are you a teacher? 00:04:05.148 --> 00:04:07.628 Here's some related material for your classroom. 00:04:07.868 --> 00:04:09.641 ♪ [music] ♪