0:00:00.111,0:00:02.271 - [Colin] We have a saying [br]in neuroscience sometimes: 0:00:02.271,0:00:04.253 "Don't ask the person,[br]ask the brain," 0:00:04.253,0:00:07.606 because the brain activity[br]may be something that's less 0:00:07.606,0:00:09.256 than fully conscious. 0:00:09.678,0:00:11.795 ♪ [music] ♪ 0:00:18.815,0:00:22.015 My research is about behavioral [br]economics and neuroeconomics. 0:00:22.015,0:00:25.138 And behavioral economics is using [br]ideas from psychology 0:00:25.138,0:00:27.739 and other social sciences[br]to make economics 0:00:27.739,0:00:31.310 a little bit more lifelike [br]and fit human behavior. 0:00:31.310,0:00:33.761 The neuroeconomics part [br]is that we actually try to see 0:00:33.761,0:00:35.211 what's happening in the brain 0:00:35.211,0:00:37.210 when people are making [br]economic decisions. 0:00:37.210,0:00:40.310 Hypothetical bias is a term [br]for when you ask somebody 0:00:40.310,0:00:43.127 whether they're going to something,[br]but there's no actual consequences, 0:00:43.127,0:00:45.042 like a lot of surveys:[br]"Are you going to vote?" 0:00:45.042,0:00:47.061 "Will you buy [br]this new product we have?" 0:00:47.621,0:00:50.397 You tend to get a kind [br]of upward "yes" bias. 0:00:50.397,0:00:52.793 People are more likely to say,[br]"Yeah, I'd think I'd buy it," 0:00:52.793,0:00:54.239 or, "Oh yeah, I'm planning to vote." 0:00:54.239,0:00:56.126 The hypothetical bias can [br]be pretty high, 0:00:56.131,0:00:57.881 and it can be also retrospective. 0:00:57.881,0:00:59.529 So if you ask people did they vote, 0:00:59.529,0:01:02.647 70% say yes and really [br]the answer was 45%. 0:01:03.297,0:01:05.097 One application is [br]in things like marketing. 0:01:05.097,0:01:07.913 A lot of new products fail,[br]and one reason they fail 0:01:07.913,0:01:09.631 is because when [br]they test market it, 0:01:09.631,0:01:11.414 a lot of people said, [br]"Yes, I'd buy it," 0:01:11.414,0:01:12.630 who weren't going to buy it. 0:01:12.630,0:01:14.247 One thing that people [br]have been chasing 0:01:14.247,0:01:16.780 in different fields in economics[br]and psychology is 0:01:16.861,0:01:20.044 how can we measure the size [br]of this bias and adjust for it. 0:01:20.044,0:01:22.862 So that if 70% of the people say[br]they're going to buy a new product, 0:01:22.862,0:01:25.683 we know that [br]the real number is 45%. 0:01:29.619,0:01:32.682 We did a couple of studies using[br]brain imaging to say 0:01:32.742,0:01:34.960 is there a kind of signature [br]in the brain of when 0:01:34.960,0:01:37.026 somebody says, [br]"Yes, I would buy it," 0:01:37.026,0:01:39.309 but when they really have [br]to choose, they say no. 0:01:39.461,0:01:41.442 So we showed them pictures[br]of different goods, 0:01:41.442,0:01:43.601 and the first part [br]of the experiment, we asked them, 0:01:43.601,0:01:46.715 "Would you pay $27 [br]for this backpack, yes or no?" 0:01:46.715,0:01:49.261 That's the hypothetical part,[br]and then we kind of surprised them 0:01:49.261,0:01:51.631 when they come out of the scanner[br]and we say to them, 0:01:51.631,0:01:54.042 "Oh by the way, now we're going [br]to actually have you decide 0:01:54.042,0:01:56.436 to spend money [br]so we're going to give you $50." 0:01:56.436,0:01:59.550 If you want to buy the backpack[br]for $27, we're going to take it 0:01:59.550,0:02:02.453 out of your 50, so that now[br]they have to make real decisions, 0:02:02.560,0:02:04.694 and then we study [br]in the brain imaging, 0:02:04.694,0:02:07.776 could we tell what areas [br]were saying yes, 0:02:07.776,0:02:11.011 but actually would later say no[br]compared to the areas that said, 0:02:11.011,0:02:14.327 "Yes, I think I'll buy it,"[br]and, yes, they really did buy it. 0:02:14.452,0:02:17.658 And we found both more activity[br]in certain regions associated 0:02:17.658,0:02:20.375 with valuation and then activity [br]in different regions, 0:02:20.375,0:02:23.507 which were somewhat predictive[br]of when a yes was going to turn 0:02:23.507,0:02:25.290 into, "Well, not really." 0:02:28.667,0:02:30.748 In some other studies [br]on hypothetical bias, 0:02:30.748,0:02:33.068 we used eye tracking, [br]which is a computerized way 0:02:33.068,0:02:35.401 of seeing what you're looking at[br]for how long. 0:02:35.467,0:02:37.249 It also measures pupil dilation. 0:02:37.249,0:02:39.499 When you're aroused [br]by something that you like, 0:02:39.499,0:02:42.382 or possibly you're scared,[br]the pupil dilates a little bit. 0:02:42.701,0:02:44.871 So we used that method[br]and then another method 0:02:44.871,0:02:46.337 using mouse movements. 0:02:46.337,0:02:48.005 And so we found [br]that the mouse tracking 0:02:48.005,0:02:50.337 and the eye tracking[br]actually could give us an idea 0:02:50.337,0:02:52.974 of when people would say, "Yes, [br]I'm going to buy this product," 0:02:52.974,0:02:55.282 but then they really didn't[br]when they had skin in the game 0:02:55.282,0:02:56.409 and had to buy it. 0:02:56.498,0:03:00.283 The quicker a person moves a mouse[br]to a box to click on something, 0:03:00.283,0:03:02.040 the more they like it. 0:03:02.424,0:03:04.924 It's like a fast trajectory,[br]"I really like this." 0:03:05.190,0:03:08.090 A slow meandering trajectory is, [br]"Well, I don't know. I'm not sure." 0:03:08.090,0:03:12.457 The motor activity in the mouse is[br]actually an index in economic value 0:03:12.457,0:03:15.273 as well as some other things,[br]like indecision. 0:03:19.701,0:03:21.624 We live in a kind of golden age[br]of social science 0:03:21.650,0:03:24.483 in which we can measure things[br]in lots and lots of different ways. 0:03:24.483,0:03:25.819 So one thing we've just begun 0:03:25.819,0:03:28.150 that I think it's going [br]to be really, really fun 0:03:28.181,0:03:32.448 is in order to study habit[br]and a bunch of other things. 0:03:32.448,0:03:35.315 We bought a smart vending machine,[br]and a smart vending machine 0:03:35.315,0:03:37.380 is basically a vending machine [br]in the back 0:03:37.380,0:03:39.129 and a giant iPad in the front. 0:03:39.217,0:03:42.285 So you could program the iPad[br]to show whatever you want. 0:03:42.285,0:03:44.850 For example, if somebody buys[br]habitually and you raise the price 0:03:44.850,0:03:47.434 by a few percent,[br]do they just ignore that 0:03:47.434,0:03:49.299 because they're not [br]even looking at the price? 0:03:49.381,0:03:52.560 Eventually, we'd like also[br]to be able to use webcam cameras 0:03:52.628,0:03:55.226 to record so when I say[br]somebody is not looking at the price, 0:03:55.226,0:03:57.537 I really mean they [br]are not looking at the price 0:03:57.537,0:03:59.903 because the camera looked[br]at where their eyes were looking. 0:04:00.065,0:04:02.398 - [Narrator] Want to see [br]more economists in the wild? 0:04:02.398,0:04:03.764 Check out our playlist. 0:04:03.764,0:04:05.148 Are you a teacher? 0:04:05.148,0:04:07.628 Here's some related material [br]for your classroom. 0:04:07.868,0:04:09.641 ♪ [music] ♪