1 99:59:59,999 --> 99:59:59,999 - [Colin] We have a saying in neuroscience sometimes: 2 99:59:59,999 --> 99:59:59,999 don't ask the person, ask the brain 3 99:59:59,999 --> 99:59:59,999 because the brain activity maybe something that's less 4 99:59:59,999 --> 99:59:59,999 than fully conscious. 5 99:59:59,999 --> 99:59:59,999 ♪ [music] ♪ 6 99:59:59,999 --> 99:59:59,999 My research is about behavioral economics and neuroeconomics. 7 99:59:59,999 --> 99:59:59,999 And behavioral economics is using ideas from psychology 8 99:59:59,999 --> 99:59:59,999 and other social sciences to make economics 9 99:59:59,999 --> 99:59:59,999 a little bit more lifelike and fit human behavior. 10 99:59:59,999 --> 99:59:59,999 The neuroeconomics part is that we actually try to see 11 99:59:59,999 --> 99:59:59,999 what's happening in the brain 12 99:59:59,999 --> 99:59:59,999 when people are making economic decisions. 13 99:59:59,999 --> 99:59:59,999 Hypothetical bias is a term for when you ask somebody 14 99:59:59,999 --> 99:59:59,999 whether they're going to something, but there's no actual consequences, 15 99:59:59,999 --> 99:59:59,999 like a lot of surveys: "Are you going to vote?" 16 99:59:59,999 --> 99:59:59,999 "Will you buy this new product we have?" 17 99:59:59,999 --> 99:59:59,999 You tend to get a kind of upward "yes" bias. 18 99:59:59,999 --> 99:59:59,999 People are more likely to say, "Yeah, I'd think I'd buy it," 19 99:59:59,999 --> 99:59:59,999 or, "Oh yeah, I'm planning to vote." 20 99:59:59,999 --> 99:59:59,999 The hypothetical bias can be pretty high, 21 99:59:59,999 --> 99:59:59,999 and it can be also retrospective. 22 99:59:59,999 --> 99:59:59,999 So if you ask people did they vote, 23 99:59:59,999 --> 99:59:59,999 70% say yes and really the answer was 45%. 24 99:59:59,999 --> 99:59:59,999 One application is in things like marketing. 25 99:59:59,999 --> 99:59:59,999 A lot of new products fail and one reason they fail 26 99:59:59,999 --> 99:59:59,999 is because when they test market it, 27 99:59:59,999 --> 99:59:59,999 a lot of people said, "Yes, I'd buy it," 28 99:59:59,999 --> 99:59:59,999 who weren't going to buy it. 29 99:59:59,999 --> 99:59:59,999 One thing that people that people have been chasing 30 99:59:59,999 --> 99:59:59,999 in different fields in economics and psychology 31 99:59:59,999 --> 99:59:59,999 is how can we measure the size of this bias and adjust for it. 32 99:59:59,999 --> 99:59:59,999 So that if 70% of the people say they're going to buy a new product, 33 99:59:59,999 --> 99:59:59,999 we know that the real number is 45%. 34 99:59:59,999 --> 99:59:59,999 We did a couple of studies using brain imaging to say 35 99:59:59,999 --> 99:59:59,999 is there a kind of signature in the brain of when 36 99:59:59,999 --> 99:59:59,999 somebody says, "Yes, I would buy it," 37 99:59:59,999 --> 99:59:59,999 but when they really have to choose, they say no. 38 99:59:59,999 --> 99:59:59,999 So we showed them pictures of different goods, 39 99:59:59,999 --> 99:59:59,999 and the first part of the experiment, we asked them, 40 99:59:59,999 --> 99:59:59,999 "Would you pay $27 for this backpack, yes or no?" 41 99:59:59,999 --> 99:59:59,999 That's the hypothetical part, and then we kind of surprised them 42 99:59:59,999 --> 99:59:59,999 when they come out of the scanner and we say to them, 43 99:59:59,999 --> 99:59:59,999 "Oh by the way, now we're going to actually have you decide 44 99:59:59,999 --> 99:59:59,999 to spend money so we're going to give you $50." 45 99:59:59,999 --> 99:59:59,999 If you want to buy the backpack for $27, we're going to take it 46 99:59:59,999 --> 99:59:59,999 out of your 50, so that now they have to make real decisions, 47 99:59:59,999 --> 99:59:59,999 and then we study in the brain imaging, 48 99:59:59,999 --> 99:59:59,999 could we tell what areas we're saying yes, 49 99:59:59,999 --> 99:59:59,999 but actually would later say no compared to the areas that said, 50 99:59:59,999 --> 99:59:59,999 "Yes, I think I'll buy it," and, yes, they really did buy it. 51 99:59:59,999 --> 99:59:59,999 And we found both more activity in certain regions associated 52 99:59:59,999 --> 99:59:59,999 with valuation and then activity in different regions, 53 99:59:59,999 --> 99:59:59,999 which were somewhat predictive of when a yes was going to turn in 54 99:59:59,999 --> 99:59:59,999 to, "Well, not really." 55 99:59:59,999 --> 99:59:59,999 In some other studies on hypothetical bias, 56 99:59:59,999 --> 99:59:59,999 we used eye tracking, which is a computerized way 57 99:59:59,999 --> 99:59:59,999 of seeing what you're looking at for how long. 58 99:59:59,999 --> 99:59:59,999 It also measures pupil dilation. 59 99:59:59,999 --> 99:59:59,999 When you're aroused by something that you like, 60 99:59:59,999 --> 99:59:59,999 or possibly you're scared, the pupil dilates a little bit. 61 99:59:59,999 --> 99:59:59,999 So we used that method and then another method 62 99:59:59,999 --> 99:59:59,999 using mouse movements. 63 99:59:59,999 --> 99:59:59,999 And so we found that the mouse tracking 64 99:59:59,999 --> 99:59:59,999 and the eye tracking actually could give us an idea 65 99:59:59,999 --> 99:59:59,999 of when people would say, "Yes, I'm going to buy this product," 66 99:59:59,999 --> 99:59:59,999 but then they really didn't when they had skin in the game 67 99:59:59,999 --> 99:59:59,999 and had to buy it. 68 99:59:59,999 --> 99:59:59,999 The quicker a person moves a mouse to a box to click on something, 69 99:59:59,999 --> 99:59:59,999 the more they like it. 70 99:59:59,999 --> 99:59:59,999 It's like a fast trajectory, "I really like this." 71 99:59:59,999 --> 99:59:59,999 A slow meandering trajectory is, "Well, I don't know. I'm not sure." 72 99:59:59,999 --> 99:59:59,999 The motor activity in the mouse is actually an index in economic value 73 99:59:59,999 --> 99:59:59,999 as well as some other things, like indecision. 74 99:59:59,999 --> 99:59:59,999 We live in a kind of golden age of social science 75 99:59:59,999 --> 99:59:59,999 in which we can measure things in lots and lots of different ways. 76 99:59:59,999 --> 99:59:59,999 So one thing we've just begun 77 99:59:59,999 --> 99:59:59,999 that I think it's going to be really, really fun 78 99:59:59,999 --> 99:59:59,999 is in order to study habit and a bunch of other things. 79 99:59:59,999 --> 99:59:59,999 We bought a smart vending machine and a smart vending machine 80 99:59:59,999 --> 99:59:59,999 is basically a vending machine in the back 81 99:59:59,999 --> 99:59:59,999 and a giant iPad in the front. 82 99:59:59,999 --> 99:59:59,999 So you could program the iPad to show whatever you want. 83 99:59:59,999 --> 99:59:59,999 For example, if somebody buys habitually and you raise the price 84 99:59:59,999 --> 99:59:59,999 by a few percent, do they just ignore that 85 99:59:59,999 --> 99:59:59,999 because they're not even looking at the price. 86 99:59:59,999 --> 99:59:59,999 Eventually, we'd like also to be able to use webcam cameras 87 99:59:59,999 --> 99:59:59,999 to record so when I say somebody is not looking at the price, 88 99:59:59,999 --> 99:59:59,999 I really mean they are not looking at the price 89 99:59:59,999 --> 99:59:59,999 because the camera looked at where their eyes were looking. 90 99:59:59,999 --> 99:59:59,999 - [Narrator] Want to see more economists in the wild? 91 99:59:59,999 --> 99:59:59,999 Check out our playlist. 92 99:59:59,999 --> 99:59:59,999 Are you a teacher? 93 99:59:59,999 --> 99:59:59,999 Here's some related material for your classroom. 94 99:59:59,999 --> 99:59:59,999 ♪ [music] ♪