1 00:00:00,785 --> 00:00:02,665 What if I could present you a story 2 00:00:02,689 --> 00:00:05,103 that you would remember with your entire body 3 00:00:05,127 --> 00:00:07,284 and not just with your mind? 4 00:00:07,308 --> 00:00:09,983 My whole life as a journalist, I've really been compelled 5 00:00:10,007 --> 00:00:12,318 to try to make stories that can make a difference 6 00:00:12,342 --> 00:00:14,912 and maybe inspire people to care. 7 00:00:14,936 --> 00:00:17,262 I've worked in print. I've worked in documentary. 8 00:00:17,286 --> 00:00:18,555 I've worked in broadcast. 9 00:00:18,579 --> 00:00:21,641 But it really wasn't until I got involved with virtual reality 10 00:00:21,665 --> 00:00:24,506 that I started seeing these really intense, 11 00:00:24,530 --> 00:00:26,514 authentic reactions from people 12 00:00:26,538 --> 00:00:28,213 that really blew my mind. 13 00:00:28,237 --> 00:00:32,910 So the deal is that with VR, virtual reality, 14 00:00:32,934 --> 00:00:35,934 I can put you on scene 15 00:00:35,958 --> 00:00:37,759 in the middle of the story. 16 00:00:38,148 --> 00:00:41,632 By putting on these goggles that track wherever you look, 17 00:00:41,656 --> 00:00:44,584 you get this whole-body sensation, 18 00:00:44,608 --> 00:00:46,815 like you're actually, like, there. 19 00:00:47,209 --> 00:00:50,611 So five years ago was about when I really began to push the envelope 20 00:00:50,635 --> 00:00:53,885 with using virtual reality and journalism together. 21 00:00:53,909 --> 00:00:56,457 And I wanted to do a piece about hunger. 22 00:00:56,481 --> 00:00:59,640 Families in America are going hungry, food banks are overwhelmed, 23 00:00:59,664 --> 00:01:01,719 and they're often running out of food. 24 00:01:02,330 --> 00:01:05,949 Now, I knew I couldn't make people feel hungry, 25 00:01:05,973 --> 00:01:09,790 but maybe I could figure out a way to get them to feel something physical. 26 00:01:10,726 --> 00:01:13,790 So -- again, this is five years ago -- 27 00:01:13,814 --> 00:01:16,990 so doing journalism and virtual reality together 28 00:01:17,014 --> 00:01:19,997 was considered a worse-than-half-baked idea, 29 00:01:20,021 --> 00:01:21,376 and I had no funding. 30 00:01:21,400 --> 00:01:23,899 Believe me, I had a lot of colleagues laughing at me. 31 00:01:23,923 --> 00:01:27,713 And I did, though, have a really great intern, 32 00:01:27,737 --> 00:01:29,975 a woman named Michaela Kobsa-Mark. 33 00:01:29,999 --> 00:01:31,817 And together we went out to food banks 34 00:01:31,841 --> 00:01:34,913 and started recording audio and photographs. 35 00:01:34,937 --> 00:01:36,857 Until one day she came back to my office 36 00:01:36,881 --> 00:01:39,276 and she was bawling, she was just crying. 37 00:01:39,300 --> 00:01:41,902 She had been on scene at a long line, 38 00:01:41,926 --> 00:01:45,871 where the woman running the line was feeling extremely overwhelmed, 39 00:01:45,895 --> 00:01:48,863 and she was screaming, "There's too many people! 40 00:01:48,887 --> 00:01:50,783 There's too many people!" 41 00:01:50,807 --> 00:01:54,362 And this man with diabetes doesn't get food in time, 42 00:01:54,386 --> 00:01:57,941 his blood sugar drops too low, and he collapses into a coma. 43 00:01:58,695 --> 00:02:00,227 As soon as I heard that audio, 44 00:02:00,251 --> 00:02:03,496 I knew that this would be the kind of evocative piece 45 00:02:03,520 --> 00:02:06,624 that could really describe what was going on at food banks. 46 00:02:07,290 --> 00:02:10,906 So here's the real line. You can see how long it was, right? 47 00:02:10,930 --> 00:02:13,557 And again, as I said, we didn't have very much funding, 48 00:02:13,581 --> 00:02:17,331 so I had to reproduce it with virtual humans that were donated, 49 00:02:17,355 --> 00:02:21,481 and people begged and borrowed favors to help me create the models 50 00:02:21,505 --> 00:02:23,664 and make things as accurate as we could. 51 00:02:23,688 --> 00:02:26,297 And then we tried to convey what happened that day 52 00:02:26,321 --> 00:02:29,115 with as much as accuracy as is possible. 53 00:02:29,680 --> 00:02:33,878 (Video) Voice: There's too many people! There's too many people! 54 00:02:42,340 --> 00:02:45,061 Voice: OK, he's having a seizure. 55 00:02:59,023 --> 00:03:01,872 Voice: We need an ambulance. 56 00:03:02,181 --> 00:03:04,198 Nonny de la Peña: So the man on the right, 57 00:03:04,222 --> 00:03:06,094 for him, he's walking around the body. 58 00:03:06,118 --> 00:03:08,815 For him, he's in the room with that body. 59 00:03:09,355 --> 00:03:11,172 Like, that guy is at his feet. 60 00:03:11,601 --> 00:03:13,808 And even though, through his peripheral vision, 61 00:03:13,832 --> 00:03:15,903 he can see that he's in this lab space, 62 00:03:15,927 --> 00:03:20,140 he should be able to see that he's not actually on the street, 63 00:03:20,164 --> 00:03:23,060 but he feels like he's there with those people. 64 00:03:23,084 --> 00:03:25,094 He's very cautious not to step on this guy 65 00:03:25,118 --> 00:03:26,784 who isn't really there, right? 66 00:03:27,506 --> 00:03:30,609 So that piece ended up going to Sundance in 2012, 67 00:03:30,633 --> 00:03:34,554 a kind of amazing thing, and it was the first virtual reality film 68 00:03:34,578 --> 00:03:36,538 ever, basically. 69 00:03:37,062 --> 00:03:39,023 And when we went, I was really terrified. 70 00:03:39,047 --> 00:03:41,484 I didn't really know how people were going to react 71 00:03:41,508 --> 00:03:42,897 and what was going to happen. 72 00:03:42,921 --> 00:03:45,818 And we showed up with this duct-taped pair of goggles. 73 00:03:45,842 --> 00:03:49,827 (Video) Oh, you're crying. You're crying. Gina, you're crying. 74 00:03:49,851 --> 00:03:52,571 So you can hear the surprise in my voice, right? 75 00:03:52,595 --> 00:03:56,190 And this kind of reaction ended up being the kind of reaction we saw 76 00:03:56,214 --> 00:03:58,984 over and over and over: 77 00:03:59,008 --> 00:04:02,714 people down on the ground trying to comfort the seizure victim, 78 00:04:02,738 --> 00:04:04,658 trying to whisper something into his ear 79 00:04:04,682 --> 00:04:08,640 or in some way help, even though they couldn't. 80 00:04:08,664 --> 00:04:11,348 And I had a lot of people come out of that piece saying, 81 00:04:11,372 --> 00:04:14,096 "Oh my God, I was so frustrated. I couldn't help the guy," 82 00:04:14,120 --> 00:04:15,841 and take that back into their lives. 83 00:04:16,999 --> 00:04:18,865 So after this piece was made, 84 00:04:20,198 --> 00:04:24,007 the dean of the cinema school at USC, the University of Southern California, 85 00:04:24,031 --> 00:04:28,238 brought in the head of the World Economic Forum to try "Hunger," 86 00:04:28,262 --> 00:04:29,603 and he took off the goggles, 87 00:04:29,627 --> 00:04:32,667 and he commissioned a piece about Syria on the spot. 88 00:04:32,691 --> 00:04:35,604 And I really wanted to do something about Syrian refugee kids, 89 00:04:35,628 --> 00:04:39,920 because children have been the worst affected by the Syrian civil war. 90 00:04:40,809 --> 00:04:44,767 I sent a team to the border of Iraq to record material at refugee camps, 91 00:04:44,791 --> 00:04:47,942 basically an area I wouldn't send a team now, 92 00:04:47,966 --> 00:04:50,434 as that's where ISIS is really operating. 93 00:04:50,458 --> 00:04:53,164 And then we also recreated a street scene 94 00:04:53,188 --> 00:04:56,711 in which a young girl is singing and a bomb goes off. 95 00:04:57,340 --> 00:04:59,419 Now, when you're in the middle of that scene 96 00:04:59,443 --> 00:05:01,997 and you hear those sounds, 97 00:05:02,021 --> 00:05:04,314 and you see the injured around you, 98 00:05:04,338 --> 00:05:07,338 it's an incredibly scary and real feeling. 99 00:05:07,362 --> 00:05:11,902 I've had individuals who have been involved in real bombings tell me 100 00:05:11,926 --> 00:05:15,401 that it evokes the same kind of fear. 101 00:05:16,211 --> 00:05:20,730 [The civil war in Syria may seem far away] 102 00:05:22,078 --> 00:05:28,344 [until you experience it yourself.] 103 00:05:29,062 --> 00:05:36,013 (Girl singing) 104 00:05:36,037 --> 00:05:38,815 (Explosion) 105 00:05:38,839 --> 00:05:43,076 [Project Syria] 106 00:05:43,988 --> 00:05:45,985 [A virtual reality experience] 107 00:05:46,653 --> 00:05:48,721 NP: We were then invited to take the piece 108 00:05:48,745 --> 00:05:50,799 to the Victoria and Albert Museum in London. 109 00:05:50,823 --> 00:05:52,180 And it wasn't advertised. 110 00:05:52,204 --> 00:05:54,528 And we were put in this tapestry room. 111 00:05:54,552 --> 00:05:55,894 There was no press about it, 112 00:05:55,918 --> 00:05:59,655 so anybody who happened to walk into the museum to visit it that day 113 00:05:59,679 --> 00:06:01,442 would see us with these crazy lights. 114 00:06:01,466 --> 00:06:05,141 You know, maybe they would want to see the old storytelling of the tapestries. 115 00:06:05,165 --> 00:06:07,632 They were confronted by our virtual reality cameras. 116 00:06:08,513 --> 00:06:11,640 But a lot of people tried it, and over a five-day run 117 00:06:11,664 --> 00:06:16,204 we ended up with 54 pages of guest book comments, 118 00:06:16,228 --> 00:06:18,564 and we were told by the curators there 119 00:06:18,588 --> 00:06:21,177 that they'd never seen such an outpouring. 120 00:06:21,201 --> 00:06:25,828 Things like, "It's so real," "Absolutely believable," 121 00:06:25,852 --> 00:06:28,312 or, of course, the one that I was excited about, 122 00:06:28,336 --> 00:06:31,185 "A real feeling as if you were in the middle of something 123 00:06:31,209 --> 00:06:33,471 that you normally see on the TV news." 124 00:06:34,463 --> 00:06:37,939 So, it works, right? This stuff works. 125 00:06:38,297 --> 00:06:42,092 And it doesn't really matter where you're from or what age you are -- 126 00:06:42,116 --> 00:06:44,319 it's really evocative. 127 00:06:44,343 --> 00:06:48,295 Now, don't get me wrong -- I'm not saying that when you're in a piece 128 00:06:48,319 --> 00:06:51,199 you forget that you're here. 129 00:06:51,223 --> 00:06:54,398 But it turns out we can feel like we're in two places at once. 130 00:06:54,422 --> 00:06:57,572 We can have what I call this duality of presence, 131 00:06:57,596 --> 00:07:02,453 and I think that's what allows me to tap into these feelings of empathy. 132 00:07:02,477 --> 00:07:03,628 Right? 133 00:07:04,041 --> 00:07:07,232 So that means, of course, 134 00:07:07,256 --> 00:07:12,151 that I have to be very cautious about creating these pieces. 135 00:07:12,175 --> 00:07:16,437 I have to really follow best journalistic practices 136 00:07:16,461 --> 00:07:18,596 and make sure that these powerful stories 137 00:07:18,620 --> 00:07:20,206 are built with integrity. 138 00:07:20,230 --> 00:07:22,603 If we don't capture the material ourselves, 139 00:07:22,627 --> 00:07:27,595 we have to be extremely exacting 140 00:07:27,619 --> 00:07:30,920 about figuring out the provenance and where did this stuff come from 141 00:07:30,944 --> 00:07:32,252 and is it authentic? 142 00:07:32,276 --> 00:07:33,633 Let me give you an example. 143 00:07:33,657 --> 00:07:36,594 With this Trayvon Martin case, this is a guy, a kid, 144 00:07:36,618 --> 00:07:40,721 who was 17 years old and he bought soda and a candy at a store, 145 00:07:40,745 --> 00:07:44,221 and on his way home he was tracked by a neighborhood watchman 146 00:07:44,245 --> 00:07:47,110 named George Zimmerman who ended up shooting and killing him. 147 00:07:47,657 --> 00:07:48,809 To make that piece, 148 00:07:48,833 --> 00:07:52,435 we got the architectural drawings of the entire complex, 149 00:07:52,459 --> 00:07:57,228 and we rebuilt the entire scene inside and out, based on those drawings. 150 00:07:57,252 --> 00:07:58,547 All of the action 151 00:07:58,571 --> 00:08:03,490 is informed by the real 911 recorded calls to the police. 152 00:08:04,411 --> 00:08:07,188 And interestingly, we broke some news with this story. 153 00:08:07,212 --> 00:08:11,187 The forensic house that did the audio reconstruction, Primeau Productions, 154 00:08:11,211 --> 00:08:13,157 they say that they would testify 155 00:08:13,181 --> 00:08:15,856 that George Zimmerman, when he got out of the car, 156 00:08:15,880 --> 00:08:18,712 he cocked his gun before he went to give chase to Martin. 157 00:08:20,013 --> 00:08:23,418 So you can see that the basic tenets of journalism, 158 00:08:23,442 --> 00:08:25,315 they don't really change here, right? 159 00:08:25,339 --> 00:08:28,743 We're still following the same principles that we would always. 160 00:08:28,767 --> 00:08:32,070 What is different is the sense of being on scene, 161 00:08:32,094 --> 00:08:34,435 whether you're watching a guy collapse from hunger 162 00:08:34,459 --> 00:08:36,944 or feeling like you're in the middle of a bomb scene. 163 00:08:36,968 --> 00:08:41,916 And this is kind of what has driven me forward with these pieces, 164 00:08:41,940 --> 00:08:43,663 and thinking about how to make them. 165 00:08:43,687 --> 00:08:47,882 We're trying to make this, obviously, beyond the headset, more available. 166 00:08:47,906 --> 00:08:50,833 We're creating mobile pieces like the Trayvon Martin piece. 167 00:08:50,857 --> 00:08:54,406 And these things have had impact. 168 00:08:54,430 --> 00:08:57,002 I've had Americans tell me that they've donated, 169 00:08:57,026 --> 00:09:01,420 direct deductions from their bank account, money to go to Syrian children refugees. 170 00:09:01,444 --> 00:09:03,777 And "Hunger in LA," well, it's helped start 171 00:09:03,801 --> 00:09:06,230 a new form of doing journalism 172 00:09:06,254 --> 00:09:09,350 that I think is going to join all the other normal platforms 173 00:09:09,374 --> 00:09:10,525 in the future. 174 00:09:10,549 --> 00:09:11,713 Thank you. 175 00:09:11,737 --> 00:09:14,149 (Applause)