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Bird's Eye View_ Software and Human Perception - Part 2 — Transcript

by NPTEL-NOC IITM · 2,181 words · 332 segments · language en · Watch on YouTube

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  1. 0:01[Music]
  2. 0:17So indeed what we think is around us
  3. 0:21even in the real world is only what our
  4. 0:23senses can sense and what our brain can
  5. 0:26interpret. So we are unable to see or
  6. 0:29feel anything else. So similarly the
  7. 0:32modern VR experiences are simply an
  8. 0:34illusion to our senses. Right? And
  9. 0:36that's why it's so important to
  10. 0:37understand how actually how does it
  11. 0:39actually happen and perception
  12. 0:41psychology will help us understand how
  13. 0:43our senses and brain work together to
  14. 0:46experience things around us including
  15. 0:48virtual reality. So here's some typical
  16. 0:51questions that arise in virtual reality
  17. 0:54that perceptual psychology will help us
  18. 0:57answer. For example, how much resolution
  19. 1:00is enough so that you don't perceive an
  20. 1:03individual pixel on the screen but you
  21. 1:06see a picture as continue?
  22. 1:08Or how many frames per second is enough
  23. 1:11so that we perceive motion as continuous
  24. 1:14and real?
  25. 1:16or how do we perceive the source of
  26. 1:18audio signal, right? Like if someone
  27. 1:20calls you, usually you know which way to
  28. 1:23turn, right? So how do we do that in VR?
  29. 1:26So these are the examples that we know
  30. 1:29the answers to and they're related to
  31. 1:30these neural structures in our brains
  32. 1:32and perceptual psychology helps us with
  33. 1:35understanding this. So here are some
  34. 1:38questions that we don't quite know the
  35. 1:40answers to. For example, is my height
  36. 1:44right in virtual reality? So why do I
  37. 1:47feel like the floor is wrong at the
  38. 1:50wrong distance? Or why is that user too
  39. 1:52short or too tall?
  40. 1:55Now does this carton of milk appear to
  41. 1:58be right size or the correct distance?
  42. 2:01Because we know how well sorry we know
  43. 2:04here in Europe I guess you you have
  44. 2:06cartons of milk or something cartons of
  45. 2:08something that you really know the size
  46. 2:10of in VR how to make it look exactly how
  47. 2:13it should be.
  48. 2:16That's a really perceptual question.
  49. 2:19Now, is one tracking method better than
  50. 2:21another?
  51. 2:23So, at Oculus, for example, we
  52. 2:24implemented tracking methods for which
  53. 2:26all of the engineering numbers, so
  54. 2:29tracking errors such as worst case
  55. 2:30arrow, best case error, average error,
  56. 2:33they were all better, but perceptually
  57. 2:36methods appeared worse. Similarly for
  58. 2:39lenses the distortion parameters they
  59. 2:42had to be perceptually tuned just like
  60. 2:44you do it in in your homework one before
  61. 2:47at Oculus we released them as consumer
  62. 2:49product. So why why is that and how do
  63. 2:52you test these methods in VR then if
  64. 2:54they are so individual if if they if
  65. 2:57they depend on individual perception so
  66. 3:01we don't quite know yet for VR all of
  67. 3:03these questions are still somewhat open.
  68. 3:06So what or at least this is a re these
  69. 3:08are researched topics. So what causes
  70. 3:11nausea? What causes fatigue?
  71. 3:14Big questions we don't know. We have
  72. 3:17researchers in our lab who are trying to
  73. 3:19figure out what causes nausea in VR. Is
  74. 3:22it really vion or something else? So do
  75. 3:25I really feel immersed in this
  76. 3:26experience or not? So all of this has to
  77. 3:29do with sensation and perception. And to
  78. 3:32start answering this questions and more
  79. 3:34questions, we need to learn some basic
  80. 3:37physiology of the human body like
  81. 3:40including our sense organs like eyes and
  82. 3:42ears and neural pathways. And we must
  83. 3:45learn uh known results from experimental
  84. 3:47perceptual psychology that are rel
  85. 3:50relevant or related to VR. But most
  86. 3:53importantly, we really need to
  87. 3:54understand what is this interface of
  88. 3:56these VR systems with our senses and
  89. 3:59perception. So this artificial stimuli
  90. 4:01that coming from these engineered VR
  91. 4:04devices or uh displays they confuse our
  92. 4:07brains and sometimes our brains don't
  93. 4:09mind but sometimes they do and that's
  94. 4:12why you feel uncomfortable. So we need
  95. 4:14to understand the reasons for this in
  96. 4:16general we really really need to
  97. 4:17understand the reasons from the
  98. 4:19physiological point of view.
  99. 4:23Okay.
  100. 4:25A proven VR system without any motion
  101. 4:27sickness.
  102. 4:30I don't know such thing. No, I don't
  103. 4:32know. I think any VR system can produce
  104. 4:34some environments where you'll feel
  105. 4:36motion sick.
  106. 4:39There are very comfortable systems out
  107. 4:41there, but I don't know anything that
  108. 4:43would never cause any discomfort to
  109. 4:45everybody. Like for example, our own
  110. 4:48Steve Laval who is a co-instructor in
  111. 4:50this course. He is always uncomfortable
  112. 4:53in any VR systems in any demos. So there
  113. 4:56you go.
  114. 4:58Can't we input our height weight and
  115. 5:00create our avatar? You think that it's
  116. 5:02so simple, right? No, it's not because
  117. 5:05it's all relative like how you you first
  118. 5:08of all you don't even have your hands in
  119. 5:10many experiences and you can't have them
  120. 5:13with the technology that we have. So
  121. 5:15that all messes up with the rest of the
  122. 5:17perception.
  123. 5:19Okay. So let's move on. Let's see.
  124. 5:23One relevant to VR question that is um
  125. 5:27important to your relevant to what you
  126. 5:29just asked is how to perceive depth and
  127. 5:32that's very related to perceiving size.
  128. 5:35So something like your height or how far
  129. 5:37the floor is. So how and you now you'll
  130. 5:40see why the answer is not that simple
  131. 5:43that there is a lot of processes that
  132. 5:44are going on into figuring out the
  133. 5:47depths of objects or the distances to
  134. 5:50objects. So this has been studied by
  135. 5:52perceptual psychologists for quite a bit
  136. 5:55of time and there are some answers to
  137. 5:57this question. So depth perception for
  138. 5:59example is something that uh is studied
  139. 6:02really well and what it does is it
  140. 6:05allows us to depth perception in our
  141. 6:07brains is something that allows us to
  142. 6:09see objects in 3D and also something
  143. 6:14that allows us to estimate distances to
  144. 6:16objects. So why is this relevant to VR?
  145. 6:19I think you already know because you
  146. 6:20just asked that question. So um in
  147. 6:24engineering
  148. 6:27uh we computer sciences and engineering
  149. 6:30engineers we overemphasize
  150. 6:32the importance of real realism or
  151. 6:35especially stereo uh what we can have in
  152. 6:38these devices. So how is it important?
  153. 6:40How much is it important to see the
  154. 6:43world through two eyes?
  155. 6:45And um the truth is that moninocular
  156. 6:48cues so something that you see even with
  157. 6:51your eyes one eye closed or in
  158. 6:54panoramas. So those are moninocular cues
  159. 6:57that provide a lot of information and
  160. 6:59there is no stereo.
  161. 7:01Uh so for many applications this is
  162. 7:04quite enough to just have that and not
  163. 7:06have binocular cues. So using panoramas
  164. 7:08instead of 3D models for example could
  165. 7:10reduce the cost and simplify the
  166. 7:13engineering design as well
  167. 7:14significantly. That's why I want to see
  168. 7:16it in our projects I hope. But of course
  169. 7:19realism is also very important. St is
  170. 7:22also very important in many applications
  171. 7:24such as virtual surgery or virtual
  172. 7:27prototyping training program programs of
  173. 7:29of sorts. However, we need to learn when
  174. 7:33stereo is absolutely necessary and when
  175. 7:35it is not. and panoramas might be good
  176. 7:38enough for some applications and maybe
  177. 7:41not good for others. So it's important
  178. 7:42to understand what are those. So uh
  179. 7:45let's look briefly at how the brain
  180. 7:48processes uh this depth information. So
  181. 7:52how does our brain know when something
  182. 7:54is close or far away? So we call it
  183. 7:57cues. The cues that help the brain to
  184. 8:00make interpretations or make conclusions
  185. 8:02about distance to the objects. So there
  186. 8:04are two types of cues.
  187. 8:06um cues that come from one eye only,
  188. 8:09they're called moninocular. And cues
  189. 8:10that come from uh two eyes, binocular
  190. 8:13cues. So not all depth cues have to be
  191. 8:16binocular. Uh just like panoramas. So if
  192. 8:19you close one eye, you can still infer
  193. 8:21depth to many objects and those are
  194. 8:24moninocular cues that your brain will
  195. 8:25use. So for example, if you're in the
  196. 8:27mountains or in an airplane, also a lot
  197. 8:29of uh binocular cues are missing, but
  198. 8:32you still can in perceive depth infer
  199. 8:35distances to objects.
  200. 8:37Uh okay, so let's talk about that
  201. 8:39binocular cues first.
  202. 8:42Um so one binocular Q is convergence and
  203. 8:47that means that depending on how much
  204. 8:49your eyes needed to converge on an
  205. 8:51object the bra when looking at it the
  206. 8:53brain will remember that effort how much
  207. 8:55effort went into that and will infer the
  208. 8:58distance to that object from that. So
  209. 9:01this is called convergence cube. And we
  210. 9:03turn our eyes only on objects that are
  211. 9:05within kind of four to 6 m away, closer
  212. 9:10than 6 m away, not further than that.
  213. 9:13And this angle and how much the eyeballs
  214. 9:15needed to turn is what the brain will
  215. 9:17remember. So notice that the objects
  216. 9:19that are further away, this cue is
  217. 9:21absent, but we still can infer distances
  218. 9:24based on other cues. So another
  219. 9:27binocular cue is binocular disparity
  220. 9:31and that's something that depending on
  221. 9:33how different the two objects appear on
  222. 9:36your retinas
  223. 9:38and this is also true only for objects
  224. 9:4010 to 6 m away from us not further than
  225. 9:44that. So this cue is very very important
  226. 9:47because this is what allows us to
  227. 9:49perceive objects as three-dimensional or
  228. 9:52stereo. So, two eyes will see completely
  229. 9:56different objects, right? And the brain
  230. 9:58combines them into this
  231. 9:59three-dimensional image. And this what
  232. 10:01makes HMDs or um uh cardboards so
  233. 10:06powerful because they allow for so much
  234. 10:08immersion because they have this
  235. 10:10binocular disparity cue in them. And
  236. 10:14they these visual displays, they're
  237. 10:15quite different from other displays that
  238. 10:17we had before like TVs, computer screens
  239. 10:20or phones. they they didn't provide
  240. 10:22binocular disparities so they were less
  241. 10:24immersive.
  242. 10:26So now let's look at all of the
  243. 10:28moninocular cues that also used by the
  244. 10:31brain to estimate distances even with
  245. 10:33one eye closed. So uh there are many of
  246. 10:37them many studied moninocular cues and
  247. 10:41each of them gives provides a lot of
  248. 10:43information to the brain and I will not
  249. 10:45go through them now because we will go
  250. 10:47through a special lecture on binocular
  251. 10:50on monoccular and binocular cues on
  252. 10:52depth perception. But if you understand
  253. 10:55these cues well enough then you can
  254. 10:57create illusions and also uh answering
  255. 11:00this question about why is it not simple
  256. 11:02to just set up the height of your avatar
  257. 11:04because all of this the brain will still
  258. 11:06analyze all of this. It will use a lot
  259. 11:09of other information from your
  260. 11:11environment to create this coherent
  261. 11:14picture of the world and all of this
  262. 11:16should be right and I don't know how
  263. 11:19it's related exactly because again I I'm
  264. 11:22not a researcher in that area. Uh I just
  265. 11:24know it's not that simple. If you just
  266. 11:26set up your avatar with a particular
  267. 11:28height, you'll see that it will not look
  268. 11:30the same because maybe your shoulders
  269. 11:32are not the right uh width and that will
  270. 11:35give you an illusion of different
  271. 11:37height. So all of this play together in
  272. 11:40some way and the brain makes
  273. 11:42conclusions. So see how easy it is to
  274. 11:44make an illusion.
  275. 11:47Um like and and this is just to
  276. 11:49summarize all of these monarch cues. Our
  277. 11:52brain automatically will make certain
  278. 11:55assumptions using all of these cues
  279. 11:57which will sometimes be wrong if other
  280. 12:00information is meas. So these illusions
  281. 12:03demonstrate how much work our brains uh
  282. 12:08do all the time together with the sense
  283. 12:10organs. So they are constantly doing a
  284. 12:13lot of work to fill in missing details
  285. 12:16uh or make interpretations about the
  286. 12:18world. So, um, let me create some kind
  287. 12:22of illusions back here. I think I wanted
  288. 12:25to show this here. How easy it is create
  289. 12:28illusions. So, let's turn on the pen and
  290. 12:30I'm going to give a stick to this panda
  291. 12:33and give the same size stick. So, think
  292. 12:35about it. It's the same size. Well,
  293. 12:37roughly the same size, right? So, it
  294. 12:39will occupy the same amount of photo
  295. 12:41receptors on your retina. However, it
  296. 12:44appears that this one is smaller. So
  297. 12:48here I just gave it the same height like
  298. 12:50in Unity I could have modeled it in some
  299. 12:52way. So what what went wrong? It's the
  300. 12:54same size, right? Because um well it
  301. 12:57turns out that if the brain will again
  302. 13:00use all of these cues to analyze
  303. 13:02distances and it will infer that this
  304. 13:05might be a closer stick than the other
  305. 13:08one and therefore the sizes will be
  306. 13:10inferred as well. So size perception and
  307. 13:12depth perception are very closely
  308. 13:15linked.
  309. 13:16So um this means that whenever we are
  310. 13:20putting the head headset headsets on or
  311. 13:25viewing virtual experiences through
  312. 13:27cardboards we are interfering with this
  313. 13:30complex processes
  314. 13:33that are constantly going on in our
  315. 13:35brains and we better understand what it
  316. 13:37is that we're interfering with right to
  317. 13:39create
  318. 13:41control illusions.
  319. 13:44So if some of the depth information is
  320. 13:46missing
  321. 13:48uh then the brain will just make stuff
  322. 13:49up like in this example. Let me click on
  323. 13:52this illusion on this link.
  324. 13:57So it's a very famous illusion. I want
  325. 13:59to ask you
  326. 14:02do you see the dancer spinning clockwise
  327. 14:04or counterclockwise
  328. 14:07or both? People can flip it. So what is
  329. 14:12your experience?
  330. 14:17Let me show it again. So I clearly see
  331. 14:20it as clockwise.
  332. 14:26[Music]

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