0:00:04thank you fame that was a very nice introduction a representation a representation of everything
0:00:11is not quite ready but we're working on it and to do that or anything
0:00:15like that you have to work with people who know things that
0:00:20you are trained with and that is what brings which might topic
0:00:27well in turkish we have the saying a it's an indian be it monkey a
0:00:32prototype
0:00:33emily the tightest
0:00:35used in a person constable themselves from exploring
0:00:39opening every door turning every stone
0:00:42tasting every flavour
0:00:44and
0:00:45maybe wanting to hear every sound that
0:00:47is out there
0:00:48this is saying lovingly
0:00:51but in a critical way we don't necessarily think my keys doing it right
0:00:57here
0:00:58to defend the monkey and i think i mean good company because i think monkeys
0:01:03at home actually listening to talk all day
0:01:07no
0:01:09by of a studying cartography out your medics to be more precise in a second
0:01:15engineering faculty i want to learn about mask because maps are fascinating and i don't
0:01:20think i have to work very few comments you after space speakers showing heartbreak maps
0:01:25are and how people take it personally how that use
0:01:28max to tell stories not only just to find their race this particular piece you're
0:01:33looking at
0:01:34is the matt from fifteen hundred
0:01:37thirty
0:01:38and this person to make the map has nevertheless mediterranean sea yes actually matt
0:01:43becomes
0:01:44the cost of america's
0:01:46he by talking to other say there is particularly fascinating for me because if you
0:01:51actually look
0:01:51for the tinted is not you also find here be dragons here be half man
0:01:55half most of pictures
0:01:57so that maps
0:01:58other lot of
0:01:59but not snaps are very
0:02:01very geometric if you go into the engineering side of it
0:02:05you got geography side of it then it gets into more into an interface where
0:02:10you can tell stories
0:02:13s r
0:02:14i saw three dimensional because the earth these two dimensional
0:02:18obviously a lot of them that is involved in making maps is trying to make
0:02:22something two-dimensional into two dimensional but it is possible to actually don't into such realizations
0:02:27here you see two images that are superimposed like in the cinema
0:02:32actually there is a red and blue filter if you were wearing glasses the mountains
0:02:36would be coming
0:02:37but i didn't have four hundred rent but classes to bring for you
0:02:41so i do this and then fascinated "'cause" the mountain
0:02:44at the pictures the man scenario picture of the mountains the staring at me
0:02:48and it was actually fascinating because it may ask why do we have twice
0:02:55did you say communities this is in
0:02:57it is a single document to drive three d coordinates
0:03:01and to create virtual reality representations because this is inverse of this is closer to
0:03:06the reality it's not as abstract as two dimensional max
0:03:10but the question why twice because this the stressed graphic visualization wrote we it's into
0:03:16other dissidents than what i was trained for i started reading about creation science and
0:03:21biology and a texan or signs i suggesting things such as
0:03:26for example predators actually have a they rise in front
0:03:31and pray have verizon sites
0:03:35first therefore first step
0:03:37a little bit better because speech case
0:03:40and forward vision is very important for them
0:03:42pray on the other hand has their field of vision in a larger which allows
0:03:48them to see motion better because peripheral vision is more sensitive to detecting emotion
0:03:55this moment wouldn't want to me unless i actually that of my conference on my
0:03:59own educational formation and
0:04:02this cover
0:04:03what other people were talking about what other cosine system are talking about
0:04:08well it's very interesting which leads to perception optics in computer vision
0:04:15a very interesting because
0:04:17it's are strongest sense
0:04:19in fact nor assigned this would say forty percent of the brain is busy processing
0:04:24visual input and estimated the usual input comes to ride is
0:04:30the error rate on your is no in a small yellow spot called folder
0:04:35and all four where
0:04:37the photo receptors are organized in every that centre you actually perceived very high resolution
0:04:45these are called congress a certain type of photo receptors
0:04:48and they capture divide
0:04:49longer is the open
0:04:51it's quite fascinating and a close
0:04:53and the roles are more
0:04:55on the peripheral vision which is more sensitive to motion
0:04:58which you can think to
0:05:00pretty and predator story
0:05:02but for fruits
0:05:03the problem is
0:05:05related or i could see that there's a problem that i could relate to is
0:05:10that you're of the data is typically very large we collect immense amounts of data
0:05:15using their brains there's and remote sensing and gps and
0:05:19ground surveys
0:05:21but i two
0:05:22we are very the character differs have always been revisited try to reduce the level
0:05:26of detail reduce what is not relevant
0:05:29so i actually know where people are looking at use but they don't actually perceive
0:05:34because if a person very precisely in the centre can you remove the information and
0:05:40therefore that's or not i can still see you
0:05:44but you're observed
0:05:46so can lower the rest of the image that i don't actually two
0:05:50render
0:05:51and this type this is done in a image and video processing
0:05:57i took it to the stairs the realization and in fact you can gain a
0:06:01lot of
0:06:02computational processing power by doing that can remove ninety six percent of to detect if
0:06:07you know where a person is looking into to space
0:06:11in one example it changes a little bit and i'm not gonna give you the
0:06:15full retail can come to be afterwards
0:06:17so this is called formation in video i mean image processing community and i did
0:06:23this there is typical of a should and them are gaze contingent displays that the
0:06:26peasants like they're
0:06:28it is to first signaling where people are looking so you have an eye tracking
0:06:31would you that is attached to display you know work for persons looking at rendered
0:06:37display based all this knowledge
0:06:40the eye tracking
0:06:42or
0:06:43well i know came to do with something to do with eye tracking also brought
0:06:47me to yet another discipline that is because
0:06:50i checking his cards colouring user experience community
0:06:54it shows where people attend
0:06:56not only that you can do it gaze contingent display but it can also tell
0:07:01where did how they look
0:07:04how often do they look in its current state actually executed task
0:07:09that was yet another discipline that i found myself involved than i started writing other
0:07:14studies but i actually thought of okay this is it innovative your graphic visualization paradigm
0:07:19how tightest it well why don't tiger's eye tracking to test this with usability
0:07:25and c and it's a lot of data and the czech people size very quickly
0:07:30so
0:07:31with my colleagues
0:07:33actually wanted to try whether we could
0:07:35a sequence analysis and that broken into yet another a positive where people actually use
0:07:41the in a
0:07:43sequencing
0:07:44so far this method i'm not first one and not the only one we borrow
0:07:48this method and applied to our user experience the t and could demonstrate that people
0:07:53who have
0:07:55longer experience maps
0:07:56perform better because they are sequences
0:07:59together
0:08:00this is what you see here
0:08:04no one after the eye tracking and user experience that is
0:08:09we also
0:08:11yet another discipline which is related all of this is related
0:08:16cool visual and text
0:08:18we do not exist constant
0:08:20how people ease in with interactive interfaces
0:08:24in this example you see the smallest person was also task using the exact same
0:08:29interface
0:08:30uses five hundred and twenty one seconds
0:08:33and the fastest person uses eleven seconds
0:08:36that is this in the actual difference or this group differences are very important for
0:08:40us to identify so that you can actually make better or more effective not
0:08:46why don't care to make better or more effective
0:08:49i'll bring back to buy low just that little bit
0:08:52and show you a very old man that was actually to do with life and
0:08:56that
0:08:56this is called
0:08:58snowman our goal is not as of snow and it's the with the colour our
0:09:02rate people believe that colour actually was spreading through the air but one particular medical
0:09:08doctor decided to make the map and he starts to put dots and eventually could
0:09:12see a pattern and you could identify that actually came from a certain multiply
0:09:16which is marked there
0:09:17this actually lead to discovery of all
0:09:22the fact that colour did not come from there but it was
0:09:26by water
0:09:28so i'm going to complement and say that interdisciplinary sciences goods processing boundless is goods
0:09:36leaving your conference on reading about things that you don't know and you're not change
0:09:40for
0:09:41is good you can actually lead to a unexpected discoveries and the monkey should be
0:09:48allowed to do that because mike you can potentially come up with new recipes that
0:09:53we didn't think they should
0:09:54b and harassed
0:09:55to have this appetite
0:09:57thank you for a test