0 00:00:00,000 --> 00:00:30,000 This subtitle is not finished yet. If you are able to, please support us and watch the talk in amara for the last changes: https://c3subtitles.de/talk/2040 Thanks! 1 00:00:00,299 --> 00:00:05,610 Herald: Hello, and welcome back to the FM- channel. Our next speaker is Kai Konsa. 2 00:00:05,610 --> 00:00:11,340 He's a professor at the Graduate School of Media Design at Cairo University Japan. 3 00:00:11,340 --> 00:00:15,870 His talk will be about focus on Wirfs. From what I understood is that it's about 4 00:00:15,870 --> 00:00:20,930 shivers and goosebumps in media performances that are usually spontaneous. 5 00:00:20,930 --> 00:00:27,140 But somehow he and his team managed to induce them artificially. But I'm very 6 00:00:27,140 --> 00:00:33,560 forward. I'm looking very forward to this talk as I don't really understand it. But 7 00:00:33,560 --> 00:00:40,520 now, if you want to ask questions in the end, RC at the Channel rc3-fm in the 8 00:00:40,520 --> 00:00:46,129 rocket chat at the Channel FM and on Twitter, and the videos and the hashtag 9 00:00:46,129 --> 00:00:51,210 3FM without the Dash, you can ask questions that will be answered in the Q&A 10 00:00:51,210 --> 00:00:53,790 session afterwards. *repated but on english* 11 00:00:53,790 --> 00:00:58,590 Allardyce parking Seotioa your current idea that some 200 images of a player for 12 00:00:58,590 --> 00:01:04,830 native of translated and that and now I'm looking forward to a hopefully very 13 00:01:04,830 --> 00:01:09,770 interesting talk. Konsa: Hello and welcome to my talk 14 00:01:09,770 --> 00:01:16,630 "Frisson Waves", augmenting esthetic chills in classical music performances. 15 00:01:16,630 --> 00:01:25,830 This is conceptual, early research work from collaboration of a lot of artists, 16 00:01:25,830 --> 00:01:33,799 designers, researchers, and I'm just speaker to introduce it to you a little 17 00:01:33,799 --> 00:01:39,729 bit. My name is Kai. And in the next 20 minutes, I will talk to you a little bit 18 00:01:39,729 --> 00:01:46,580 about what is Frisson. Give you a bit of motivation and background information, why 19 00:01:46,580 --> 00:01:55,320 we are interested in this feeling. And then I will talk about how can we 20 00:01:55,320 --> 00:02:03,380 recognize into youth and also share Frisson. And then at the end, I'll talk 21 00:02:03,380 --> 00:02:11,620 about some conclusion and a little bit of outlook. So the question is, what is 22 00:02:11,620 --> 00:02:18,480 Frisson? You might not have heard the term, I actually haven't heard Frisson 23 00:02:18,480 --> 00:02:25,840 before we started the research. Two and a half years, three years ago. But I 24 00:02:25,840 --> 00:02:31,849 definitely knew the feeling. So if you're listening attentively to a musical piece, 25 00:02:31,849 --> 00:02:39,480 sometimes you might get goose bumps or some shiver down your spine. And that is 26 00:02:39,480 --> 00:02:46,650 usually triggered from the music. Frisson is from the French shivers and sorry, my 27 00:02:46,650 --> 00:02:55,800 pronunciation with the German accent. So you applied for that, I hope. And it's 28 00:02:55,800 --> 00:03:01,849 this psycho physiological phenomenon, that we feel when we get these goose bumps or 29 00:03:01,849 --> 00:03:11,519 shivers that are triggered from music, but also other. If you insist and you might 30 00:03:11,519 --> 00:03:20,610 wonder why goosebumps, how can goosebumps be related to a positive feeling? There is 31 00:03:20,610 --> 00:03:32,819 actually no need to answer theories. I'm one that I particularly like, is that 32 00:03:32,819 --> 00:03:37,319 Frisson is often induced over music or over some kind of stimulus that is 33 00:03:37,319 --> 00:03:42,361 repetitive, that has a certain pattern, and that at one point the pattern breaks 34 00:03:42,361 --> 00:03:50,629 and that surprises you. So this triggers your autonomous nervous system. So the 35 00:03:50,629 --> 00:03:56,099 fight or flight response you get to surprise you wonder alertness goes up and 36 00:03:56,099 --> 00:04:03,370 you realize that there's no danger and you will relax. And feel this esthetic chills. 37 00:04:03,370 --> 00:04:13,349 So the talk, I will give today is an exploration of the feeling of Frisson with 38 00:04:13,349 --> 00:04:21,500 technology. So how could we detect, induce or transmit it using especially variable 39 00:04:21,500 --> 00:04:26,419 sensors and actuators and to be a little bit aclimactic? I can already tell you 40 00:04:26,419 --> 00:04:33,340 that this is still in process. So this is really exploratory work. However, you 41 00:04:33,340 --> 00:04:42,540 might also wonder why do you care about this? Why do you want to do this? And you 42 00:04:42,540 --> 00:04:48,880 know, one reason, of course, is. Because we can and because it's fun, and I think 43 00:04:48,880 --> 00:04:55,510 that's definitely, you know, kind of one aspect of of the research, however. Also 44 00:04:55,510 --> 00:05:02,509 another reason is so our lab in Yokohama works in human factors, research, so HCI 45 00:05:02,509 --> 00:05:09,130 and human computer interaction. And we lately revisited a lot of work also from 46 00:05:09,130 --> 00:05:16,550 cybernetics, also nonlinear dynamics in terms of research and also in terms of art 47 00:05:16,550 --> 00:05:22,550 and performance. We are very much inspired by Stilnox work on extending and 48 00:05:22,550 --> 00:05:31,430 augmenting our body. And there's this realization, if you work on research that, 49 00:05:31,430 --> 00:05:35,560 you know, knowledge is not merely functional, there's always some kind of 50 00:05:35,560 --> 00:05:42,650 enjoyment in understanding a concept. And I think also this community will really 51 00:05:42,650 --> 00:05:47,880 understand that type of feeling and this sense of wonder and this feeling we also 52 00:05:47,880 --> 00:05:53,760 want to explore. We want to understand ourselves better in terms of cognition 53 00:05:53,760 --> 00:06:00,660 perception, but also in terms of our feeling. And actually, last year, I gave 54 00:06:00,660 --> 00:06:06,960 also a talk on on boiling mind on an Frisson loop that we played with and 55 00:06:06,960 --> 00:06:12,460 started researching on. And to some extent, this expression. If this all beef 56 00:06:12,460 --> 00:06:17,400 talk is just the continuation of this, and overall, we are also looking for more 57 00:06:17,400 --> 00:06:23,880 creative ways to use physiological data or other wearable computing sensing that is 58 00:06:23,880 --> 00:06:33,000 not related to surveillance. So extended to this, we also wonder what does it mean 59 00:06:33,000 --> 00:06:40,449 to be life? It's easy if you think about transmitting audio video, easy in 60 00:06:40,449 --> 00:06:45,490 quotation marks because yeah, there are some experts that know a lot about that. 61 00:06:45,490 --> 00:06:53,220 And I see also the effort that goes into the remote experience and not the 62 00:06:53,220 --> 00:06:59,430 congresses or conferences. However, we still don't know how to transmit an 63 00:06:59,430 --> 00:07:05,250 atmosphere or a feeling that's much more difficult. I think the Congress is a very 64 00:07:05,250 --> 00:07:11,430 nice example for that because it moved from Berlin to Hamburg to Leipzig. But 65 00:07:11,430 --> 00:07:17,139 every time I visited, I kind of felt at home. I felt, Oh yeah, these are, you 66 00:07:17,139 --> 00:07:23,319 know, kind of the people I like. These are the culture, the community I belong to, 67 00:07:23,319 --> 00:07:29,050 even though it's at different places. And we wonder, you know, kind of how can we 68 00:07:29,050 --> 00:07:36,569 transmit at this type of feeling and to efforts that we get inspired from from 69 00:07:36,569 --> 00:07:42,340 this work is one is neuro life. That's a project, an EU project with co- 70 00:07:42,340 --> 00:07:50,330 investigator Jamie Ward and also cybernetic being project here in Japan, 71 00:07:50,330 --> 00:07:56,560 headed by Quarterman Minami. So that deals with things like parallel agency and 72 00:07:56,560 --> 00:08:01,259 similar. And both of them are actually also collaborators in the work that I will 73 00:08:01,259 --> 00:08:07,630 present today. So this is the high level overview why we are interested in this 74 00:08:07,630 --> 00:08:14,710 song, but now getting back to the esthetic chills. And first, the question is how 75 00:08:14,710 --> 00:08:22,620 could we go about and try to detect or recognize them? Looking into related work, 76 00:08:22,620 --> 00:08:29,800 of course, we'll see Frisson is that chills, of course, affect our physiology. 77 00:08:29,800 --> 00:08:35,090 And the first thing that you notice is, of course, the payload erection. So the goose 78 00:08:35,090 --> 00:08:40,710 bumps that you can get on your arm so the hairs go up. So we could try to detect 79 00:08:40,710 --> 00:08:44,990 that. However, that might be a little bit difficult because some people might not 80 00:08:44,990 --> 00:08:53,690 have so much hair on on them and so on. So then looking into other physiological 81 00:08:53,690 --> 00:09:00,940 changes, respiratory rate is going up for the sweat glands, electro dermal activity. 82 00:09:00,940 --> 00:09:05,690 You will see more peaks. That's a stress and excitement indicator, and heart rate 83 00:09:05,690 --> 00:09:10,890 goes up, blood pressure goes up and usually heart rate variability related 84 00:09:10,890 --> 00:09:17,209 features go down. Because also, if you saw last year's talk, we already built a 85 00:09:17,209 --> 00:09:25,329 system to record electro dermal activity. So the sweating on the hand as well as 86 00:09:25,329 --> 00:09:34,050 heart rate we just thought will move along and use that. Luckily, we also did a 87 00:09:34,050 --> 00:09:38,760 redesign of the wristband bands in the meantime, so they look a little bit nicer 88 00:09:38,760 --> 00:09:45,260 now and you see also a life demo on my background right now. So you see EDA and 89 00:09:45,260 --> 00:09:54,300 heart rate behind and if I press here. You should also see some noise on the sensor. 90 00:09:54,300 --> 00:10:03,149 The visualization, by the way, is done by Kirill Ragodzin. So thanks for the work! 91 00:10:03,149 --> 00:10:08,990 And then moving forward, so we use these wristbands to set up a controlled 92 00:10:08,990 --> 00:10:14,810 experiment to detect esthetic chill events. We just added a trigger, so to add 93 00:10:14,810 --> 00:10:19,620 some self-reporting to it. So in this case, we really use the user as a self- 94 00:10:19,620 --> 00:10:27,470 report to classify or to label the Frisson events that has, of course, you know, also 95 00:10:27,470 --> 00:10:33,520 some limitations. So you hope that that's good enough to capture it. And we used 96 00:10:33,520 --> 00:10:39,740 some music pieces also from related work and did some counterbalancing and run this 97 00:10:39,740 --> 00:10:48,700 lab study just in know kind of controlled space or with headphones and so on. We 98 00:10:48,700 --> 00:10:54,640 finished this, but then we also wondered, you know, how does it look like in real 99 00:10:54,640 --> 00:11:02,560 life in the wild experiments? So we also organized a concert. With 18 audience 100 00:11:02,560 --> 00:11:08,800 members for one album musical program, and the set up was the same, so everybody got 101 00:11:08,800 --> 00:11:15,620 a wristband and a trigger. We also added a third for the pianist, so using EDA from 102 00:11:15,620 --> 00:11:23,470 the foot actually works also relatively well and then recorded here the data and 103 00:11:23,470 --> 00:11:35,829 hope that people would report their focus on their esthetic chills. Here's now one 104 00:11:35,829 --> 00:12:32,310 video. A short minute video that shows you the recording. *piano music* How about the 105 00:12:32,310 --> 00:12:39,400 analysis? I have to see? I'm sorry the this is still ongoing, so we don't really 106 00:12:39,400 --> 00:12:43,710 have a lot of results yet. And of course, there were a lot of issues with the life 107 00:12:43,710 --> 00:12:48,810 recording. If you're interested in doing something similar, contact some of the 108 00:12:48,810 --> 00:12:54,810 technical stuff or also me. We can give you hints and doing this now over 15 or 20 109 00:12:54,810 --> 00:13:00,300 years and always do something is going wrong, depending on the setting and so on. 110 00:13:00,300 --> 00:13:05,490 Now I also know more about the classical music concerts. However, we got some 111 00:13:05,490 --> 00:13:11,000 useful data. The problem there was we could also train a machine learning model 112 00:13:11,000 --> 00:13:16,010 because we really wanted to dect it real time. And it seemed to work really well. 113 00:13:16,010 --> 00:13:22,520 We are just still not sure if it really works or not, so we want to be very 114 00:13:22,520 --> 00:13:26,410 careful about that. So we get higher accuracy spec. But given the limited 115 00:13:26,410 --> 00:13:31,800 amount of uses we had also and we want to look into that a little bit more. However, 116 00:13:31,800 --> 00:13:36,220 the analysis, as well as the data sets, will be publicly available. And if you 117 00:13:36,220 --> 00:13:41,279 want to get them a little bit earlier to also contact me. So then moving on, this 118 00:13:41,279 --> 00:13:46,940 is the progress on detection. How does it look like for triggering or inducing 119 00:13:46,940 --> 00:13:55,899 Frisson? So there's also a lot of cool related work. I just show or highlight two 120 00:13:55,899 --> 00:14:03,350 of them. One is work by Shoko Fukushima at all. And they're using the electrostatic 121 00:14:03,350 --> 00:14:12,250 effect on the arm to control payload erection. And they use it to increase the 122 00:14:12,250 --> 00:14:17,670 surprise feeling of somebody, so you put your arm inside and they can control the 123 00:14:17,670 --> 00:14:24,060 payload erection. Other work is from Ha at all, whether using three Peltier elements 124 00:14:24,060 --> 00:14:31,550 on your back, on your spine and deactivate them upwards to also induce Frisson or 125 00:14:31,550 --> 00:14:39,610 static chills. The problem with those two setups, it's quite hard to get them into a 126 00:14:39,610 --> 00:14:44,190 into a concert hall. And, you know, some people might not really have much hair on 127 00:14:44,190 --> 00:14:49,699 their arms or so on, so there might be limitations for it. So then, you know, for 128 00:14:49,699 --> 00:14:56,009 first iteration, we decided to go for a neck prototype, because kind of the neck 129 00:14:56,009 --> 00:15:02,620 is also a part of some of the Frisson responses. So you get either chills down 130 00:15:02,620 --> 00:15:08,509 the spine or up the neck or also your hair might stand up. So we thought it's a good 131 00:15:08,509 --> 00:15:12,630 start and we used first healthy elements or thermal modules and also vibrant 132 00:15:12,630 --> 00:15:18,350 tactile feedback. In later iterations we moved just to a thermal feedback to 133 00:15:18,350 --> 00:15:25,009 activate this on the back of the neck around on the upper side of the trapezius 134 00:15:25,009 --> 00:15:32,260 muscle, and they would activate with slight cold feedback. So for an initial 135 00:15:32,260 --> 00:15:37,940 tests, it seemed to work or just this, just with 10 participants, around 30 136 00:15:37,940 --> 00:15:44,380 minutes per participant, we had two music pieces that are based on related works or 137 00:15:44,380 --> 00:15:51,080 Chopin and Gustav Holst. We counterbalance the conditions or music pieces with 138 00:15:51,080 --> 00:15:56,880 neckband without neck bent with neck bent, with activation and without activation. 139 00:15:56,880 --> 00:16:03,570 And from an initial test, we can see that it seems that slight cold feedback really 140 00:16:03,570 --> 00:16:09,010 provides more instances of reported Frisson. So there is a slight positive 141 00:16:09,010 --> 00:16:12,139 feedback, but you know, it was still quite little participants and we'll have to 142 00:16:12,139 --> 00:16:17,750 continue and see also with a little bit of redesign. So we want to change the order 143 00:16:17,750 --> 00:16:25,130 and placement of the pelty elements for the continuation work as well. Now moving 144 00:16:25,130 --> 00:16:30,650 to the last part, so we talked about detection, induction, and now let's talk 145 00:16:30,650 --> 00:16:37,880 about sharing or transmitting Frisson. He had the idea would be, you know, you are 146 00:16:37,880 --> 00:16:45,199 listening to a musical piece, a classical piece and one person gets Frisson, does 147 00:16:45,199 --> 00:16:52,230 this detect it over the wristband and then it's distributed ripples through the 148 00:16:52,230 --> 00:17:00,670 neighbors? They get activated over the Nick Bend and hopefully also free Frisson 149 00:17:00,670 --> 00:17:08,309 again around the same time it just after the red circled person felt that the 150 00:17:08,309 --> 00:17:13,199 esthetic chills. So in this case, then, you know, we would have all of the 151 00:17:13,199 --> 00:17:18,309 audience members need to wear sensors and actuators, and we would need to freshen 152 00:17:18,309 --> 00:17:27,530 detection and also then the activation based on that. And for that, we also 153 00:17:27,530 --> 00:17:33,700 organized a not a concert in this case, 50 audience members. The program was around 154 00:17:33,700 --> 00:17:43,270 1,5 hours. And the set up was, as you see here. So performers on the top, and then 155 00:17:43,270 --> 00:17:51,340 we had two sections. One saw 25 users would wear just the wristband as a kind of 156 00:17:51,340 --> 00:17:58,360 control group. And the second group, 25 users would wear wristband and neck bent, 157 00:17:58,360 --> 00:18:02,929 so it would get to actually the detection and also the activation. That's all, you 158 00:18:02,929 --> 00:18:10,180 know, 50 plus wristbands needed charging and 25 neck bands were manufactured, and 159 00:18:10,180 --> 00:18:18,000 this is the picture from the actual concert with an nick bent section. And 160 00:18:18,000 --> 00:18:22,640 here is how this should work, so, you know, you have first one person, you 161 00:18:22,640 --> 00:18:29,960 detect the Frisson and then you ripple it out to the neighbors, then the next person 162 00:18:29,960 --> 00:18:34,710 might feel Frisson we detected over the wristband and then replay it out to the 163 00:18:34,710 --> 00:18:40,680 other people that haven't gotten activation yet and so on. So you have then 164 00:18:40,680 --> 00:18:50,559 a wave of Frisson hopefully moving through the audience members. This is not a setup 165 00:18:50,559 --> 00:18:54,720 up, yab he (NAME!) who also did a lot of the organization parts or so on at the 166 00:18:54,720 --> 00:19:02,630 piano, and he is then a small video that summarizes the work. And at the end you 167 00:19:02,630 --> 00:19:08,090 see also the servers, the recording server, the activation server and the I 168 00:19:08,090 --> 00:19:38,100 know the detection server and also the activation server. *piano music playes* 169 00:19:38,100 --> 00:20:25,070 *one person plays piano, another plays chello* So the question you might have 170 00:20:25,070 --> 00:20:35,140 now, did it work? Hmm. Not not completely sure. Again, here, work in progress or 171 00:20:35,140 --> 00:20:39,870 analysis is ongoing, and we can't also really see because, yeah, we had this 172 00:20:39,870 --> 00:20:44,890 control group and we could see more Frisson events in the sharing group. But 173 00:20:44,890 --> 00:20:49,460 how to interpret that, that's really, really difficult. We are also working on 174 00:20:49,460 --> 00:20:54,049 the design of the wristbands as well as the neckband and especially for the 175 00:20:54,049 --> 00:20:59,570 neckband. We got a couple of uses, I think five or six or seven that really didn't 176 00:20:59,570 --> 00:21:05,909 like the neckband, not the activations or the slight called activation was OK, but 177 00:21:05,909 --> 00:21:10,870 just because it was a little bit too tight and a little bit too uncomfortable. So 178 00:21:10,870 --> 00:21:16,049 we're working on a redesign we have for the next concert in april. All of the data 179 00:21:16,049 --> 00:21:23,130 make it also publicly available. Soon enough, look also a little bit more what 180 00:21:23,130 --> 00:21:27,880 we can find out about what happened. This brings me to the end of the presentation. 181 00:21:27,880 --> 00:21:34,590 I hope you enjoyed it. Yeah, I just wanted to thank a couple of people first and 182 00:21:34,590 --> 00:21:44,370 foremost Yann He, who organized this Frisson , who introduced us. And also the 183 00:21:44,370 --> 00:21:49,180 teams are dismissed for their second concert. The extended team thanks a lot 184 00:21:49,180 --> 00:21:54,720 for everybody who was involved here, then also all of the names. So these are the 185 00:21:54,720 --> 00:21:58,750 people that did the actual work did not just doing the presenting like I do right 186 00:21:58,750 --> 00:22:04,980 now. I hope I haven't missed anybody. So also, thanks to George, Dingding, Denny 187 00:22:04,980 --> 00:22:10,470 and so on and all of the other people involved in group planning the studio 188 00:22:10,470 --> 00:22:19,529 Apollo and also the piano NIST's and interactive performers. So thanks a lot. 189 00:22:19,529 --> 00:22:27,270 Yeah, that brings me to the end of the presentation. As I said, we have a third 190 00:22:27,270 --> 00:22:31,320 concert, probably in April next year in Yokohama, Tokyo area. So if you're 191 00:22:31,320 --> 00:22:36,670 interested, let me know also if you have a general interest in effect or similar 192 00:22:36,670 --> 00:22:43,400 phenomenon. Also, just write me an email. It would be good if you mentioned Frisson 193 00:22:43,400 --> 00:22:49,750 remote experience in the subject, so I can just filter that out and something 194 00:22:49,750 --> 00:22:54,820 completely different. We also have a conference next year. March submission 195 00:22:54,820 --> 00:23:01,110 deadline is January 7th, augmented humans in Japan and Germany and cyberspace that 196 00:23:01,110 --> 00:23:11,419 deals with maybe similar work. So thanks a lot for listening and I hope. Yeah, I told 197 00:23:11,419 --> 00:23:16,850 you something interested in the last 20 minutes. By. 198 00:23:16,850 --> 00:23:21,620 Herald: Hello, and welcome back to the FM Channel, thank you Kay for the very 199 00:23:21,620 --> 00:23:25,400 interesting talk, and Kay should actually be with us to answer a few questions. 200 00:23:25,400 --> 00:23:27,400 Hello, Kay. Kay: Hello. 201 00:23:27,400 --> 00:23:33,210 Herald: And we actually do have a few questions already. And the first one 202 00:23:33,210 --> 00:23:39,279 sounds a bit more like a comment, but I tell you anyway. So one one viewer noted 203 00:23:39,279 --> 00:23:42,960 that this a technical cybernetics and systems course here in Illmenau, the two 204 00:23:42,960 --> 00:23:46,980 in the know and wanted to know if you were aware of this already. 205 00:23:46,980 --> 00:23:53,881 Kay: Actually, it wasn't, but it sounds that sounds quite fun and getting more and 206 00:23:53,881 --> 00:23:57,762 more interested in cybernetics as well. And I think it's useful to revisit some of 207 00:23:57,762 --> 00:24:03,730 the ideas around feedback loops, as I said at the beginning. So that's cool if you if 208 00:24:03,730 --> 00:24:08,000 you're already looking into that. And I think especially if people go into HCI 209 00:24:08,000 --> 00:24:12,240 fields, I think it's quite useful to get a little bit of that background. 210 00:24:12,240 --> 00:24:17,809 Herald: Yes, nice. OK, let's go to the next question. It's about neural networks, 211 00:24:17,809 --> 00:24:22,620 which have the neural network was us. Have you considered neural net different doing 212 00:24:22,620 --> 00:24:27,240 differential equations such as echo-state network or reservoir computing, which are 213 00:24:27,240 --> 00:24:30,490 good when modeling stiff time consciousness processes? 214 00:24:30,490 --> 00:24:37,039 Kay: That's actually a really good question and actually also good hint for 215 00:24:37,039 --> 00:24:42,460 what to do next. I just tried to look up. I saw the question already. Also in the 216 00:24:42,460 --> 00:24:47,200 chat, I try to look up what we used, and I think at the beginning we just used 217 00:24:47,200 --> 00:24:52,149 support vector machines, so not neural networks. And no, no, we are using some 218 00:24:52,149 --> 00:24:57,940 neural network, but I don't know the configuration and I couldn't check. I'll 219 00:24:57,940 --> 00:25:03,480 get back to the person who asked the question. What was interesting for me was 220 00:25:03,480 --> 00:25:08,559 that the the data looks already quite good. The sensor data looks actually quite 221 00:25:08,559 --> 00:25:15,610 good. And I would assume that in most cases, any classifier will do a decent job 222 00:25:15,610 --> 00:25:21,760 for the lab experiments for the other works. I think, yeah, that sounds quite 223 00:25:21,760 --> 00:25:29,000 interesting. I also want to go more towards, um yeah, nonlinear dynamics work 224 00:25:29,000 --> 00:25:35,700 as well in terms of of of estimating Frisson or different feelings. But that's 225 00:25:35,700 --> 00:25:41,140 that's a really good hint, that it would be more question also for Jo Ann Hunt, 226 00:25:41,140 --> 00:25:47,340 coauthor of the paper that is also linked. She is our data analyst and so on, and 227 00:25:47,340 --> 00:25:51,909 notes what what she used to the first classifier was a support vector machine 228 00:25:51,909 --> 00:25:56,130 fairly basic and I think recently we use a neural network, but I thought it's just 229 00:25:56,130 --> 00:26:01,810 very straightforward. PyTorch long training, but nothing, nothing special and 230 00:26:01,810 --> 00:26:06,020 nothing fancy so far. Herald: OK, nice, I guess I guess she will 231 00:26:06,020 --> 00:26:10,330 probably also hear from the questions then. And then let's go to the next 232 00:26:10,330 --> 00:26:15,620 question. Have you considered or tested the effects of editorial stimulus, such as 233 00:26:15,620 --> 00:26:20,890 attempting to cross Frisson Waves and in boring situations instead of like 234 00:26:20,890 --> 00:26:29,980 interesting ones? Kay: That's also quite a good or 235 00:26:29,980 --> 00:26:35,000 interesting question. I mean, there were some some audience members also that 236 00:26:35,000 --> 00:26:41,059 mentioned that Nick Bend was actually a little bit uncomfortable. So I'm not 237 00:26:41,059 --> 00:26:47,120 really sure if we cost Frisson with them. And I don't know what would happen if you, 238 00:26:47,120 --> 00:26:53,320 I think you probably would just make the situation uncomfortable anyways. I'm not 239 00:26:53,320 --> 00:27:00,710 sure what would happen then, if you stimulating called feedback. Actually, you 240 00:27:00,710 --> 00:27:05,710 might get the fear response in these cases if you're in a boring situation, I'm not 241 00:27:05,710 --> 00:27:12,909 sure if you if you. Hmm. Yeah, I actually I don't know. It's definitely an 242 00:27:12,909 --> 00:27:21,240 interesting idea to to use it in boring situations. Can you get somebody to change 243 00:27:21,240 --> 00:27:28,740 their? The feeling and get to the more excited state? We are playing often, we 244 00:27:28,740 --> 00:27:32,630 played a little bit with the thermal feedback and it was always interesting if 245 00:27:32,630 --> 00:27:37,450 you change the thermal feedback. So instead of if you see something hot in VR, 246 00:27:37,450 --> 00:27:42,230 you give cold stimulus or so on. It really is a little bit confusing and interesting. 247 00:27:42,230 --> 00:27:49,279 I haven't thought about that in Frisson situation. And if it works for boring 248 00:27:49,279 --> 00:27:53,480 work, but it's definitely cool or interesting. So if somebody wants to play 249 00:27:53,480 --> 00:27:58,850 with that, I would be up for also giving a little bit of help or ideas in that 250 00:27:58,850 --> 00:28:04,130 direction. Herald: OK, thank you for. For answering 251 00:28:04,130 --> 00:28:11,809 these questions, unfortunately, that don't seem to be any more of them. So that's it. 252 00:28:11,809 --> 00:28:16,260 Thank you very much for the very interesting talk. That's a topic I haven't 253 00:28:16,260 --> 00:28:22,040 really thinking that much about, but thank you very much. It was very interesting. 254 00:28:22,040 --> 00:28:26,340 Kay: Thanks a lot also for having me, and it's always fun and I always enjoyed the 255 00:28:26,340 --> 00:28:30,940 feedback. Yet there's also a candlelight life demonstration behind me. So you saw 256 00:28:30,940 --> 00:28:34,539 my excitement level kind of increasing or decreasing with the questions. 257 00:28:34,539 --> 00:28:38,680 Herald: Oh wow, that's pretty cool. Kay: OK. Yeah, thanks a lot. 258 00:28:38,680 --> 00:28:46,540 Herald: Then here and here on the FM channel, the next thing happening will at 259 00:28:46,540 --> 00:28:51,010 11:00 p.m. the lightening think talk or not on the film channel. But one of the 260 00:28:51,010 --> 00:28:56,059 next things happening at three will be at 11:00 p.m. The lightning talks at remote 261 00:28:56,059 --> 00:29:02,210 range. And here on on our channel, actually at 12:00 a.m. or midnight, there 262 00:29:02,210 --> 00:29:07,040 will be the next terror news show. And that until then by. 263 00:29:07,040 --> 00:29:15,000 Subtitles created by many many volunteers and the c3subtitles.de team. Join us, and help us!