WEBVTT 00:00.000 --> 00:09.000 Okay, cool. 00:09.000 --> 00:11.000 All right. 00:11.000 --> 00:13.000 Thank you. 00:13.000 --> 00:17.000 Yeah, so this is an image of performance, live coding performance. 00:17.000 --> 00:21.000 So there's me on stage and there's a projection behind me. 00:21.000 --> 00:24.000 This is a quite typical set up for a live coding performance. 00:24.000 --> 00:33.000 Live coding means that people in this upper performance either write code from scratch or make alterations to existing code that they're using. 00:33.000 --> 00:36.000 Sometimes it's for audio visual composition. 00:36.000 --> 00:39.000 You might have come across algorithms in clubs. 00:39.000 --> 00:52.000 In my case, I tend to do things that are a little bit more for the gallery space and I'm using what I'm going to show today is a little demo of 00:52.000 --> 00:59.000 a look to go privacy extension that I've altered to use during these performances. 00:59.000 --> 01:05.000 And this extension is sort of one element out of many things that I'm exploring here. 01:05.000 --> 01:12.000 So yeah, this is just a close up of the screen where you have a browser being projected on one side. 01:12.000 --> 01:21.000 You have a big corporation search engine and then on the right side is the browser console that I'm using Firefox. 01:21.000 --> 01:28.000 So this is one of the questions that I started asking how current choreographic approach to data tracking human computer interaction look like. 01:28.000 --> 01:34.000 My come with a surprise choreography because I haven't said so yet, but I have a background in dance. 01:34.000 --> 01:40.000 I've been dancing since I'm like five years old about and I'm very passionate about that. 01:40.000 --> 01:44.000 And I sort of even though I studied many other things, there are not dance related. 01:44.000 --> 01:49.000 I've sort of keep on dancing and that really shapes the way I do things within also HCI. 01:50.000 --> 01:53.000 And there's other questions that I started asking the more I was investigating these. 01:53.000 --> 02:01.000 So how could maybe choreography help helping prove transparency in web interfaces? 02:01.000 --> 02:12.000 Is there a role in that space or could it also help people configure resources for people to feel a bit more agency within that space of data tracking? 02:13.000 --> 02:20.000 So it's been a lot so far, so if you just keep these two ideas in mind, there's like data tracking algorithms and choreography. 02:20.000 --> 02:22.000 So what does that actually mean? 02:22.000 --> 02:24.000 choreography. 02:24.000 --> 02:29.000 I'm sure all of you have images of what that could look like in your mind, but this is an example. 02:29.000 --> 02:32.000 Stand up if you're ages between 35 and 44. 02:33.000 --> 02:40.000 Okay, so here we have an understanding of the age group in the room. 02:40.000 --> 02:50.000 Rotate if you're ages between 35 and 44 and you live in Brussels. 02:50.000 --> 02:53.000 Okay, great. 02:53.000 --> 02:56.000 Thank you for performing those movements. 02:56.000 --> 03:03.000 Here we see an example about choreography, so essentially it's notation system for dance. 03:03.000 --> 03:07.000 So it's a way of either writing about movement or documenting movement. 03:07.000 --> 03:09.000 So you just perform the choreography for me. 03:09.000 --> 03:10.000 Thank you for doing that. 03:10.000 --> 03:15.000 But it also means that now I have a bit more sense of the data within these rooms. 03:15.000 --> 03:19.000 So I know that there's a percentage of people who are within a certain age group. 03:19.000 --> 03:24.000 And some very even even smaller percentage of a group that lives in Brussels. 03:24.000 --> 03:28.000 So I think I used these strategies to explain people why data tracking algorithms, 03:28.000 --> 03:32.000 like why they're invasive and like how they connect to personal data. 03:32.000 --> 03:34.000 So these are some of the experiments I do. 03:34.000 --> 03:39.000 And I'm sort of also interested in choreography, and this is a quote by Andrea Le Pecki, 03:39.000 --> 03:48.000 Brazilian scholar based in the US who think about choreography this idea of the society of control. 03:48.000 --> 03:53.000 So how our movements sometimes are dictated and actually thinking about how much freedom 03:53.000 --> 03:54.000 of movement we have. 03:54.000 --> 03:57.000 And I'm sort of curious about these questions. 03:57.000 --> 04:03.000 Online tracking algorithms, I suppose maybe in this space there's more knowledge around that. 04:03.000 --> 04:06.000 Even more than I hold. 04:06.000 --> 04:13.000 I like these definition by tactical tech and organization that also does a lot to helping these 04:13.000 --> 04:14.000 space. 04:14.000 --> 04:18.000 And they say, have you ever read a newspaper and notice the strength of reading it over your shoulder? 04:18.000 --> 04:21.000 I guess this is maybe you can imagine it reading on your phone. 04:21.000 --> 04:26.000 Now, so reading the news online is like having Google, Facebook, or Twitter doing the same thing. 04:26.000 --> 04:29.000 I quite like these. 04:29.000 --> 04:31.000 It puts things in a simple way. 04:31.000 --> 04:35.000 So what I've done so far, I'm on my third year of my PhD. 04:35.000 --> 04:39.000 So I don't have so much time left, but this is what I've done. 04:39.000 --> 04:41.000 And a lot of it is practical. 04:41.000 --> 04:43.000 So I've done workshops with people. 04:43.000 --> 04:48.000 I've developed or continued developing an existing rather extension. 04:48.000 --> 04:49.000 I've done performances. 04:49.000 --> 04:53.000 And I've done a study with a group, a smaller group of people. 04:53.000 --> 04:57.000 workshops mostly happened in the UK, where I'm based. 04:57.000 --> 05:01.000 And people were invited for them, where they were hosted within particular setups. 05:01.000 --> 05:12.000 So it's not really representative of a broad, very broad situation. 05:12.000 --> 05:17.000 But it's been really interesting to understand how people sort of relate to these topics. 05:17.000 --> 05:22.000 So a lot of things that I do are actually pretty analog, so I ask people to think about what 05:22.000 --> 05:25.000 digital, what they're digital ecosystem, what do they use. 05:25.000 --> 05:30.000 And some of them put a lot of effort that even like draw very carefully the logos. 05:30.000 --> 05:37.000 And there's other things that I do, like moving around and having people think about observing 05:37.000 --> 05:43.000 each other's movements, which is essentially what happens in the online space as well. 05:43.000 --> 05:48.000 Obviously, in a different dimension as well. 05:48.000 --> 05:54.000 And sometimes I even have people hack the hack existing websites by changing things using 05:54.000 --> 05:55.000 the web console. 05:55.000 --> 06:02.000 Obviously, this requires a little bit more comfort when it comes to using maybe JavaScript or the web 06:02.000 --> 06:04.000 console etc. 06:04.000 --> 06:12.000 So what I've come to develop using during this time is this vocabulary that I introduce to 06:12.000 --> 06:18.000 people, some of it has more to do with movement and other has to do with analytics or 06:18.000 --> 06:27.000 typical data tracking and user interaction data that is used for data tracking. 06:27.000 --> 06:32.000 And I have people discuss how do they feel about these and what strategies they might want to 06:32.000 --> 06:35.000 come up with to resist data tracking. 06:35.000 --> 06:41.000 And it's quite interesting when you actually have people think about it because a lot of the 06:41.000 --> 06:45.000 people that I've met throughout these years, they have some understanding of data tracking, 06:45.000 --> 06:50.000 but they were never really asked how they feel about it and even more so like what they do 06:50.000 --> 06:53.000 differently in that space. 06:53.000 --> 06:58.000 So here I'm going to go quite quickly because I also want to show you the tool itself on 06:58.000 --> 07:00.000 the browser. 07:00.000 --> 07:04.000 So this is the go-private browser extension. 07:04.000 --> 07:09.000 It works so that it actually blocks tracking from happening. 07:09.000 --> 07:16.000 But the way I'm doing it is that I'm allowing that and I'm showing it in front of an audience or a group of 07:16.000 --> 07:17.000 people. 07:17.000 --> 07:24.000 And I also built my own scripts in JavaScript where I, as part of the narrative of the performance, 07:24.000 --> 07:29.000 I introduce you for elements like fingerprinting or different aspects of data tracking. 07:29.000 --> 07:36.000 So in a way that the extension is a small part of a bigger narrative and experiment around 07:36.000 --> 07:47.000 data and choreography, this is also not connected to the extension, but it was one sort of browser based artwork that 07:47.000 --> 07:48.000 I've done. 07:48.000 --> 07:53.000 You can find it in recording technology that also plays a little bit with this idea of what if we 07:53.000 --> 07:59.000 change the way we perform online and how much with that, these are up to usual tracking. 07:59.000 --> 08:01.000 I've done performances. 08:01.000 --> 08:03.000 It's been four now. 08:03.000 --> 08:07.000 I'm going to skip these for now, but there's actually documentation online. 08:07.000 --> 08:13.000 Here is a little bit about how people have been thinking about it and some feedback I got. 08:13.000 --> 08:20.000 And I quite like how sometimes even this idea of choreography is re-appropriated. 08:20.000 --> 08:23.000 In the way people think about what happened. 08:23.000 --> 08:30.000 For example, revealing the invisible framework behind our movements so that people see this connection. 08:31.000 --> 08:36.000 And for example, decomposing the web into moving and traceable parts. 08:36.000 --> 08:44.000 And I quite like how people felt that, yeah, there are connections between what we do day to day in the physical space and then what happens online. 08:44.000 --> 08:50.000 So it's been really nice and then the latest study I've done was with a smaller group of people and I really wanted to know. 08:50.000 --> 08:59.000 But is it anything changing for people if they spend a little bit longer time with this idea of choreography and data tracking? 08:59.000 --> 09:06.000 So I developed the website with 12 scores that people performed every day and at the end I did an interview with them. 09:06.000 --> 09:11.000 This was five people, all of them based in Europe, but from different backgrounds. 09:11.000 --> 09:17.000 Again, it's not really representative of a large population, but it really helped me understand that. 09:17.000 --> 09:24.000 In fact, they did actually learn different aspects of data tracking and they actually started doing things differently. 09:24.000 --> 09:38.000 So I think there's an opportunity there, but also in thinking of more maybe more creative ways that it's not so much about the jargon or the heavy technology. 09:38.000 --> 09:45.000 This is what I've said that I'm going to lounge. It's already online, but I'm going to lounge as part of an exhibition that makes all those scores available for other people to use. 09:45.000 --> 09:50.000 There's a paper being written about the live coding performance that is going to be creative comments. 09:50.000 --> 09:54.000 And yeah, a little bit more things to come. 09:54.000 --> 10:13.000 So what I'm going to do now quickly is showing you this. 10:13.000 --> 10:36.000 So what I usually do is that in the performances that I have done so far, I have my own scripts on the top that I'm using now Google Chrome and Google Search Engine. 10:36.000 --> 10:42.000 And you can see that obviously there's not much surprise. So what shows here is where we are. 10:42.000 --> 10:51.000 And Dr. Go already makes this information available. So the likelihood of fingerprinting and the web prevalence. 10:51.000 --> 11:06.000 And so I'm going to just try and do another website. 11:06.000 --> 11:34.000 So okay, so this one has a few. So the idea is that there's a metronome and I use the sound of a metronome because it's very common in that training and music training as well. 11:34.000 --> 11:46.000 So it marks a rhythm and there's a lot of the same. Okay, but here you can see like two different trackers, for example. 11:46.000 --> 11:58.000 And obviously it's not it's not perfect. There's maybe different things triggering these, but it gives a sense of like how much track tracking happens within a given session. 11:58.000 --> 12:08.000 And also if you look at these, it's like I barely did anything and it's like quite quite a long list already. 12:08.000 --> 12:20.000 So yeah, it's just an effort of trying to make tangible these algorithms and the same goes for within a performance setting. 12:20.000 --> 12:27.000 This is an example of. 12:27.000 --> 12:38.000 So I'm actually going to it's not loud enough to hear properly, but I'm sort of introducing other other fingerprinting data, for example, and so during the performance, there's different elements that go into it. 12:38.000 --> 12:44.000 So here you can see also my scripts populating the web console and other parts. 12:44.000 --> 12:50.000 So yeah, yeah, and this is how it looks in a. 12:50.000 --> 12:53.000 In a performance space. 12:53.000 --> 13:00.000 So I'm going to finish now just in case there's a second for questions, if not, I'll be around and thank you so much for having. 13:00.000 --> 13:27.000 I heard that before actually. 13:27.000 --> 13:43.000 So I mean, even your life, it's also to me, it sounds regulated. 13:43.000 --> 13:49.000 But I'm trying to in the mind for my research later, improve agency if you. 13:49.000 --> 13:52.000 Well, they're heating systems, there's no one like to be here. 13:52.000 --> 13:54.000 I'm quite interesting. 13:54.000 --> 13:59.000 Did you find ways of making these things? 13:59.000 --> 14:01.000 Yes, we're making it more say. 14:01.000 --> 14:04.000 So people sitting there, they had a feeling the stuff was going on, right? 14:04.000 --> 14:05.000 So that's exactly what they're going to do. 14:05.000 --> 14:08.000 So that rather than them having to think about it, they're confused. 14:08.000 --> 14:10.000 They are just getting better sense of what actually happened. 14:10.000 --> 14:14.000 Yeah, absolutely. 14:14.000 --> 14:16.000 And you did call someone anxiety. 14:16.000 --> 14:20.000 So I think there's also things to consider in terms of, yeah, oh, sorry. 14:20.000 --> 14:24.000 The question was how to make things more. 14:24.000 --> 14:32.000 If I was achieving extra salience for the things that I was, yeah, for these. 14:32.000 --> 14:38.000 So yeah, people did, it was quite rebuilding for them in ways that they're not used to. 14:38.000 --> 14:43.000 So we, a lot of these is quite abstracting people's mind, what the striking mean. 14:43.000 --> 14:51.000 Effectively day to day, people might encounter institutions like an ad comes for after some search they've done or writing something somewhere. 14:51.000 --> 14:57.000 So there's a few things that people recognize, but a lot of it is totally just hidden, right? 14:57.000 --> 15:02.000 So it does bring to the surface and it does bring it in a way that is a lot more sensorial and embodied. 15:02.000 --> 15:07.000 So I think that's been, I think that's important because we are used to, like, if I were, you know, 15:07.000 --> 15:12.000 to stand here behind you and then start following you, it would be awkward, right? 15:12.000 --> 15:17.000 And you immediately sense that we have, like, we've learned so much and already know so much. 15:17.000 --> 15:20.000 But when it comes to these, it's like, oh, gone. 15:20.000 --> 15:23.000 And, right? 15:23.000 --> 15:28.000 So I wanted to explore that side, that for us, it's much more familiar. 15:28.000 --> 15:34.000 And, yeah, and I'm sure, like, this is not, I wanted to start here because it's like, 15:34.000 --> 15:41.000 I think one of these really extreme situations, but we have so much in terms of, like, tracking performance and sports apps. 15:41.000 --> 15:45.000 And, like, there's just so much, or even, I don't know, IoT, like, smart homes through that. 15:45.000 --> 15:52.000 There's, like, so many, like, sensors, constantly capturing data from months and sending it to cloud services and whatnot. 15:52.000 --> 15:58.000 So there's a lot more to be explored in terms of agency in the, all those spaces, for sure. 15:58.000 --> 16:03.000 But anyway, good, you'll show you what a sweet kind of thing. 16:03.000 --> 16:08.000 Yeah. 16:08.000 --> 16:18.000 So, as you mentioned, that, for about 10 or 10 years, what was the word, what was it called? 16:18.000 --> 16:23.000 Yeah. 16:23.000 --> 16:24.000 Yeah. 16:24.000 --> 16:29.000 So the question is whether, what was the demographics and the population of the workshops that people who attended? 16:29.000 --> 16:37.000 It was very different. The starting point, even my own questions, because I sort of, I developed the workshops iteratively. 16:37.000 --> 16:41.000 So every time I learned something and then I would exclude some activities, include new ones. 16:41.000 --> 16:49.000 But I was essentially trying to understand what, how does choreography can be combined with data tracking for the purpose of raising awareness. 16:49.000 --> 16:54.000 And, and, and then, yeah, hopefully help people do something about it if they wish. 16:54.000 --> 17:00.000 So, yeah. So I was trying to get closer to answering that question as I developed workshops. 17:00.000 --> 17:05.000 The groups initially, I think it was more like cultural context. 17:05.000 --> 17:11.000 The one that was more variety was in a center in which people could, like, a day center type of thing. 17:11.000 --> 17:14.000 But all of them people were somewhat open. 17:14.000 --> 17:18.000 It's not like I suddenly arrived at a space and no one was expecting. 17:18.000 --> 17:22.000 So people who attended had some sense of what was going to happen. 17:22.000 --> 17:26.000 So they were somewhat open already to those ideas, which makes a difference. 17:26.000 --> 17:32.000 I think the last study I've done, even though people did opting to do that longitudinal study, 17:32.000 --> 17:39.000 it was maybe the most diverse group, because nothing to do with tech, nothing to do with dance or the arts or anything. 17:39.000 --> 17:42.000 Yeah. 17:42.000 --> 17:47.000 We do have time for more questions. 17:47.000 --> 17:50.000 I've got one, if no one has done this. 17:50.000 --> 17:56.000 You're sort of working within these multi-chart working within the bounds of a browser. 17:56.000 --> 18:02.000 Is it nice to have that sort of restriction imposed on the artistic side of it? 18:02.000 --> 18:06.000 Or would you like to sort of break out of that? 18:06.000 --> 18:16.000 I think at this point I'm curious to, oh yeah, question is, if I want to break the space of the browser or if it's a nice constraint. 18:16.000 --> 18:18.000 It started as a really nice constraint. 18:18.000 --> 18:24.000 I was actually within before these research I was doing live coding performances in the browser. 18:24.000 --> 18:34.000 Just not focusing on data tracking, but connecting, I have, for example, one that connects tango with web pages and things like that. 18:34.000 --> 18:38.000 So I was already very curious with the web. 18:38.000 --> 18:42.000 Also because there's a lot of tension there. 18:42.000 --> 18:44.000 It's very gated. 18:44.000 --> 18:47.000 It's essentially following money. 18:47.000 --> 18:52.000 What we see is just all about who pays for the content to be there. 18:52.000 --> 18:55.000 There's a very interesting space to unpack. 18:55.000 --> 18:57.000 It's very familiar to everyone. 18:57.000 --> 19:02.000 So I like that as an initial communication point with audiences. 19:02.000 --> 19:07.000 If I open, you know, I already said it. 19:07.000 --> 19:11.000 A Google page then it's, everyone will in your audience will recognize that. 19:11.000 --> 19:12.000 And I like that. 19:12.000 --> 19:19.000 But I'm already also starting to get curious about other aspects of another project that I hope to come forward. 19:19.000 --> 19:26.000 Maybe after the PhD has to do with menstruation tracking apps and other more sensitive. 19:26.000 --> 19:29.000 And yeah, or even mental health. 19:29.000 --> 19:34.000 There's so many issues that go into these other spaces that I'd like to talk about. 19:34.000 --> 19:38.000 So, but the browser continues to be a very problematic space. 19:38.000 --> 19:41.000 There's still a lot of space there. 19:41.000 --> 19:46.000 Yeah, I think it's okay. 19:46.000 --> 19:47.000 Thanks.