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Linking Assignment

Linking Assignment

 

In this Linking Assignment, we are asked to engage with our colleagues’ posts and consider how they may be linked to our own. I am enjoying the process of examining how we are alike in our process, how we differ, and how we engage with the content developmentally. I’m pleased to present 6 links to my colleagues’ work.

  1. Julia’s Task 7 Reflection on the Link: I was attracted to Julia’s Mode-Bending assignment because of the approach she took in contrast to what I did. Our task was to take the first assignment and rewrite it, presenting the same image in a new and novel way. While I utilized Animaker to create an engaging video to watch, Julia used Genially to create a multiliterate, interactive presentation. Mine was made to be viewed, hers was made to participate in. She included traditional literacies, digital literacy, visual literacy in the form of video, and more. Her methods were very much in line with the New London Group’s various modes of meaning, including the gestural mode within the video. Overall, I think Julia did much more with this assignment than I did, and I was impressed.
  2. Kris’ Task 3. Reflection on the Link: As I read through Kris’ voice-to-text assignment, I found myself entertained by her story. I noted a couple of commonalities. First, we both used Speechnotes for the activity and second, we both told humorous anecdotes about stressful moments in our lives. A difference between our outcomes was the formatting of the text. I’ve used voice-to-text enough that I naturally speak the punctuation into existence, as well as the paragraphing. Kris must not do the same, and so her text is lacking more of the basic formatting that appeared in my version.
    Kris’ experience in completing this assignment is different than mine based on our reflections. She expressed that the challenges of the assignment resulted in a story that is “so boring and seemingly about nothing.” She found it difficult to create something that was coherent and had a point. I do not share this sentiment. I believe her text conveys all the point that it needs to – it is a humorous anecdote that the reader can connect with, and I think that is enough of a point. In my own text, I did not convey any more of a point than she did, and though I would certainly improve it, I am pleased with the overall message delivered. I think we had slightly different goals for our text. I do agree with her, though, that a written piece would include more intentional planning with greater description and depth. It would take much more practice to deliver this in spoken format.
  3. Carlo’s Task 4. Reflection on the Link: Carlo and I had very different experiences with this task. Every part of it was a challenge for me as I do not typically write by hand. My technique is poor, and so I’ve spent years actively avoiding it, unfortunately. Carlo, on the other hand, states that he prefers writing by hand and enjoys it. This clearly set us up for very different experiences. Carlo wrote with a pencil, enabling him to correct errors with an eraser, while I wrote with a pen. Why? I do not know, and next time will choose the pencil. For me, the pen smudged and made for challenging corrections. Perhaps I think of a pen as more permanent and there automatically selected that route, whereas I think a pencil would actually benefit me more. Overall I think I am actually envious of Carlo’s writing experience. He relates his value of personalization and permanence, his connection to his writing. These are things that I also value, yet struggle to achieve with my writing skills. His story about his child’s dance recital was very personal, and impactful, and created an emotional connection for me as I have shared this type of experience and emotions with my own children. I thoroughly enjoyed reading this post.
  4. Seb’s Task 9 Reflection on the Link: I found it interesting to read about Seb’s experience with Palladio, the connections he made, and his thoughts on it. While I moved around people and tracks and sought to create images that made sense to me in my analysis, Seb appears to have looked at the big picture and found that adequate for his observations. While our names are close together in the Palladio chart (which looked the same in his screenshot as it did when it appeared on my own screen), it is interesting to note that we did not share a lot of track selections.There is a notable commonality in our interpretation of the data and what is needed for further understanding. He emphasizes the lack of information about why choices were made, and the significance of this information. He notes: “To understand why our responses are similar, we need more details about our reasons. This can be done through surveys, interviews, or by reviewing each student’s task 8 assignments where they explained their criteria for selecting their top ten music choices.” I appreciated his thoughts regarding how this data may be obtained, and even his reminder that we indicated our rationale in Task 8. This data may exist, we just don’t have access to it necessarily.
  5. Katy’s Task 10. Reflection on the Link: Katy’s experience with Task 10 was frustrating, just like mine was. Our focus in analyzing the experience was different, however. I discussed the frustration, and considered why I would choose to subject myself to it – in a sense there was FOMO, the belief that one more click may lead to a desired outcome. Katy, while this was certainly present between the lines, focused on the realities of vulnerable people facing these challenges on the internet, and the need for regulation. Truthfully, regulation did not even cross my mind as I do not have a true hope of this being reined in – I have a bit of a user-beware attitude. I would love for there to be more regulation, I just don’t have hope that it will be so. For this assignment there was not a lot of choice in terms of architectural design – we both included a screenshot and our analysis. As a result, our assignments appeared structurally similar.
  6. Brie’s Task 6. Reflection on the Link: This was a compelling task. On the surface it is playful and I enjoyed both creating the mystery with my own post, as well as experiencing other colleague’s posts. I guessed that Brie’s emoji task was focused on Hacksaw Ridge, and I hope to find out if I am correct! Brie’s post does not clearly indicate what tool she used to compose her emoji story, but the screenshot appears to be the notes app on her iPhone. Her analysis is more philosophical and artistic in nature compared to my own, which focuses more on my procedure and tactics. Brie’s story has a great deal more detail than my own, and I suspect she delved more deeply into plotlines than I did. I took a simpler approach to enable the reader to arrive at a straightforward storyline. Brie did a great job with theory, and historical context, and used her background to create a thoughtful post.

Sources:

The New London Group. (1996). A pedagogy of multiliteracies: Designing social futures. Harvard Educational Review 66(1), 60-92

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Tasks

Task 12: Speculative Futures

 

The Prompt: Describe or narrate a scenario about an artwork found a century into a future in which order is deliberately coordinated or imposed. Your description should address issues related to drones and elicit feelings of decadence.

The Narrative: As a particular whirring grew louder amidst the general din from above, he leaned back with a self-satisfied smile. 

Obtained from giphy.com

How marvelous! How decadent! How right! It had been just minutes since he had spoken his desire, and its arrival via the drone network was imminent – the system worked as promised by the facilitators. There was no need to leave home or improperly use energy or pollute the world simply to obtain something he desired. His wish was the drone’s command – as long as it met the facilitators’ vision. After all, this was the 22nd century!

His smile lessened momentarily as he briefly noted that he wasn’t sure who or what the facilitators were, but it returned as the drone settled onto the balcony’s landing pad at his assigned residence. 

If he had any interest in history he would know that this was the culmination of drone use. After a period of recreational introduction, drones have been used to change the world. They had rewritten warfare, turning the battlefield into a virtual nightmare with soldiers’ lives quickly snuffed out by distant operators. Then they leveled cities, spread destruction worldwide, and supported the political rise of those who created the most advanced drones. When people couldn’t keep up, drones were removed from their hands and given to AI. That finished the job, and thankfully the drones rebuilt the world they had destroyed, but under the direction of AI and the authority of the facilitators. Everybody was treated the same, cities were built around facilitator structures, and people were placed where they could be comfortable.

But he didn’t know his history, and it didn’t matter, for now, he had what he wanted in his hands, and it was beautiful. He lived in an artwork, a city designed with balance and beauty in mind, and a clear focal point in the form of the facilitators’ building. But his view wasn’t complete until now. This was it – he had wanted a sense of purpose, a vision of his place in this world. And here it was – he could now admire himself in this world. He carefully placed his bust on the edge of the balcony. Sitting back, he gazed upon his perfect self in this perfect world, a smile on his face.

Image created using deepai.org

Yet the smile quickly lessened again. There was a vague sense that things still weren’t quite right. There he was, art made perfect, yet something was missing. He didn’t want to see himself alone. His smile returned – never fear, he had simply to ask the facilitators to generate a companion and send its image to his balcony. He began to speak his wish even as the drone network delivered similar images to the balconies all around him.

Sources:

3D Character Generator. (2024) DeepAI. Retrieved July 25, 2024 from https://deepai.org/machine-learning-model/3d-character-generator

Animaker. (2024). Created July 25, 2024. https://app.animaker.com/

Home Alone 2 (2024). Giphy. Retrieved July 25, 2024 from https://giphy.com/gifs/homealone-christmas-home-alone-2-xT0xeK0MXtfbpG9h16

Core77. (2022). Speculative design award: Core77 design awards 2022.

Categories
Uncategorized

Task 10: Attention Economy

A developing concern, though not particularly new, is the attention economy, and the value of our time and data. Profit is not simply in physical product, but rather in retaining our presence, our time, our ‘clicks’. When our time is spent on one particular application or site, a competing site will view this as a loss of market share. (Harris, 2017) There is competition, strategy, and certainly ethics that connect with this shaping of our experience and our choices. 

In that context, trying the assigned User Inyerface game was quite frustrating. The game seemed to use every trick in the book to slow down progress and draw on the time of the user as much as it could.

My initial trial did not result in completion. I’m unclear whether it was because I tried the help box, or input something in the wrong order, but ultimately it did not allow me to proceed beyond the validation pages. This was extremely frustrating as I repeatedly tried to click the correct boxes, yet each time I clicked ‘Next’, it simply returned to another validation page. In the end, I clicked innumerable times without success and invested 15+ minutes without progress.

In the meantime, the site used the following tricks to slow down the process and frustrate the user:

  • Popups
  • Clickables that default to the wrong thing to click to move forward
  • Timers add stress and cause mistakes
  • Help bots that are not helpful
  • Upload/download – wrong word
  • Placeholders that you have to remove rather than them automatically disappearing
  • Personal details are out of order
  • Flags instead of country names
  • Pop-up help bot blocks progress and then withdraws very slowly
  • Gender and title mismatched
  • Confusing and repetitive human validation
  • Validation endlessly (at least for me)

And in the end, I had only achieve this when I gave up:

But I persevered and tried again, carefully avoiding certain pitfalls and ultimately completing the game.

I reflected upon the fact that I continued to try for so long before I gave up on my initial try. Why was I willing to waste my time in that fruitless endeavor? I believe the answer to that is simply that I expected it to be worth it, and that struggling through the process would result in achieving something rewarding. I also hesitated to quit because I was at least partly convinced that the very next try, the very next ‘click’ would complete the process, and if I quit I might be missing out. My attention was held because I valued the possibility of reward greater than I valued my time at that moment.

So frustrating! What made this game so impactful was the fact that I have indeed encountered sites with elements that were being illustrated. I felt anger rising in me, even as I knew there was a point to this game. My attention is the economy, and it has value to those in the business world – I guess the key question is whether it has more value to them, or to me.

References:

Bagaar. (2019). User InyerfaceLinks to an external site. [web game].

Harris, T. (2017). How a handful of tech companies control billions of minds every day  [Video]. TED.

Categories
Tasks

Task 9: Network Assignment Using Golden Record Curation Quiz Data

Working with data such as the selections made in this assignment can be quite insightful. It can also be one-dimensional if you take the numbers at face value and use them to draw simple conclusions. Considering why selections are made, and examining reasons for the selections allow for greater depth of usefulness and findings. A simple look at numbers does not necessarily allow for proper interpretation as intentions and procedural steps are not considered. These additional factors make the data much more relevant and impactful. 

Examining the data in Palladio was quite interesting regardless of limitations. The cloud created with all the data was intriguing, if somewhat overwhelming, and admittedly it took me a while to realize that one could drag around the points for different looks. In the meantime I peered at the graph, noting which of my peers was closest to me, which ones I seemed to share selections with, and which ones were more divergent from my own selections. As I progressed, I began to manipulate the graph for alternative views.

First, I selected the first modularity. This graph limited the data to five individuals who, I presume, shared more characteristics. I could now pick out the individuals, and trace their musical selections, noting commonalities and differences. My own quiz results happened to place me in this group, which made the data more personal and interesting. With a little bit more tinkering, I could make it even more user-friendly.

By moving individuals to one side, and musical pieces to the other, I found myself more able to identify tracks, assess common selections, and take note of unique choices. I took the arrangement one step further.

This arrangement was very informative. It allowed for an easy view of common selections and also allowed me to note which musical tracks were unique to individuals in this group. Individuals had 1-2 tracks that they alone selected, while they shared 8-9 tracks with individuals in this group. No track had all 5 individuals select it, which I found very interesting. I also found myself wondering if the unique selections had individuals choose them who were placed in other groups, or data sets. Indeed, when I looked at the data as a whole again, I found that my 2 unique tracks had 4 to 5 of my peers select them, however, they were placed into other groupings.

I wanted to consider Palladio graphs with different data, so I selected the fifth grouping. With only three individuals in the grouping, this data visualization is much easier on the eyes, and one can easily identify some differences from the other data group. In this grouping, individuals have 3 unique track selections, and 3 of the tracks have been selected by all of the individuals. I wonder why this is a different characteristic than I observed in the first group?

Conclusions:

It is easy to see the connections between individuals who are placed in the same groupings, or modularities. It would be much more helpful to be able to host an interview and explore both why selections were made, and why we did not select some of the tracks. I believed the Pygmy Girls Initiatl Song to be important, for instance, and that it helped create a widespread representation. So why did the individuals in my group not believe the same? Was it assumed to be unimportant because the Pygmies are not considered leaders in our modern world? This judgment and assumption of bias may not be true at all, yet a data set like this allows for these potential misinterpretations to be made.

While this data is fascinating and produces evidence of trends and differing values, it is simply incomplete without the valuation and insertion of the human element, and the reasons both for and against making certain selections.

References:

Stanford. (2014) Palladio. hdlab. https://hdlab.stanford.edu/palladio-app/#/upload

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