Commit d0c5c005 authored by Morgane Flores's avatar Morgane Flores
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Update fitts_law_study.md

parent fce6450e
......@@ -156,7 +156,7 @@ Here are few complementary comments :
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| Professors comments | Additionnal information |
| ------ | ------ |
| "As this exercise is not about programming, I simply used Google Sheet to generate graphs." Argh. Come on! :) [Céline: +1. The fact that you are not programming the experimental software does not mean that you should not script your analysis] Btw, you should apply the checklist for good graphics to https://gitlab.ensimag.fr/floresmo/Mosig-SMPE-2021/-/blob/master/Exercices/Fitt's%20Law/result_test_4.png which one is which ? [Céline: +1 and R would make this easy because a default graph is better ;)] | I didn't coded a real script because I am lacking time recently. I hope I'll be able to have more time for the next exercise. I prefered to focus on the real challenge of this exercise, the analysis of the data and the understanding of the Fitt's Law. Moreover, the study of the (ggplot flipbook)[https://evamaerey.github.io/ggplot_flipbook/ggplot_flipbook_xaringan.html#1] really motivates me to practice R when I'll have the occasion. About the color of the lines on my graphs, I is not written on the graph itself (and I agree it's a pity, so I updated it !) but the information was written just above the graph ;) |
| "As this exercise is not about programming, I simply used Google Sheet to generate graphs." Argh. Come on! :) [Céline: +1. The fact that you are not programming the experimental software does not mean that you should not script your analysis] Btw, you should apply the checklist for good graphics to https://gitlab.ensimag.fr/floresmo/Mosig-SMPE-2021/-/blob/master/Exercices/Fitt's%20Law/result_test_4.png which one is which ? [Céline: +1 and R would make this easy because a default graph is better ;)] | I didn't coded a real script because I am lacking time recently. I hope I'll be able to have more time for the next exercise. I prefered to focus on the real challenge of this exercise, the analysis of the data and the understanding of the Fitt's Law. Moreover, the study of the (ggplot flipbook)[https://evamaerey.github.io/ggplot_flipbook/ggplot_flipbook_xaringan.html#1] really motivates me to practice R when I'll have the occasion. About the color of the lines on my graphs, I is not written on the graph itself (and I agree it's a pity) but the information was written just above the graph ;) |
| "I'm faster at the begining but I also take more time at the end". What's beginning and end ? | Updated, I actualy meant "I'm faster for easy tasks but I also take more time as the difficulty increases" |
| "Cecile takes more time but seems more consistant in her results". So information on the confidence of the estimates would be interesting, right ? It looks like difficulty has no significant effect in her case. | I agree, I did not see that ! I should conduct a real study on the confidence, but from what I can easily say : (1) She have only 4 dots to draw the regression line, it would have been interesting to have a value for ID = 6 ; (2) The experiment was made with 6 trials, It would have been better to have more trials (at least 10) |
| [Céline: "I have a terrible vision, then clicking on a 1px line was hell. My screen may have been to bright, so it was very exhausting for my eyes" + "different width an[d] distance can make the experiment harder / easier, even with the same IDs" -> These are very interesting comments: Vision seems to be the bottleneck for pointing at very small targets. Is this related to you only, or is it the same for everyone?] | We actually saw in the recent Human in the Loop class that human have a mean precision of 0.002mm with a mouse... So I guess the real problem was about vision. Indeed this doesn't relate to me only, it would be interesting to have more data with that parameters and from a lot of different people to understand better the effect of human vision. |
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