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Field
Experimental Design (Public)
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Before
Job seekers are divided into 6 groups of equal size. Two elements vary between these groups: (1) the perceived source of the recommendations (3 possible conditions) and (2) the display of additional information accompanying the recommendations (4 possible conditions).
The three alternatives regarding the perceived source of recommendations are:
- "Machine source": Recommendations are framed as coming from an artificial intelligence algorithm
- "Human source": Recommendations are framed as coming from a (human) labor market expert
- "Neutral source": Recommendations are not framed as coming from a particular source
The four alternative regarding the recommendations framing are:
- "Global explanation": explains to job seekers the overall functioning of the algorithm
- "Performance": emphasizes the performance level of the algorithm
- "Human in the loop" : highlights the fact that the algorithm was co-constructed with job seekers
- "Control": no particular framing
The 6 treatment groups are (Source x Framing) :
* 1: Machine source x Control
* 2: Machine source x Global explanation
* 3: Machine source x Performance
* 4: Machine source x Human in the loop
* 5: Human source x Control
* 6: Neutral source x Control
*** Preview links:
Treatment 2: https://www.dropbox.com/s/5ut0uh0gwuf9jf7/Projet%20aversion%20-%20version%20explication%20globale.mov?dl=0
Treatment 3: https://www.dropbox.com/s/uemfvw4dm37lrng/Projet%20aversion%20-%20version%20performance.mov?dl=0
Treatment 4: https://www.dropbox.com/s/j2rro7efgk0kmte/Projet%20aversion%20-%20version%20feedback.mov?dl=0
Treatment 5: https://www.dropbox.com/s/3qfwaqfmpazits1/Projet%20aversion%20-%20version%20expert.mov?dl=0
Treatment 6: https://www.dropbox.com/s/8lchw0478j1rkl3/Projet%20aversion%20-%20version%20neutre.mov?dl=0
(Treatment 1: no preview available, but this treatment corresponds to treatment 2 (or 3 or 4) without the "framing" part).
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After
Job seekers are divided into 6 groups of equal size. Two elements vary between these groups: (1) the perceived source of the recommendations (3 possible conditions) and (2) the display of additional information accompanying the recommendations (4 possible conditions).
The three alternatives regarding the perceived source of recommendations are:
- "Machine source": Recommendations are framed as coming from an artificial intelligence algorithm
- "Human source": Recommendations are framed as coming from a (human) labor market expert
- "Neutral source": Recommendations are not framed as coming from a particular source
The four alternatives regarding the recommendations framing are:
- "Global explanation": explains to job seekers the overall functioning of the algorithm
- "Performance": emphasizes the performance level of the algorithm
- "Human in the loop" : highlights the fact that the algorithm was co-constructed with job seekers
- "Control": no particular framing
The 6 treatment groups are (Source x Framing) :
* 1: Machine source x Control
* 2: Machine source x Global explanation
* 3: Machine source x Performance
* 4: Machine source x Human in the loop
* 5: Human source x Control
* 6: Neutral source x Control
*** Preview links:
Treatment 2: https://www.dropbox.com/s/5ut0uh0gwuf9jf7/Projet%20aversion%20-%20version%20explication%20globale.mov?dl=0
Treatment 3: https://www.dropbox.com/s/uemfvw4dm37lrng/Projet%20aversion%20-%20version%20performance.mov?dl=0
Treatment 4: https://www.dropbox.com/s/j2rro7efgk0kmte/Projet%20aversion%20-%20version%20feedback.mov?dl=0
Treatment 5: https://www.dropbox.com/s/3qfwaqfmpazits1/Projet%20aversion%20-%20version%20expert.mov?dl=0
Treatment 6: https://www.dropbox.com/s/8lchw0478j1rkl3/Projet%20aversion%20-%20version%20neutre.mov?dl=0
(Treatment 1: no preview available, but this treatment corresponds to treatment 2 (or 3 or 4) without the "framing" part).
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