Pre-Analysis Plan for Preferences on the use and regulation of algorithms in the context of self-driving cars and ADM
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'As part of a bigger research project on the social embeddedness of autonomous systems, this study explores attitudes and preferences of individuals regarding the use and regulation of algorithms and algorithmic systems, using original data from representative online surveys administered in Germany, Japan and the United States. The first part of the study uses a conjoint experiment to provide evidence for the effect of multidimensional regulatory designs on mass support for the regulation of self-driving cars, and test the relative importance of different regulatory features. In a second step, we conduct a framing-experiment to understand the effect of different policy-frames on regulatory acceptance for self-driving cars. To explore the circumstances under which individuals accept algorithmic decision-making over human decision-making, ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["algorithms","Conjoint Experiment","policy preferences","self-driving cars","survey experiments"]} <|eot_id|>
 Here is the Description of a dataset. Description:'As part of a bigger research project on the social embeddedness of autonomous systems, this study explores attitudes and preferences of individuals regarding the use and regulation of algorithms and algorithmic systems, using original data from representative online surveys administered in Germany, Japan and the United States. The first part of the study uses a conjoint experiment to provide evidence for the effect of multidimensional regulatory designs on mass support for the regulation of self-driving cars, and test the relative importance of different regulatory features. In a second step, we conduct a framing-experiment to understand the effect of different policy-frames on regulatory acceptance for self-driving cars. To explore the circumstances under which individuals accept algorithmic decision-making over human decision-making, ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
As part of a bigger research project on the social embeddedness of autonomous systems, this study explores attitudes and preferences of individuals regarding the use and regulation of algorithms and algorithmic systems, using original data from representative online surveys administered in Germany, Japan and the United States. The first part of the study uses a conjoint experiment to provide evidence for the effect of multidimensional regulatory designs on mass support for the regulation of self-driving cars, and test the relative importance of different regulatory features. In a second step, we conduct a framing-experiment to understand the effect of different policy-frames on regulatory acceptance for self-driving cars. To explore the circumstances under which individuals accept algorithmic decision-making over human decision-making, 
algorithms; Conjoint Experiment; policy preferences; self-driving cars; survey experiments