This study tested the capability of artificial social intelligence to make inferences and predictions concerning the state and behaviors of 3-person teams executing an urban search and rescue task in Minecraft.

The ASIST Study-2 dataset was developed in a human subjects research study designed to assess the capability of artificial intelligence to infer the state and predict the actions of members of a three-person team executing an urban search and rescue task in Minecraft. The data were developed under Contract No. HR001119C0130 to the Defense Advanced Research Projects Agency (DARPA). The dataset comprises approximately 2,100 files and 300GB of data. We have partitioned the full dataset into folders that support research in specific areas. Thus, researchers can more easily download only the files of value to them.
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JSON - 22.4 KB - MD5: 30beb5ffe3c0176b55ad970281853698
Tabular Data - 1.0 KB - 6 Variables, 26 Observations - UNF:6:MIRvDzHS5B2oI6XzmXomQw==
Adobe PDF - 928.4 KB - MD5: ecaf04fd3195a6a62a85fe454adb40c5
Documentation
Detailed study description of the ASIST Study 1 Falcon Testbed
Tabular Data - 38.3 KB - 4 Variables, 225 Observations - UNF:6:OMqenTtS49WU9ermw+VUwA==
Adobe PDF - 31.8 KB - MD5: 481ea2ffa98c480ad7ec65a027a1180e
map complexity design, experiment procedure, surveys, etc.
Plain Text - 427.3 KB - MD5: 3ce76a2efc41712346dbdfeab2edc40a
Surveys used in Qualtrics
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