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Nancy Cooke Nancy Cooke Arizona State University Matt Wood Matt Wood Aptima, Inc. Verica Buchanan Verica Buchanan Arizona State University Stephen Caufman Stephen Caufman Arizona State University Arizona State University Carnegie Mellon University Robotics Institute DOLL Cornell University Institute for Human Machine Cognition University of Central Florida 2021-12-15 2021-08-25 2021-11-15 2022-01-04 2025-08-18 Human subjects research data;AI research data 2286/R.2.N.162284 10.17605/OSF.IO/AN4SU 39944236 40214572 39743532 44 34508844 34480172 44 31088684 28852268 32706604 32645164 28545068 28332076 28057644 44 61484 28700716 32415788 32407596 44 28311596 28340268 32288812 32190508 64000044 89554988 46551084 89448492 37183532 37171244 28307500 28323884 29470764 29364268 23543852 47198252 46968876 27361324 9904172 30003244 25477164 25514028 25526316 28987436 26464300 28758060 27426860 27123756 27414572 29511724 29536300 4911148 28626988 28491820 26476588 23793708 26386476 46633004 49651756 46202924 30515244 31219756 31682604 1450028 44421164 48545836 32976940 67280940 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video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 application/x-spss-sav application/x-spss-sav text/tab-separated-values application/x-spss-sav video/mp4 video/mp4 video/mp4 video/mp4 video/mp4 text/comma-separated-values text/plain text/plain text/plain text/plain text/plain text/plain text/plain text/plain text/plain text/plain application/zip text/plain application/zip text/plain 4.3 Creative Commons CC0 1.0 Universal Public Domain Dedication. <p>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. </p> <p> A readme file in each folder (e.g., readme_audio.txt) describes the folder's contents in detail. </p> <p> (1) Data in the studywide folder will be of interest to researchers who conduct any analysis with any data from ASIST Study-2, because these files contain data that describe the study overall, the data used to evaluate AI, or the coding of data. <br> <br> (2) Data in the surveys folder will be of interest to researchers who study individual differences and their effects on behavior. <br> <br> (3) Data in the testbedmessages folder will be of interest to researchers who study individual and team behavior or who use any other components of this dataset, because these are machine- and human-readable text (json) records of the state and behaviors of study participants, and of the state of the task environment. <br> <br> (4) Data in the transcriptions folder will be of interest to researchers who study language use. The audio source of these imperfect machine transcriptions can be found in study video files and audio files. <br> <br> (5) Data in the audio folder will be of interest to researchers who study language use, or who wish to validate, contextualize, or specify transcriptions, testbed messages, and certain survey data. <br> <br> (6) Data in the video folder will be of interest to researchers who study machine vision, or who wish to validate, contextualize, or specify transcriptions, testbed messages, and certain survey data. </p> Artificial Social Intelligence for Successful Teams (ASIST) Arizona State University Defense Advanced Research Projects Agency (DARPA) HR001119C0130