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Human team members show a remarkable ability to infer the state of their partners and anticipate their needs and actions. Prior research demonstrates that an artificial system can make some predictions accurately concerning artificial agents. This study investigated whether an artificial system could generate a robust Theory of Mind of human teammates. An urban search and rescue (USAR) task environment was developed to elicit human teamwork and evaluate inference and prediction about team members by software agents and humans. The task varied team members’ roles and skills, types of task synchronization and interdependence, task risk and reward, completeness of mission planning, and information asymmetry. The task was implemented in MinecraftTM and applied in a study of 64 teams, each with three remotely distributed members. An evaluation of six Artificial Social Intelligences (ASI) and several human observers addressed the accuracy with which each predicted team performance, inferred experimentally manipulated knowledge of team members, and predicted member actions. All agents performed above chance; humans slightly outperformed ASI agents on some tasks and significantly outperformed ASI agents on others; no one ASI agent reliably outperformed the others; and the accuracy of ASI agents and human observers improved rapidly though modestly during the brief trials.
Findings revealed seven interconnected themes of chiptune-related practices: (a) composition practices, (b) performance practices, (c) maker practices, (d) coding practices, (e) entrepreneurial practices, (f), visual art practices, and (g) community practices. Members of chipmusic.org primarily discussed composing and performing chiptunes on a variety of instruments, as well as through retro computer and video game hardware. Members also discussed modifying and creating hardware and software for a multitude of electronic devices. Some members engaged in entrepreneurial practices to promote, sell, buy, and trade with other members. Throughout each of the revealed themes, members engaged in visual art practices, as well as community practices such as collective learning, collaborating, constructive criticism, competitive events, and collective efficacy.
Findings suggest the revealed themes incorporated practices from a multitude of academic disciplines or fields of study for music-related purposes. However, I argue that many of the music-related practices people discussed within chipmusic.org are not apparent within music education discourse, curricula, or standards. I call for an expansion of music education discourse and practices to include additional ways of being musical through practices that might borrow from multiple academic disciplines or fields of study for music-related purposes.