Autonomy and interdependence in human-agent-robot teams


There's a standard belief that creating systems more autonomous will improve the system and is so a desirable goal. Though little scale straightforward tasks will usually profit from automation, this doesn't essentially generalize to additional complicated joint activity. When planning these days’s a lot of sophisticated systems to figure closely with humans, it's vital not only to contemplate the machine’s ability to work independently through autonomy, however additionally its ability to support interdependence with those involved in the joint activity. We tend to posit that to truly improve systems and have them reach their full potential, planning systems that support interdependent activity between participants is the key. Our claim is that increasing autonomy, even in an exceedingly simple and benign environment, will not forever lead to an improved system. We tend to can show results from an experiment in that we tend to demonstrate this phenomena and justify why increasing autonomy can generally negatively impact performance.

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