Toward an Ontology of Regulation: Socially-Based Support for Coordination in Human and Machine Joint Activity Export

@incollection{citeulike:1825016, abstract = {In this chapter we explore the role of regulation in joint activity that is conducted among people and how understanding this better can enhance the efforts of researchers seek ing to develop effective means to coordinate the performance of consequential work within mixed teams of humans, agents, and robots. Our analysis reveals challenges to the quality of human-machine mutual understanding; these in turn set upper bounds on the degree of sophistication of human-automation joint activity that can be supported today and point to key areas for further research. These include development of an ontology of regulatory systems that can be utilized within human-agent-robotic teamwork to help with mutual understanding and complex coordination.}, author = {Feltovich, Paul and Bradshaw, Jeffrey and Clancey, William and Johnson, Matthew}, citeulike-article-id = {1825016}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-75524-1_10}, comment = {Examine the "ontology of regulatory systems," which seems to be meta-metadata. How does such an ontology create a barrier to infinite regress? Abstract: In this chapter we explore the role of regulation in joint activity that is conducted among people and how understanding this better can enhance the efforts of researchers seek ing to develop effective means to coordinate the performance of consequential work within mixed teams of humans, agents, and robots. Our analysis reveals challenges to the quality of human-machine mutual understanding; these in turn set upper bounds on the degree of sophistication of human-automation joint activity that can be supported today and point to key areas for further research. These include development of an ontology of regulatory systems that can be utilized within human-agent-robotic teamwork to help with mutual understanding and complex coordination.}, doi = {10.1007/978-3-540-75524-1_10}, journal = {Engineering Societies in the Agents World VII}, keywords = {human-machine, metadata, ontologies, understanding}, pages = {175--192}, posted-at = {2007-10-26 14:12:55}, priority = {2}, title = {Toward an Ontology of Regulation: Socially-Based Support for Coordination in Human and Machine Joint Activity}, url = {http://dx.doi.org/10.1007/978-3-540-75524-1_10}, year = {2007} }

TY - CHAP ID - citeulike:1825016 L3 - citeulike-article-id:1825016 N2 - In this chapter we explore the role of regulation in joint activity that is conducted among people and how understanding this better can enhance the efforts of researchers seek ing to develop effective means to coordinate the performance of consequential work within mixed teams of humans, agents, and robots. Our analysis reveals challenges to the quality of human-machine mutual understanding; these in turn set upper bounds on the degree of sophistication of human-automation joint activity that can be supported today and point to key areas for further research. These include development of an ontology of regulatory systems that can be utilized within human-agent-robotic teamwork to help with mutual understanding and complex coordination. JF - Engineering Societies in the Agents World VII EP - 192 TI - Toward an Ontology of Regulation: Socially-Based Support for Coordination in Human and Machine Joint Activity SP - 175 KW - human-machine KW - metadata KW - ontologies KW - understanding N1 - Examine the "ontology of regulatory systems," which seems to be meta-metadata. How does such an ontology create a barrier to infinite regress? Abstract: In this chapter we explore the role of regulation in joint activity that is conducted among people and how understanding this better can enhance the efforts of researchers seek ing to develop effective means to coordinate the performance of consequential work within mixed teams of humans, agents, and robots. Our analysis reveals challenges to the quality of human-machine mutual understanding; these in turn set upper bounds on the degree of sophistication of human-automation joint activity that can be supported today and point to key areas for further research. These include development of an ontology of regulatory systems that can be utilized within human-agent-robotic teamwork to help with mutual understanding and complex coordination. AU - Feltovich, Paul AU - Bradshaw, Jeffrey AU - Clancey, William AU - Johnson, Matthew PY - 2007/// UR - http://dx.doi.org/10.1007/978-3-540-75524-1_10 ER -