Adjustable autonomy in real-world multi-agent environments
Proceedings of the fifth international conference on Autonomous agents
Making sense of sensing systems: five questions for designers and researchers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Why the elf acted autonomously: towards a theory of adjustable autonomy
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
How robotic products become social products: an ethnographic study of cleaning in the home
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Human-robot interaction: a survey
Foundations and Trends in Human-Computer Interaction
Finding transactive contributions in whole group classroom discussions
ICLS '10 Proceedings of the 9th International Conference of the Learning Sciences - Volume 1
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The emergence of potential new human-computer interaction styles enabled through technological advancements in artificial intelligence, machine learning, and computational linguistics makes it increasingly more important to formalize and evaluate these innovative approaches. In this position paper, we propose a multi-dimensional conversation analysis framework as a way to expose and quantify the structure of a variety of new forms of human-computer interaction. We argue that by leveraging sociolinguistic constructs referred to as authoritativeness and heteroglossia, we can expose aspects of novel interaction paradigms that must be evaluated in light of usability heuristics so that we can approach the future of human-computer interaction in a way that preserves the usability standards that have shaped the state-of-the-art that is tried and true.