Mind Reading at Work: Cooperation without common ground
This work tackles the problem of improving human-computer interaction for conversational AI, but it appears incremental as it builds on prior critiques and alternative frameworks without presenting new empirical results.
The paper addresses the challenge of enabling computers to engage in meaningful human conversation by proposing a solution based on situated action, contrasting with existing approaches that emphasize incremental joint co-construction and mentalizing.
As Stefan Kopp and Nicole Kramer say in their recent paper[Frontiers in Psychology 12 (2021) 597], despite some very impressive demonstrations over the last decade or so, we still don't know how how to make a computer have a half decent conversation with a human. They argue that the capabilities required to do this include incremental joint co-construction and mentalizing. Although agreeing whole heartedly with their statement of the problem, this paper argues for a different approach to the solution based on the "new" AI of situated action.