Open Challenges on Generating Referring Expressions for Human-Robot Interaction
It addresses communication problems in human-robot collaboration, but is incremental as it reviews existing challenges rather than proposing solutions.
The paper identifies open challenges in generating referring expressions for human-robot interaction, focusing on issues like using contextual information, perspective-taking, and autonomous misinterpretation handling, without presenting new results or numbers.
Effective verbal communication is crucial in human-robot collaboration. When a robot helps its human partner to complete a task with verbal instructions, referring expressions are commonly employed during the interaction. Despite many studies on generating referring expressions, crucial open challenges still remain for effective interaction. In this work, we discuss some of these challenges (i.e., using contextual information, taking users' perspectives, and handling misinterpretations in an autonomous manner).