Sequential annotations for naturally-occurring HRI: first insights
Lucien Tisserand Frédéric Armetta Heike Baldauf-Quilliatre Antoine Bouquin Salima Hassas Mathieu Lefort
We explain the methodology we developed for improving the interactions
accomplished by an embedded conversational agent, drawing from Conversation
Analytic sequential and multimodal analysis. The use case is a Pepper robot
that is expected to inform and orient users in a library. In order to propose
and learn better interactive schema, we are creating a corpus of
naturally-occurring interactions that will be made available to the community.
To do so, we propose an annotation practice based on some theoretical
underpinnings about the use of language and multimodal resources in human-robot
interaction. CCS CONCEPTS $\bullet$ Computing methodologies $\rightarrow$
Discourse, dialogue and pragmatics; $\bullet$ Human-centered computing
$\rightarrow$ Text input; HCI theory, concepts and models; Field studies.