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    <abstract>This paper describes data collection and the first explorative research on the AICO Multimodal Corpus. The corpus contains eye-gaze, Kinect, and video recordings of human-robot and human-human interactions, and was collected to study cooperation, engagement and attention of human participants in task-based as well as in chatty type interactive situations. In particular, the goal was to enable comparison between human-human and human-robot interactions, besides studying multimodal behaviour and attention in the different dialogue activities. The robot partner was a humanoid Nao robot, and it was expected that its agent-like behaviour would render humanrobot interactions similar to human-human interaction but also high-light important differences due to the robot’s limited conversational capabilities. The paper reports on the preliminary studies on the corpus, concerning the participants’ eye-gaze and gesturing behaviours,which were chosen as objective measures to study differences in their multimodal behaviour patterns with a human and a robot partner.</abstract>
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%0 Conference Proceedings
%T The AICO Multimodal Corpus – Data Collection and Preliminary Analyses
%A Jokinen, Kristiina
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F jokinen-2020-aico
%X This paper describes data collection and the first explorative research on the AICO Multimodal Corpus. The corpus contains eye-gaze, Kinect, and video recordings of human-robot and human-human interactions, and was collected to study cooperation, engagement and attention of human participants in task-based as well as in chatty type interactive situations. In particular, the goal was to enable comparison between human-human and human-robot interactions, besides studying multimodal behaviour and attention in the different dialogue activities. The robot partner was a humanoid Nao robot, and it was expected that its agent-like behaviour would render humanrobot interactions similar to human-human interaction but also high-light important differences due to the robot’s limited conversational capabilities. The paper reports on the preliminary studies on the corpus, concerning the participants’ eye-gaze and gesturing behaviours,which were chosen as objective measures to study differences in their multimodal behaviour patterns with a human and a robot partner.
%U https://aclanthology.org/2020.lrec-1.70
%P 559-564

Markdown (Informal)

[The AICO Multimodal Corpus – Data Collection and Preliminary Analyses](https://aclanthology.org/2020.lrec-1.70) (Jokinen, LREC 2020)

• The AICO Multimodal Corpus – Data Collection and Preliminary Analyses (Jokinen, LREC 2020)

ACL

• Kristiina Jokinen. 2020. The AICO Multimodal Corpus – Data Collection and Preliminary Analyses. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 559–564, Marseille, France. European Language Resources Association.