In this paper we present a corpus of multiparty situated interaction where participants collaborated on moving virtual objects on a large touch screen. A moderator facilitated the discussion and directed the interaction. The corpus contains recordings of a variety of multimodal data, in that we captured speech, eye gaze and gesture data using a multisensory setup (wearable eye trackers, motion capture and audio/video). Furthermore, in the description of the multimodal corpus, we investigate four different types of social gaze: referential gaze, joint attention, mutual gaze and gaze aversion by both perspectives of a speaker and a listener. We annotated the groups’ object references during object manipulation tasks and analysed the group’s proportional referential eye-gaze with regards to the referent object. When investigating the distributions of gaze during and before referring expressions we could corroborate the differences in time between speakers’ and listeners’ eye gaze found in earlier studies. This corpus is of particular interest to researchers who are interested in social eye-gaze patterns in turn-taking and referring language in situated multi-party interaction.
@InProceedings{KONTOGIORGOS18.987, author = {Dimosthenis Kontogiorgos and Vanya Avramova and Simon Alexandersson and Patrik Jonell and Catharine Oertel and Jonas Beskow and Gabriel Skantze and Joakim Gustafson}, title = "{A Multimodal Corpus for Mutual Gaze and Joint Attention in Multiparty Situated Interaction}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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