@inproceedings{inan-etal-2026-movement,
title = "Movement Coherence in High Visual Load Environments: Implications for Attention in Mixed-Hearing Classes",
author = "Inan, Mert and
Imai, Saki and
Marshall, Anna and
Karel, Tessa and
Alikhani, Malihe",
editor = "Efthimiou, Eleni and
Fotinea, Stavroula-Evita and
Hanke, Thomas and
Hochgesang, Julie A. and
Mesch, Johanna and
Schulder, Marc",
booktitle = "Proceedings of the {LREC} 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion",
month = may,
year = "2026",
address = "Palma, Mallorca (Spain)",
publisher = "ELRA Language Resources Association (ELRA)",
url = "https://aclanthology.org/2026.signlang-1.24/",
doi = "10.63317/4itezpkm8f7r",
pages = "226--238",
abstract = "Signed interpretation in movement based instruction creates high visual load environments in which spoken language, sign language, and physical demonstration compete for the same perceptual channel. We present a participatory multimodal observational study of mixed hearing movement and mindfulness classes in which Deaf, Hard of Hearing, and hearing participants practice together. Based on synchronized video recordings and instructor interviews, we examine how alignment across demonstration, signed instruction, and bodily execution is achieved and restored in real time. Drawing on theories of grounding, repair, and sign language interaction, we conceptualize movement coherence as alignment across these parallel streams and describe how breakdowns trigger observable attention shifts and distributed repair across participants, interpreters, and instructors. Across sessions, we identify recurrent coordination strategies including peer checking, freeze and scan, interpreter repositioning, tactile cueing, and pacing adjustment. Our findings provide an empirically grounded account of grounding under attentional constraint in inclusive embodied settings, with implications for sign language interpretation, multimodal discourse, and the design of accessible movement instruction. This paper includes deidentified materials derived from recorded sessions, including selected keyframes, structured interactional annotations, and anonymized instructor and participant survey responses."
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<abstract>Signed interpretation in movement based instruction creates high visual load environments in which spoken language, sign language, and physical demonstration compete for the same perceptual channel. We present a participatory multimodal observational study of mixed hearing movement and mindfulness classes in which Deaf, Hard of Hearing, and hearing participants practice together. Based on synchronized video recordings and instructor interviews, we examine how alignment across demonstration, signed instruction, and bodily execution is achieved and restored in real time. Drawing on theories of grounding, repair, and sign language interaction, we conceptualize movement coherence as alignment across these parallel streams and describe how breakdowns trigger observable attention shifts and distributed repair across participants, interpreters, and instructors. Across sessions, we identify recurrent coordination strategies including peer checking, freeze and scan, interpreter repositioning, tactile cueing, and pacing adjustment. Our findings provide an empirically grounded account of grounding under attentional constraint in inclusive embodied settings, with implications for sign language interpretation, multimodal discourse, and the design of accessible movement instruction. This paper includes deidentified materials derived from recorded sessions, including selected keyframes, structured interactional annotations, and anonymized instructor and participant survey responses.</abstract>
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%0 Conference Proceedings
%T Movement Coherence in High Visual Load Environments: Implications for Attention in Mixed-Hearing Classes
%A Inan, Mert
%A Imai, Saki
%A Marshall, Anna
%A Karel, Tessa
%A Alikhani, Malihe
%Y Efthimiou, Eleni
%Y Fotinea, Stavroula-Evita
%Y Hanke, Thomas
%Y Hochgesang, Julie A.
%Y Mesch, Johanna
%Y Schulder, Marc
%S Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F inan-etal-2026-movement
%X Signed interpretation in movement based instruction creates high visual load environments in which spoken language, sign language, and physical demonstration compete for the same perceptual channel. We present a participatory multimodal observational study of mixed hearing movement and mindfulness classes in which Deaf, Hard of Hearing, and hearing participants practice together. Based on synchronized video recordings and instructor interviews, we examine how alignment across demonstration, signed instruction, and bodily execution is achieved and restored in real time. Drawing on theories of grounding, repair, and sign language interaction, we conceptualize movement coherence as alignment across these parallel streams and describe how breakdowns trigger observable attention shifts and distributed repair across participants, interpreters, and instructors. Across sessions, we identify recurrent coordination strategies including peer checking, freeze and scan, interpreter repositioning, tactile cueing, and pacing adjustment. Our findings provide an empirically grounded account of grounding under attentional constraint in inclusive embodied settings, with implications for sign language interpretation, multimodal discourse, and the design of accessible movement instruction. This paper includes deidentified materials derived from recorded sessions, including selected keyframes, structured interactional annotations, and anonymized instructor and participant survey responses.
%R 10.63317/4itezpkm8f7r
%U https://aclanthology.org/2026.signlang-1.24/
%U https://doi.org/10.63317/4itezpkm8f7r
%P 226-238
Markdown (Informal)
[Movement Coherence in High Visual Load Environments: Implications for Attention in Mixed-Hearing Classes](https://aclanthology.org/2026.signlang-1.24/) (Inan et al., SignLang 2026)
ACL