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        <title>GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation</title>
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    <name type="personal">
        <namePart type="given">Hitomi</namePart>
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    <abstract>Vision-and-Language Navigation (VLN) task involves navigating mobility using linguistic commands and has application in developing interfaces for autonomous mobility. In reality, natural human communication also encompasses non-verbal cues like hand gestures and gaze. These gesture-guided instructions have been explored in Human-Robot Interaction systems for effective interaction, particularly in object-referring expressions. However, a notable gap exists in tackling gesture-based demonstrative expressions in outdoor VLN task. To address this, we introduce a novel dataset for gesture-guided outdoor VLN instructions with demonstrative expressions, designed with a focus on complex instructions requiring multi-hop reasoning between the multiple input modalities. In addition, our work also includes a comprehensive analysis of the collected data and a comparative evaluation against the existing datasets.</abstract>
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%0 Conference Proceedings
%T GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation
%A Jain, Aman
%A Misu, Teruhisa
%A Yamada, Kentaro
%A Yanaka, Hitomi
%Y Falk, Neele
%Y Papi, Sara
%Y Zhang, Mike
%S Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julian’s, Malta
%F jain-etal-2024-gesnavi
%X Vision-and-Language Navigation (VLN) task involves navigating mobility using linguistic commands and has application in developing interfaces for autonomous mobility. In reality, natural human communication also encompasses non-verbal cues like hand gestures and gaze. These gesture-guided instructions have been explored in Human-Robot Interaction systems for effective interaction, particularly in object-referring expressions. However, a notable gap exists in tackling gesture-based demonstrative expressions in outdoor VLN task. To address this, we introduce a novel dataset for gesture-guided outdoor VLN instructions with demonstrative expressions, designed with a focus on complex instructions requiring multi-hop reasoning between the multiple input modalities. In addition, our work also includes a comprehensive analysis of the collected data and a comparative evaluation against the existing datasets.
%U https://aclanthology.org/2024.eacl-srw.23
%P 290-295

Markdown (Informal)

[GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation](https://aclanthology.org/2024.eacl-srw.23) (Jain et al., EACL 2024)

• GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation (Jain et al., EACL 2024)

ACL

• Aman Jain, Teruhisa Misu, Kentaro Yamada, and Hitomi Yanaka. 2024. GesNavi: Gesture-guided Outdoor Vision-and-Language Navigation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 290–295, St. Julian’s, Malta. Association for Computational Linguistics.