<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="schacht-2026-coordimap">
    <titleInfo>
        <title>CoordiMap: Conceptual Proposition of a new Framework for the Annotation of Verbal Elicitation Paths on Visual Experiment Stimuli and Introduction of the Associated Annotation Tool</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Carmen</namePart>
        <namePart type="family">Schacht</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings fo the Second International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Cengiz</namePart>
            <namePart type="family">Acartürk</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Burcu</namePart>
            <namePart type="family">Can</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Jamal</namePart>
            <namePart type="family">Nasir</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Çağrı</namePart>
            <namePart type="family">Çöltekin</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>ELDA</publisher>
            <place>
                <placeTerm type="text">Palma de Mallorca, Spain</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Consistent alignment of multi-modal experimental data—such as verbal utterances in elicitation tasks, (static) visual stimuli, and gaze data—presents a challenge in linguistic research. These elicitations often encode information about the visual perception strategies or cognitive processing of the scene. Thus, it is helpful to transform them into a structured, visually grounded format which captures the visual nature of the data, ideally able to be aligned with the corresponding gaze data. To achieve this, the present paper conceptually proposes the annotation framework for verbal elicitation paths as a data type and presents the first release of the associated newly developed CoordiMap annotation tool. The tool enables structured mapping of verbal elicitation data from experimental studies onto the corresponding visual stimuli. Independent of specific paradigms, the tool supports the annotation of verbal utterances in a linearized form based on coordinates directly marked on the image of the stimulus. The format is conceptually inspired by eye-tracking data formats, in which gaze behavior is represented as temporally linearized paths overlaid on the stimulus. The paper motivates the development of the tool and its annotation methodology by theoretical and experimental considerations regarding the relationship between visual perception and language production. As this a work in progress, the functionality of the annotation tool is demonstrated through an exemplary use case.</abstract>
    <identifier type="citekey">schacht-2026-coordimap</identifier>
    <identifier type="doi">10.63317/3pgk5582pu3t</identifier>
    <location>
        <url>https://aclanthology.org/2026.gaze4nlp-1.6/</url>
    </location>
    <part>
        <date>2026-05</date>
        <extent unit="page">
            <start>35</start>
            <end>40</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T CoordiMap: Conceptual Proposition of a new Framework for the Annotation of Verbal Elicitation Paths on Visual Experiment Stimuli and Introduction of the Associated Annotation Tool
%A Schacht, Carmen
%Y Acartürk, Cengiz
%Y Can, Burcu
%Y Nasir, Jamal
%Y Çöltekin, Çağrı
%S Proceedings fo the Second International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP
%D 2026
%8 May
%I ELDA
%C Palma de Mallorca, Spain
%F schacht-2026-coordimap
%X Consistent alignment of multi-modal experimental data—such as verbal utterances in elicitation tasks, (static) visual stimuli, and gaze data—presents a challenge in linguistic research. These elicitations often encode information about the visual perception strategies or cognitive processing of the scene. Thus, it is helpful to transform them into a structured, visually grounded format which captures the visual nature of the data, ideally able to be aligned with the corresponding gaze data. To achieve this, the present paper conceptually proposes the annotation framework for verbal elicitation paths as a data type and presents the first release of the associated newly developed CoordiMap annotation tool. The tool enables structured mapping of verbal elicitation data from experimental studies onto the corresponding visual stimuli. Independent of specific paradigms, the tool supports the annotation of verbal utterances in a linearized form based on coordinates directly marked on the image of the stimulus. The format is conceptually inspired by eye-tracking data formats, in which gaze behavior is represented as temporally linearized paths overlaid on the stimulus. The paper motivates the development of the tool and its annotation methodology by theoretical and experimental considerations regarding the relationship between visual perception and language production. As this a work in progress, the functionality of the annotation tool is demonstrated through an exemplary use case.
%R 10.63317/3pgk5582pu3t
%U https://aclanthology.org/2026.gaze4nlp-1.6/
%U https://doi.org/10.63317/3pgk5582pu3t
%P 35-40

Markdown (Informal)

[CoordiMap: Conceptual Proposition of a new Framework for the Annotation of Verbal Elicitation Paths on Visual Experiment Stimuli and Introduction of the Associated Annotation Tool](https://aclanthology.org/2026.gaze4nlp-1.6/) (Schacht, Gaze4NLP 2026)

• CoordiMap: Conceptual Proposition of a new Framework for the Annotation of Verbal Elicitation Paths on Visual Experiment Stimuli and Introduction of the Associated Annotation Tool (Schacht, Gaze4NLP 2026)

ACL

• Carmen Schacht. 2026. CoordiMap: Conceptual Proposition of a new Framework for the Annotation of Verbal Elicitation Paths on Visual Experiment Stimuli and Introduction of the Associated Annotation Tool. In Proceedings fo the Second International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP, pages 35–40, Palma de Mallorca, Spain. ELDA.