<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="popescu-nisioi-2025-exploring">
    <titleInfo>
        <title>Exploring Mouse Tracking for Reading on Romanian Data</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Cristina</namePart>
        <namePart type="given">Maria</namePart>
        <namePart type="family">Popescu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Sergiu</namePart>
        <namePart type="family">Nisioi</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the First International Workshop on Gaze Data and Natural Language Processing</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Cengiz</namePart>
            <namePart type="family">Acarturk</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">Burcu</namePart>
            <namePart type="family">Can</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Cagrı</namePart>
            <namePart type="family">Coltekin</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>INCOMA Ltd., Shoumen, BULGARIA</publisher>
            <place>
                <placeTerm type="text">Varna, Bulgaria</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper, we investigate the use of the Mouse Tracking for Reading (MoTR) method for a sample of Romanian texts. MoTR is a novel measurement tool that is meant to collect word-by-word reading times. In a typical MoTR trial, the text is blurred, except for a small area around the mouse pointer and the participants must move the mouse to reveal and read the text. In the current experiment, participants read such texts and afterwords answered comprehension questions, aiming to evaluate reading behavior and cognitive engagement. Mouse movement is recorded and analyzed to evaluate attention distribution across a sentence, providing insights into incremental language processing. Based on all the information gathered, the study confirms the feasibility of this method in a controlled setting and emphasizes MoTR’s potential as an accessible and naturalistic approach for studying text comprehension.</abstract>
    <identifier type="citekey">popescu-nisioi-2025-exploring</identifier>
    <location>
        <url>https://aclanthology.org/2025.gaze4nlp-1.6/</url>
    </location>
    <part>
        <date>2025-09</date>
        <extent unit="page">
            <start>44</start>
            <end>51</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Exploring Mouse Tracking for Reading on Romanian Data
%A Popescu, Cristina Maria
%A Nisioi, Sergiu
%Y Acarturk, Cengiz
%Y Nasir, Jamal
%Y Can, Burcu
%Y Coltekin, Cagrı
%S Proceedings of the First International Workshop on Gaze Data and Natural Language Processing
%D 2025
%8 September
%I INCOMA Ltd., Shoumen, BULGARIA
%C Varna, Bulgaria
%F popescu-nisioi-2025-exploring
%X In this paper, we investigate the use of the Mouse Tracking for Reading (MoTR) method for a sample of Romanian texts. MoTR is a novel measurement tool that is meant to collect word-by-word reading times. In a typical MoTR trial, the text is blurred, except for a small area around the mouse pointer and the participants must move the mouse to reveal and read the text. In the current experiment, participants read such texts and afterwords answered comprehension questions, aiming to evaluate reading behavior and cognitive engagement. Mouse movement is recorded and analyzed to evaluate attention distribution across a sentence, providing insights into incremental language processing. Based on all the information gathered, the study confirms the feasibility of this method in a controlled setting and emphasizes MoTR’s potential as an accessible and naturalistic approach for studying text comprehension.
%U https://aclanthology.org/2025.gaze4nlp-1.6/
%P 44-51

Markdown (Informal)

[Exploring Mouse Tracking for Reading on Romanian Data](https://aclanthology.org/2025.gaze4nlp-1.6/) (Popescu & Nisioi, Gaze4NLP 2025)

• Exploring Mouse Tracking for Reading on Romanian Data (Popescu & Nisioi, Gaze4NLP 2025)

ACL

• Cristina Maria Popescu and Sergiu Nisioi. 2025. Exploring Mouse Tracking for Reading on Romanian Data. In Proceedings of the First International Workshop on Gaze Data and Natural Language Processing, pages 44–51, Varna, Bulgaria. INCOMA Ltd., Shoumen, BULGARIA.