Experimental Methods of Exploring Multimodal Discourse: Crossmodal Alignment

The study advances Crossmodal Alignment Framework to explore multimodal discourse in its three formats – semiotic, communicative and perceptive – via multimodal experiment. It considers the alignment patterns obtained from two semiotic modes (text and image), transferred in two communicative modes (speech and gesture), sensed by two perception modes (visual and audial). The common research framework determines the patterns as modulated by discourse tasks. The study features the results of multimodal experiments with the participants engaged in three discourse tasks: 1) receptive, which presumes obtaining information from text and image stimuli; semiotic alignment patterns are identified indirectly via participants’ gaze response; 2) productive, in which the participants communicate the information in monological format; communicative alignment patterns are identified directly via their speech and gesture; 3) receptive-productive, which presupposes the participants perceive information visually and audially; alignment patterns are identified directly via participants’ gaze behavior contingent on the stimuli areas of interest and indirectly via their speech response. Data analysis allows to determine and scale the degree of crossmodal alignment to discourse tasks, which helps identify the input of each mode to solving these tasks. The research framework and obtained results contribute to further development of multimodal discourse methods.

Authors

Institutions

Publication Details

Journal
Vestnik Volgogradskogo gosudarstvennogo universiteta Serija 2 Jazykoznanije
Published
2024-12-27
DOI
https://doi.org/10.15688/jvolsu2.2024.5.12
Primary Topic
Language, Metaphor, and Cognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental Methods of Exploring Multimodal Discourse: Crossmodal Alignment

Vadim Potekhin, Maria Kiose, O. D. ZUBKOV
Vestnik Volgogradskogo gosudarstvennogo universiteta Serija 2 Jazykoznanije
Language, Metaphor, and Cognition
article

Experimental Methods of Exploring Multimodal Discourse: Crossmodal Alignment

Vadim Potekhin, Maria Kiose, O. D. ZUBKOV
article en

Abstract

The study advances Crossmodal Alignment Framework to explore multimodal discourse in its three formats – semiotic, communicative and perceptive – via multimodal experiment. It considers the alignment patterns obtained from two semiotic modes (text and image), transferred in two communicative modes (speech and gesture), sensed by two perception modes (visual and audial). The common research framework determines the patterns as modulated by discourse tasks. The study features the results of multimodal experiments with the participants engaged in three discourse tasks: 1) receptive, which presumes obtaining information from text and image stimuli; semiotic alignment patterns are identified indirectly via participants’ gaze response; 2) productive, in which the participants communicate the information in monological format; communicative alignment patterns are identified directly via their speech and gesture; 3) receptive-productive, which presupposes the participants perceive information visually and audially; alignment patterns are identified directly via participants’ gaze behavior contingent on the stimuli areas of interest and indirectly via their speech response. Data analysis allows to determine and scale the degree of crossmodal alignment to discourse tasks, which helps identify the input of each mode to solving these tasks. The research framework and obtained results contribute to further development of multimodal discourse methods.

Vestnik Volgogradskogo gosudarstvennogo universiteta Serija 2 JazykoznanijeVol. 23(5)
Moscow State Linguistic University (RU)
Quality Education
Openalex Percentile: Top 70%
Language, Metaphor, and Cognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.