Modeling Emotion Induced by Motion in 4D Rides

Motion, conveyed through motion platform movements on which the audience is seated, is the most commonly employed four-dimensional (4D) effect. It enhances immersion and influences emotional responses, with its impact varying depending on design factors. This variation suggests the potential for optimizing audience emotions through motion design. However, previous studies have either overlooked motion design factors or focused on single motion types, limiting the generalizability of their findings. This study focused on 4D ride films, which provide first-person ride experience. We examined the effects of motion presence and developed regression models to explain the relationship between motion design factors and emotional intensity. Models were constructed for representative emotions such as confused and urgent, using maximum amplitudes as independent variables. Based on these models, we proposed motion design guidelines to optimize emotional intensity by adjusting the maximum amplitudes of pitch, roll, and heave. These findings will help 4D ride film producers elicit the intended emotional intensity in audiences.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Haptics
Published
2025-10-01
DOI
https://doi.org/10.1109/toh.2025.3630042
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling Emotion Induced by Motion in 4D Rides

Dawoon Jeong, Junseong Park, Sung H. Han, Kimin Kwon et al.
IEEE Transactions on Haptics
Virtual Reality Applications and Impacts
article

Modeling Emotion Induced by Motion in 4D Rides

Dawoon Jeong, Junseong Park, Sung H. Han, Kimin Kwon, Seungmoon Choi
article en

Abstract

Motion, conveyed through motion platform movements on which the audience is seated, is the most commonly employed four-dimensional (4D) effect. It enhances immersion and influences emotional responses, with its impact varying depending on design factors. This variation suggests the potential for optimizing audience emotions through motion design. However, previous studies have either overlooked motion design factors or focused on single motion types, limiting the generalizability of their findings. This study focused on 4D ride films, which provide first-person ride experience. We examined the effects of motion presence and developed regression models to explain the relationship between motion design factors and emotional intensity. Models were constructed for representative emotions such as confused and urgent, using maximum amplitudes as independent variables. Based on these models, we proposed motion design guidelines to optimize emotional intensity by adjusting the maximum amplitudes of pitch, roll, and heave. These findings will help 4D ride film producers elicit the intended emotional intensity in audiences.

IEEE Transactions on HapticsVol. 18(4)
Pohang University of Science and Technology (KR)
Openalex Percentile: Top 67%
Virtual Reality Applications and Impacts
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.

Modeling Emotion Induced by Motion in 4D Rides — Dawoon Jeong, Junseong Park, et al. · IEEE Transactions on Haptics (2025) | TGRS Research Map | TGRS