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Modulating Factors in the Development of Motion Sickness in Transportation Vehicles: Malaysia Case Study

Automotive Experiences · Vol. 9 No. 2 (2026) · hlm. 525–539

DOI
10.31603/ae.14475
ISSN
2615-6636, 2615-6202
Terbit
2026-07-21
Penerbit
Universitas Muhammadiyah Magelang
Bahasa
en
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Motion sickness (MS) is a common issue for vehicle passengers, characterized by symptoms such as nausea, dizziness, and discomfort due to sensory conflicts between the visual and vestibular systems. This study aims to identify and quantify the modulating factors contributing to MS in vehicles within the Malaysian context. A systematic questionnaire was conducted, incorporating subjective feedback from 634 participants. The results highlight key factors like seating position, visual activities, and environmental conditions that influence MS susceptibility showing the most prominent factors are from Visual Activity with a mean of 3.44 among the others contributing most susceptibility from the activities of Reading (83.2%) and Writing (79.2%). Older people and females seemed to report greater susceptibility to motion sickness. This vulnerability is shown to increase with age as those 45+ years and above show the highest susceptibility, reporting a 69% rate on curvy roads and 66% during reading, in contrast with those between 18-29 who report a 52% and 50% susceptibility rate. Females again reported consistently higher rates than males, with the difference being larger in situations involving rear-facing seating or tasks requiring significant visual focus, such as reading (female 63% vs. male 46%) and driving on curvy roads (female 68% vs. male 50%). These factors of rear-facing seating and tasks involving intense visual focus, like reading or watching videos, were the strongest modulators identified, with a strong aggravating influence on symptoms across all groups. The findings provide crucial baselines for engineering future vehicle layouts, optimizing cabin climate systems, and designing targeted mitigation systems required to support human comfort and accelerate Automated Vehicle (AV) adoption in developing transport infrastructures.

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  • Tun Hussein Onn University of Malaysia
  • Universiti Teknikal Malaysia Melaka
  • National University of Malaysia
  • Institut Penyelidikan Keselamatan Jalan Raya Malaysia
  • Eindhoven University of Technology
  • University of Nottingham
  • Universiti Teknologi MARA
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Nidzamuddin Md. YusofUniversiti Teknikal Malaysia Melaka7
Muhammad Zahir HassanUniversiti Teknikal Malaysia Melaka5
Zulhaidi Mohd JawiInstitut Penyelidikan Keselamatan Jalan Raya Malaysia4
Khairil Anwar Abu KassimInstitut Penyelidikan Keselamatan Jalan Raya Malaysia4
Abd Fathul Hakim ZulkifliTun Hussein Onn University of Malaysia3
Ahmad Azad Ab. RashidInstitut Penyelidikan Keselamatan Jalan Raya Malaysia3
Muhamad Asri AzizulTun Hussein Onn University of Malaysia2
Shaiful Fadzil Zainal AbidinTun Hussein Onn University of Malaysia2
Mohammad Izhar SulaimanUniversiti Teknikal Malaysia Melaka2
Jacque TerkenAfiliasi tidak diketahui2
Frank DelbressineAfiliasi tidak diketahui2
Muhammad Nur Aliff Mohd NorzamUniversiti Teknikal Malaysia Melaka1
Nuurshafiqah AnuarTun Hussein Onn University of Malaysia1
Norirda MohamedTun Hussein Onn University of Malaysia1
Rahmah Binti MahmudinTun Hussein Onn University of Malaysia1
Norhasikin IsmailTun Hussein Onn University of Malaysia1
Mohd Anas Mohd SabriNational University of Malaysia1
Mohd Muhyidin MustafaUniversiti Teknologi MARA1
Mohd Sabirin RahmatNational University of Malaysia1
Vimal Rau AparowUniversity of Nottingham1
Rizauddin RamliNational University of Malaysia1
Sallehuddin Mohamed HarisNational University of Malaysia1
Meor Iqram Meor AhmadNational University of Malaysia1
Polpity Arachchige Kavishanka Priyabasan IndrajithUniversiti Teknikal Malaysia Melaka1
Muhammad Zahir HassanUniversiti Teknikal Malaysia Melaka1
Izuan Amin IshakTun Hussein Onn University of Malaysia1
Mohammad Edilan MustafaUniversity of Kuala Lumpur1
Saifullah Md GhazallyAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) http://journal.unimma.ac.id/index.php/AutomotiveExperiences/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">Modulating Factors in the Development of Motion Sickness in Transportation Vehicles: Malaysia Case Study</dc:title>
	<dc:creator xml:lang="en">Sefee, Mohd Iyad Akmal Mohd Indra</dc:creator>
	<dc:creator xml:lang="en">Karjanto, Juffrizal</dc:creator>
	<dc:creator xml:lang="en">Hasan, Muhammad Zahir</dc:creator>
	<dc:creator xml:lang="en">Ahmad, Fauzi</dc:creator>
	<dc:creator xml:lang="en">Zulkifli, Abd Fathul Hakim</dc:creator>
	<dc:creator xml:lang="en">Sulaiman, Syabillah</dc:creator>
	<dc:creator xml:lang="en">Jawi, Zulhaidi Mohd</dc:creator>
	<dc:creator xml:lang="en">Rauterberg, Matthias</dc:creator>
	<dc:subject xml:lang="en">Motion sickness</dc:subject>
	<dc:subject xml:lang="en">Modulating factors</dc:subject>
	<dc:subject xml:lang="en">Sensory conflict</dc:subject>
	<dc:subject xml:lang="en">Susceptibility</dc:subject>
	<dc:subject xml:lang="en">Comfort</dc:subject>
	<dc:description xml:lang="en">Motion sickness (MS) is a common issue for vehicle passengers, characterized by symptoms such as nausea, dizziness, and discomfort due to sensory conflicts between the visual and vestibular systems. This study aims to identify and quantify the modulating factors contributing to MS in vehicles within the Malaysian context. A systematic questionnaire was conducted, incorporating subjective feedback from 634 participants. The results highlight key factors like seating position, visual activities, and environmental conditions that influence MS susceptibility showing the most prominent factors are from Visual Activity with a mean of 3.44 among the others contributing most susceptibility from the activities of Reading (83.2%) and Writing (79.2%). Older people and females seemed to report greater susceptibility to motion sickness. This vulnerability is shown to increase with age as those 45+ years and above show the highest susceptibility, reporting a 69% rate on curvy roads and 66% during reading, in contrast with those between 18-29 who report a 52% and 50% susceptibility rate. Females again reported consistently higher rates than males, with the difference being larger in situations involving rear-facing seating or tasks requiring significant visual focus, such as reading (female 63% vs. male 46%) and driving on curvy roads (female 68% vs. male 50%). These factors of rear-facing seating and tasks involving intense visual focus, like reading or watching videos, were the strongest modulators identified, with a strong aggravating influence on symptoms across all groups. The findings provide crucial baselines for engineering future vehicle layouts, optimizing cabin climate systems, and designing targeted mitigation systems required to support human comfort and accelerate Automated Vehicle (AV) adoption in developing transport infrastructures.</dc:description>
	<dc:publisher xml:lang="en">Universitas Muhammadiyah Magelang</dc:publisher>
	<dc:date>2026-07-21</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unimma.ac.id/AutomotiveExperiences/article/view/14475</dc:identifier>
	<dc:identifier>10.31603/ae.14475</dc:identifier>
	<dc:source xml:lang="en">Automotive Experiences; Vol. 9 No. 2 (2026); 525-539</dc:source>
	<dc:source>2615-6636</dc:source>
	<dc:source>2615-6202</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unimma.ac.id/AutomotiveExperiences/article/view/14475/7021</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Mohd Iyad Akmal Mohd Indra Sefee, Juffrizal Karjanto, Muhammad Zahir Hasan, Fauzi Ahmad, Abd Fathul Hakim Zulkifli, Syabillah Sulaiman, Zulhaidi Mohd Jawi, Matthias Rauterberg</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>