Mulsemedia: Review and Perspective on Potentials in Rehabilitation and Disability Technological Developments

Elsharif, Abeer A.; Mousa, Mosbah; Issa, Ahmed

doi:10.1109/icaretech49914.2020.00026

Cited by 3 publications

(1 citation statement)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mulsemedia learning theories help to stimulate the various sensory media for reinforcing the learning process [5]. Elsharif et al [6] have reported that the help of Mulsemedia creates a major impact to solve problems in rehabilitation technologies, assistive technology, and learning disability. Moreover, the previous finding shows that when providing sensory cues while reading, his/her cognitive load is reduced and learning enhanced [2].…”

Section: Introductionmentioning

confidence: 99%

Technology Enhanced Mulsemedia Learning (TEML) for Learners with Dyslexia

Mohana,

Da Silveira,

Suvetha

et al. 2023

Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops

View full text Add to dashboard Cite

Mulsemedia-multiple sensorial media-includes both traditional multimedia and human sensorial effects, which gives immersive real-world experience. The booming of new technology and wearable devices creates a new avenue for Mulsemedia research in education and has brought new opportunities for Technology Enhanced Mulsemedia Learning (TEML). Traditional methods focus on unisensory experiences, even though the surrounding environment is multisensory. Moreover, this type of learning helps to stimulate various sensory channels to reinforce the learning process, which can also more benefit individuals with a variety of learning disabilities particularly dyslexia which affects a person's ability to read. Moreover, TEML helps to obtain 21st-century learning skills such as cognitive, productivity, social-cultural, metacognitive, and technological dimensions. This paper proposes TEML for learners with dyslexia, for that, this study focuses on an approach for identifying methods for dyslexia, a method for designing Mulsemedia devices using IoT technology, and an evaluation method for performing quality of experience (QoS) using questionnaire, and physiological signals such as GSR (Galvanic Skin Responses), and EEG (Electroencephalography). Those methods help to analyze the learner's emotional responses while experiencing Mulsemedia content.

show abstract

Section: Introductionmentioning

confidence: 99%