The Effect of Immersion on Emotional Responses to Film Viewing in a Virtual Environment

Kim, Aelee; Chang, Moon Jong; Choi, Yong‐Kook; Jeon, Sohyeon; Lee, Kyoungmin

doi:10.1109/vr.2018.8446046

Cited by 28 publications

(20 citation statements)

References 5 publications

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“…The average age of the subjects was 22.19±2.13 years, and the average years of education were 16.04±2.10 years. To exclude the learning transfer effect caused by the two experimental modes and avoid irritability or fatigue effects caused by the prolonged experimental time, each participant could only participate in one group of experiments, as was determined by the experimental grouping method of Kim et al [ 24 ], Ding et al [ 1 ], and He et al [ 16 ]. All participants were tested between 9:00 AM-11:30 AM and 14:00 PM-16:30 PM to eliminate the potential confounding effects of circadian rhythms.…”

Section: Methodsmentioning

confidence: 99%

Emotional arousal in 2D versus 3D virtual reality environments

et al. 2021

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Previous studies have suggested that virtual reality (VR) can elicit emotions in different visual modes using 2D or 3D headsets. However, the effects on emotional arousal by using these two visual modes have not been comprehensively investigated, and the underlying neural mechanisms are not yet clear. This paper presents a cognitive psychological experiment that was conducted to analyze how these two visual modes impact emotional arousal. Forty volunteers were recruited and were randomly assigned to two groups. They were asked to watch a series of positive, neutral and negative short VR videos in 2D and 3D. Multichannel electroencephalograms (EEG) and skin conductance responses (SCR) were recorded simultaneously during their participation. The results indicated that emotional stimulation was more intense in the 3D environment due to the improved perception of the environment; greater emotional arousal was generated; and higher beta (21–30 Hz) EEG power was identified in 3D than in 2D. We also found that both hemispheres were involved in stereo vision processing and that brain lateralization existed in the processing.

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Section: Methodsmentioning

confidence: 99%

Emotional arousal in 2D versus 3D virtual reality environments

et al. 2021

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“…16 reports stated their mean age groups ranging between 15.29 and 30 with an exception that there was a study on ASD (autism spectrum disorder) group being the youngest with the mean age of 15.29. Another 4 only reported their participants' age ranging between 18 and 28 [ 106 , 120 , 141 , 150 ] while 2 other studies only reported they had volunteers from their university students [ 98 , 115 ] and 1 other report stated they had 2 additional institutions volunteered in addition to their own university students [ 118 ].…”

Section: Examining Previous Studiesmentioning

confidence: 99%

EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities

Suhaimi

Mountstephens

Teo

2020

Computational Intelligence and Neuroscience

225

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Emotions are fundamental for human beings and play an important role in human cognition. Emotion is commonly associated with logical decision making, perception, human interaction, and to a certain extent, human intelligence itself. With the growing interest of the research community towards establishing some meaningful “emotional” interactions between humans and computers, the need for reliable and deployable solutions for the identification of human emotional states is required. Recent developments in using electroencephalography (EEG) for emotion recognition have garnered strong interest from the research community as the latest developments in consumer-grade wearable EEG solutions can provide a cheap, portable, and simple solution for identifying emotions. Since the last comprehensive review was conducted back from the years 2009 to 2016, this paper will update on the current progress of emotion recognition using EEG signals from 2016 to 2019. The focus on this state-of-the-art review focuses on the elements of emotion stimuli type and presentation approach, study size, EEG hardware, machine learning classifiers, and classification approach. From this state-of-the-art review, we suggest several future research opportunities including proposing a different approach in presenting the stimuli in the form of virtual reality (VR). To this end, an additional section devoted specifically to reviewing only VR studies within this research domain is presented as the motivation for this proposed new approach using VR as the stimuli presentation device. This review paper is intended to be useful for the research community working on emotion recognition using EEG signals as well as for those who are venturing into this field of research.

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“…While isolated insights into immersion factors exist [e.g., 4,17,40], a holistic understanding of what exactly facilitates and what hinders individuals' immersion into VR is missing. Only few studies have evaluated VR immersion factors in depth [e.g., 25,28,36]. In the study of Hudson et.…”

Section: Immersion In Virtual Realitymentioning

confidence: 99%

“…The researchers examine person-VE interaction as an influencing factor of users' VR immersion using an immersive underwater VR experience [25]. Kim et al [28] investigate users' level of immersion on emotional responses while watching a movie using HMD vs. No-HMD and horror vs. empathy content. They have demonstrated that users' level of immersion is dependent to the degree of arousal and perceptual cues [28].…”

Section: Immersion In Virtual Realitymentioning

confidence: 99%

See 1 more Smart Citation

Lose Yourself in VR: Exploring the Effects of Virtual Reality on Individuals’ Immersion

Winkler¹,

Roethke²,

Siegfried³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Virtual reality (VR) technology generates an interactive virtual environment (VE) creating unique users' experiences. A central part of VR experience is being immersed into a VE. Immersion factors, such astechnological and perceptual features, are described in detail in non-immersive VR settings. However, advancements in VR technology, such as head-mounted displays with high resolution and precise motion tracking systems, that improve interactivity within the VE are not yet adequately considered. We conducted twelve semi-structured interviews immediately after respondents played highly immersive games using state-of-the-art VR equipment to identify novel immersion factors in this setting. The findings yield eleven immersion factors across three categories: (1) physical and physiological aspects, (2) cognitive and affective aspects, (3) social interaction and shared experience. Within these categories factors named "shared experience" and "translating actions from physical to virtual reality" were found as novel immersion factors in the VR context.

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The Effect of Immersion on Emotional Responses to Film Viewing in a Virtual Environment

Cited by 28 publications

References 5 publications

Emotional arousal in 2D versus 3D virtual reality environments

Emotional arousal in 2D versus 3D virtual reality environments

EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities

Lose Yourself in VR: Exploring the Effects of Virtual Reality on Individuals’ Immersion

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