Suitability and Comparison of Questionnaires Assessing Virtual Reality-Induced Symptoms and Effects and User Experience in Virtual Environments

Somrak, Andrej; Pogačnik, M.; Guna, Jože

doi:10.3390/s21041185

Cited by 50 publications

(50 citation statements)

References 32 publications

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“…However, it should not be assumed that participants did not experience it. Future studies should include an assessment for cyber-sickness such as the Simulator Sickness Questionnaire (SSQ) or Fast Motion Sickness Score (FMS) ( Somrak et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Exploring the Use of Virtual Reality for the Delivery and Practice of Stress-Management Exercises

et al. 2021

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BackgroundMindfulness-based interventions may benefit healthcare professionals with burnout symptoms. Virtual reality (VR) may reduce initial difficulty of engaging in mindfulness exercises and increase participants’ engagement through immersion and presence.AimThe aim was to investigate how VR affects participants’ experience of engagement with mindfulness practice, and its impact on quality of practice and negative mood states.MethodsFifty-one healthcare professionals were randomized to receive either a visualization or non-visualization mindfulness practice, to compare the quality of practice through the use of audio only vs. with a virtual reality interface. Selected self-reported measures were collected during the session (immersion, quality and difficulty of practice, mood states and likelihood for future practice).ResultsResults showed that order instead of type of modality administered made a difference in quality of mindfulness practice. A greater sense of presence was reported with VR if administered after audio (F = 4.810, p = 0.033, Partial η2 = 0.093). Further, participants described difficulty practicing with audio if administered after VR (F = 4.136, p = 0.048, Partial η2 = 0.081). Additionally, lower mood disturbance was reported with VR if administered after audio (F = 8.116, p = 0.006, Partial η2 = 0.147). Qualitative responses echoed a preference for VR to engage better, in addition to improved mood states after practice.ConclusionFindings suggest that VR has the potential to provide healthcare professionals with an alternative or a supplement to conventional mindfulness practice.

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Section: Discussionmentioning

confidence: 99%

Exploring the Use of Virtual Reality for the Delivery and Practice of Stress-Management Exercises

et al. 2021

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“…These factors play a central role in the efficiency of the VR experience ( Slater, 2009 ; Skarbez et al, 2017 ) and the incidence of cybersickness ( Kourtesis et al, 2019b ; Weech et al, 2019 ). Future attempts should consider the administration of recently published cybersickness questionnaires ( Somrak et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

An Empirical Comparative Study on the Two Methods of Eliciting Singers’ Emotions in Singing: Self-Imagination and VR Training

Zhang

Zhou

et al. 2021

Front. Neurosci.

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Emotional singing can affect vocal performance and the audience’s engagement. Chinese universities use traditional training techniques for teaching theoretical and applied knowledge. Self-imagination is the predominant training method for emotional singing. Recently, virtual reality (VR) technologies have been applied in several fields for training purposes. In this empirical comparative study, a VR training task was implemented to elicit emotions from singers and further assist them with improving their emotional singing performance. The VR training method was compared against the traditional self-imagination method. By conducting a two-stage experiment, the two methods were compared in terms of emotions’ elicitation and emotional singing performance. In the first stage, electroencephalographic (EEG) data were collected from the subjects. In the second stage, self-rating reports and third-party teachers’ evaluations were collected. The EEG data were analyzed by adopting the max-relevance and min-redundancy algorithm for feature selection and the support vector machine (SVM) for emotion recognition. Based on the results of EEG emotion classification and subjective scale, VR can better elicit the positive, neutral, and negative emotional states from the singers than not using this technology (i.e., self-imagination). Furthermore, due to the improvement of emotional activation, VR brings the improvement of singing performance. The VR hence appears to be an effective approach that may improve and complement the available vocal music teaching methods.

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“…Among the questionnaire-based methods, we selected two: user experience questionnaire (UEQ) [ 15 ] and AttrakDiff [ 14 ]. We chose these methods because they are two of the most well-known and used standardized UX evaluation questionnaires [ 24 ], employed in several studies [ 13 , 25 , 26 , 27 , 28 ] and contexts, from the evaluation of educational platforms [ 7 , 29 , 30 ] to the evaluation of human-robot interaction [ 31 ]. Additionally, they were designed based on the same theoretical UX model proposed by Hassenzahl [ 32 ] and are comparable [ 15 ].…”

Section: Methodsmentioning

confidence: 99%

Are UX Evaluation Methods Providing the Same Big Picture?

Nakamura

Ahmed

Redmiles

et al. 2021

Sensors

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The success of a software application is related to users’ willingness to keep using it. In this sense, evaluating User eXperience (UX) became an important part of the software development process. Researchers have been carrying out studies by employing various methods to evaluate the UX of software products. Some studies reported varied and even contradictory results when applying different UX evaluation methods, making it difficult for practitioners to identify which results to rely upon. However, these works did not evaluate the developers’ perspectives and their impacts on the decision process. Moreover, such studies focused on one-shot evaluations, which cannot assess whether the methods provide the same big picture of the experience (i.e., deteriorating, improving, or stable). This paper presents a longitudinal study in which 68 students evaluated the UX of an online judge system by employing AttrakDiff, UEQ, and Sentence Completion methods at three moments along a semester. This study reveals contrasting results between the methods, which affected developers’ decisions and interpretations. With this work, we intend to draw the HCI community’s attention to the contrast between different UX evaluation methods and the impact of their outcomes in the software development process.

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Suitability and Comparison of Questionnaires Assessing Virtual Reality-Induced Symptoms and Effects and User Experience in Virtual Environments

Cited by 50 publications

References 32 publications

Exploring the Use of Virtual Reality for the Delivery and Practice of Stress-Management Exercises

Exploring the Use of Virtual Reality for the Delivery and Practice of Stress-Management Exercises

An Empirical Comparative Study on the Two Methods of Eliciting Singers’ Emotions in Singing: Self-Imagination and VR Training

Are UX Evaluation Methods Providing the Same Big Picture?

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