Empirical Research in Affective Computing: An Analysis of Research Practices and Recommendations

Wessler, Janet; Schneeberger, Tanja; Hilpert, Bernhard; Alles, Alexandra; Gebhard, Patrick

doi:10.1109/acii52823.2021.9597418

Cited by 5 publications

(1 citation statement)

References 45 publications

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“…The results are divided into five sections: (a) results for each VE condition (positive, neutral, negative) when analysing the ‘VE video’, (b) results for each VE condition when analysing event-related measures relative to the occurrence of static and interactive objects, (c) memory accuracies for each VE, d) presence ratings for each VE, and e) individual differences in alexithymia ratings and their relation to arousal and valence ratings in each VE environment. The findings were presented by following the guidelines set by [ 65 ].…”

Section: Resultsmentioning

confidence: 99%

A reliable and robust online validation method for creating a novel 3D Affective Virtual Environment and Event Library (AVEL)

et al. 2023

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This paper describes the development and validation of 3D Affective Virtual environments and Event Library (AVEL) for affect induction in Virtual Reality (VR) settings with an online survey; a cost-effective method for remote stimuli validation which has not been sufficiently explored. Three virtual office-replica environments were designed to induce negative, neutral and positive valence. Each virtual environment also had several affect inducing events/objects. The environments were validated using an online survey containing videos of the virtual environments and pictures of the events/objects. They survey was conducted with 67 participants. Participants were instructed to rate their perceived levels of valence and arousal for each virtual environment (VE), and separately for each event/object. They also rated their perceived levels of presence for each VE, and they were asked how well they remembered the events/objects presented in each VE. Finally, an alexithymia questionnaire was administered at the end of the survey. User ratings were analysed and successfully validated the expected affect and presence levels of each VE and affect ratings for each event/object. Our results demonstrate the effectiveness of the online validation of VE material in affective and cognitive neuroscience and wider research settings as a good scientific practice for future affect induction VR studies.

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Section: Resultsmentioning

confidence: 99%