Electrodermal activity (EDA) is indicative of psychological processes related to human cognition and emotions. Previous research has studied many methods for extracting EDA features; however, their appropriateness for emotion recognition has been tested using a small number of distinct feature sets and on different, usually small, data sets. In the current research, we reviewed 25 studies and implemented 40 different EDA features across time, frequency and time-frequency domains on the publicly available AMIGOS dataset. We performed a systematic comparison of these EDA features using three feature selection methods, Joint Mutual Information (JMI), Conditional Mutual Information Maximization (CMIM) and Double Input Symmetrical Relevance (DISR) and machine learning techniques. We found that approximately the same numbers of features are required to obtain the optimal accuracy for the arousal recognition and the valence recognition. Also, the subject-dependent classification results were significantly higher than the subject-independent classification for both arousal and valence recognition. Statistical features related to the Mel-Frequency Cepstral Coefficients (MFCC) were explored for the first time for the emotion recognition from EDA signals and they outperformed all other feature groups, including the most commonly used Skin Conductance Response (SCR) related features.

This study examines the effects of the immersive presentation of nonfiction omnidirectional video on audiences’ cognitive processing. Participants watched a sample of 360°-video nonfiction content, presented either in a virtual reality headset or on a computer screen. Measures of heart rate variability and electrodermal activity were collected, together with self-reported ratings of presence, information recognition, and memory. The results indicate that the immersive presentation elicits higher arousal and presence, but also lower focused attention, recognition, and cued recall of information. These effects on focused attention and memory were not mediated by variations on arousal or presence. Implications are discussed in terms of the psychological effects of immersive media, as well as their relevance for media practitioners.

Immersive storytelling is widely considered to have a great potential to foster empathy toward suffering people, as well as to provide enjoyable experiences able to attract wider audiences. This article examines how the immersive presentation of 360-video nonfiction contents impacts both empathy toward the characters and enjoyment of the experience and the interplay between these two psychological outcomes. Participants watched a series of 360-video stories presented either on a virtual reality headset or a screen, and measures of spatial presence, empathy (in terms of perspective taking and empathic concern), and enjoyment were collected. Mediation analyses and structural equation models showed a direct positive effect of spatial presence on perspective taking and empathic concern, and an indirect negative effect of immersive presentation on empathic concern through enjoyment. These findings indicate that enjoyment of pleasurable aspects of the experience may hinder the affective dimension of empathy toward the characters, and point out to the need to carefully consider the targeted reactions from the audience, since different intended psychological outcomes may not be fully compatible.

Similar to debates about other new media technologies in the past, with the popularization of virtual reality (VR) technologies, concerns are raised about their potential to breed media addiction. In response to these concerns, the aim of this research was to provide a first examination of the prevalence of addiction to VR application use. An online survey was conducted among frequent VR users (N= 754), and measures of the different components of addiction were obtained, as well as demographics, hours of weekly use, type of apps used, and feelings of spatial presence and embodiment during VR app use. The results indicate that between 2% and 20% of users reveal compulsive VR use, depending on the classification criteria used. These prevalence estimates are similar to those of other activities such as the use of (non-VR) video games or the use of social networking sites. Therefore, the results suggest that VR applications do not have a higher addictive potential than other more traditional technologies. However, feelings of embodiment when using VR positively predict addiction. This may suggest that future developments of VR technology could, perhaps, also increase its addictive potential compared to other technologies.

Objective measurements of engagement are increasingly sought after by both the media industry and scholar communities to explain what drives people to consume audiovisual contents. However, engagement is a complex construct that, at the psychological level, has been mainly operationalised through indicators of attentional and emotional processes, often overlooking motivational factors. We claim that in the context of news consumption, motivation, operationalised as intrinsic interest for consuming a given content, needs to be factored in together with attentional and emotional processes. The present work provides an objective metric for motivation based on electroencephalographic (EEG) registration of users' neural activity, while they read sets of news pre-classified in terms of their potential interest. We focus on a metric that has been used as an indicator of the degree to which an item or event induces the motivation to approach or escape, the so called frontal alpha asymmetry (FAA). Moreover, in addition to the traditional approach to the analysis of EEG signals, we also introduce a more novel technique based on estimating the entropy of the signals. Results confirm that FAA is indeed a good proxy for objective monitoring of interest in media contents and that entropy analysis, although its interpretation in terms of information processing warrants further investigation, is also sensitive to the manipulation of interest, providing results that complement traditional power spectrum analysis.