Ekman's emotions (1992) are defined as universal basic emotions. Over the years, alternative models have emerged (e.g. Greene and Haidt 2002; Barrett 2017) describing emotions as social and linguistic constructions. The variety of models existing today raises the question of whether the abstraction provided by such models is sufficient as a descriptive/predictive tool for representing real-life emotional situations. Our study presents a social inquiry to test whether traditional models are sufficient to capture the complexity of daily life emotions, reported in a textual context. The intent of the study is to establish the human-subject agreement rate in an annotated corpus based on Ekman's theory (Entity-Level Tweets Emotional Analysis) and the human-subject agreement rate when using Ekman's emotions to annotate sentences that don’t respect the Ekman’s model (The Dictionary of Obscure Sorrows). Furthermore, we investigated how much alexithymia can influence the human ability to detect and categorise emotions. On a total sample of 114 subjects, our results show low within subjects agreement rates for both datasets, particularly for subjects with low levels of alexithymia; low levels of agreement with the original annotations; frequent use of emotions based on Ekman model, particularly negative one, in people with high levels of alexithymia.

Intro: Aggressive behavior represents a significant public health issue, with relevant social, political, and security implications. Non-invasive brain stimulation (NIBS) techniques may modulate aggressive behavior through stimulation of the prefrontal cortex. Aims: To review research on the effectiveness of NIBS to alter aggression, discuss the main findings and potential limitations, consider the specifics of the techniques and protocols employed, and discuss clinical implications. Methods: A systematic review of the literature available in the PubMed database was carried out, and 17 randomized sham-controlled studies investigating the effectiveness of NIBS techniques on aggression were included. Exclusion criteria included reviews, meta-analyses, and articles not referring to the subject of interest or not addressing cognitive and emotional modulation aims. Conclusions: The reviewed data provide promising evidence for the beneficial effects of tDCS, conventional rTMS, and cTBS on aggression in healthy adults, forensic, and clinical samples. The specific stimulation target is a key factor for the success of stimulation on aggression modulation. rTMS and cTBS showed opposite effects on aggression compared with tDCS. However, due to the heterogeneity of stimulation protocols, experimental designs, and samples, we cannot exclude other factors that may play a confounding role.

Autonomous driving systems promise important changes for future of transport, primarily through the reduction of road accidents. However, ethical concerns, in particular, two central issues, will be key to their successful development. First, situations of risk that involve inevitable harm to passengers and/or bystanders, in which some individuals must be sacrificed for the benefit of others. Secondly, and identification responsible parties and liabilities in the event of an accident. Our work addresses the first of these ethical problems. We are interested in investigating how humans respond to critical situations and what reactions they consider to be morally right or at least preferable to others. Our experimental approach relies on the trolley dilemma and knowledge gained from previous research on this. More specifically, our main purpose was to test the difference between what human drivers actually decide to do in an emergency situations whilst driving a realistic simulator and the moral choices they make when they pause to consider what they would do in the same situation and to better understand why these choices may differs. Keywords: Self-driving Cars; Trolley Problem; Moral Choices; Moral Responsibility; Virtual Reality Dilemmi morali nelle automobili a guida autonoma Riassunto: I sistemi di guida autonomi promettono importanti cambiamenti per il futuro dei trasporti, principalmente attraverso la riduzione degli incidenti stradali. Tuttavia, vi sono preoccupazioni etiche, in particolare due questioni centrali, fondamentali per il loro sviluppo. In primo luogo, le situazioni di rischio che comportano inevitabili danni ai passeggeri e/o ai pedoni, ovvero situazioni in cui alcune persone devono essere sacrificate a beneficio di altri. In secondo luogo, l’identificazione delle parti responsabili in caso di incidente. Il nostro lavoro affronta il primo di questi problemi etici. Siamo interessati a studiare come gli umani rispondono a situazioni critiche e quali reazioni considerano moralmente giuste o almeno preferibili. Il nostro approccio sperimentale si basa sul trolley problem e sulle conoscenze acquisite da precedenti ricerche su questo ambito. Più specificamente, il nostro scopo principale è quello di testare la differenza tra ciò che i conducenti umani decidono effettivamente di fare in una situazione di emergenza, mentre guidano un simulatore realistico, e le scelte morali che compiono se posti nella stessa situazione e hanno la possibilità di decidere senza limiti di tempo. Lo scopo è inoltre comprendere come e perché queste scelte possono differire. Parole chiave: Automobili a guida autonoma; Trolley problem; Scelte morali; Responsabilità morale, Realtà virtuale

In this article we describe and evaluate a VR application, designed with a novel approach that allows personalized interaction and a more immersive virtual experience. This VR system uses both a user-based methodology in which the user expresses his/her emotions by interacting directly with the environment; and an artificial intelligence-driven methodology that is based on automated language systems able to detect user emotion and moral values from verbal speech. In this study we evaluated the usability and immersivity of our system on a sample of 30 museum visitors. The results indicate that our application is easy and pleasant to use for visitors, and that positive assessments are significantly associated with the level of immersion and realism experienced within the virtual environment. Additionally, we found a low incidence of motion sickness among users.

Peri-personal space (PPS) refers to the area immediately surrounding our body where interactions with objects and others occur. Immersive virtual reality (IVR) offers a controlled and adaptable environment, enabling the precise modulation of PPS boundaries. This provides significant benefits across various fields, including enhancing spatial awareness, advancing therapeutic interventions, and improving ergonomic designs. This systematic review aims to synthesize and evaluate the existing literature on this topic through various methodologies. To achieve this, three databases, PubMed, Scopus, and Web of Science, were searched following the PRISMA framework. Twenty studies met the eligibility criteria, were assessed for quality, and were included in the review. Across all studies, IVR was utilized to provide multisensory interactions and implement methods were used to manipulate PPS boundaries. The review categorizes PPS extension methods into three main domains: tool-use extension, extension related to tool use, social interaction extension, and embodiment-related extension. The findings confirm IVR’s potential to expand PPS boundaries and offer recommendations for leveraging this technology in future research. This work highlights the importance of IVR in advancing our understanding of PPS and its practical applications across diverse contexts.

Women are disproportionately subjected to the widespread social problem of street harassment. This study focuses on catcalling, a specific form of harassment characterized by unsolicited verbal or gestural comments often centered on physical appearance. To investigate the emotional and cognitive impact of this experience, we employ an immersive virtual reality (VR) paradigm wherein male participants embody a female avatar to experience street harassment firsthand. Participants’ emotional responses were assessed through both explicit self-reports, guided by Ekman’s emotion model, and implicit measures derived from a semantic analysis of their verbal reactions. Our findings reveal two primary outcomes: first, the experience elicited heightened feelings of anger and disgust, emotions frequently associated with moral disapproval; second, a significant correlation emerged between the intensity of these emotions and the subjective sense of virtual embodiment. This research also introduces an AI-driven method for simulating cognitive and neural patterns associated with the experience. These results underscore the potential of VR as a tool for promoting social safety, with significant applications for clinical and educational interventions.