Quais são os métodos mais eficazes para medir o impacto emocional na realidade virtual?

Self report methods directly capture subjective experiences, which is effective for understanding the emotional impact in VR. I recommend integrating emotional responses seamlessly with behavioral data for a well rounded understanding and maintaining the immersive experience.

Several strategies can be employed to measure emotional impact. The simplest approach may involve observing the individual's behavior during the experience. A few years ago, we developed an experience related to the armed conflict in my country. It was approximately a one-minute experience where the user found themselves in a rural area, interacting with a character who unexpectedly stepped on a landmine. Many people were left in shock; some remained motionless, while others ended up in tears, despite the absence of explicit content. Additionally, we conducted brief interviews to understand participants' thoughts after undergoing the experience. This taught us a lot about the power of VR in conveying emotions.

Self-report methods, like questionnaires and interviews, are key in assessing emotional responses in VR. They provide direct insights into users' personal experiences. For instance, in a VR simulation designed for stress relief, users could complete a survey post-experience to rate their stress levels before and after. Though effective, these methods can have drawbacks, such as memory reliance and potential bias. A practical approach I've found helpful is integrating these surveys seamlessly within the VR experience, minimizing disruption and maintaining immersion. This approach ensures more accurate responses while preserving the user's engagement with the VR environment.

Impact in VR, physiological method, -behavior observation and user feedback, I think most important method to map. Method include analysing heart rate movement, eyes movement, body parts movement and main gathering subjective feedback survey is important

We are yet to have specific guidelines that can be standardised. Current existing guidelines to measure emotional impact are not comprehensive enough for all scenarios, therefore more research is required in order to collate an accurate methodology, guideline and scale for this important purpose.

Physiological methods in VR, such as tracking heart rate or skin response, offer valuable insights into emotional impacts. For instance, in a VR training simulation for first responders, a spike in heart rate might indicate stress or anxiety. These methods provide objective, real-time data on bodily reactions to VR experiences. However, challenges include the need for specialized equipment and the difficulty in pinpointing specific emotions based on physiological responses alone. To address this, combining physiological data with self-report surveys can be effective. This combination provides a more rounded view, capturing both the physical and subjective aspects of the emotional experience in VR.

I spoke to the owner of Kaptics recently. Kaptics is a company that specializes in sensor-based technology aimed at analyzing emotions for immersive applications. Their technology includes multimodal measurement with various biosensors for monitoring physiological signals, and is compatible with different VR headsets. Kaptics' platform facilitates the integration of biometric features into VR environments, enabling adaptive scenarios based on users' emotional states. They cater to sectors like entertainment, defense & aerospace, and healthcare, focusing on measuring user engagement and emotional responses in VR content.

Last night, I tried Pillow on Meta Quest. It used a technique to detect breathing of the user. It's a relaxation app and it actually got me to relax. I think breathing is a very powerful indicator of emotions. All sorts of emotions. We could technically evaluate one's breathing pattern to determine their feelings and emotional impact the experience is having on them. It can be done using the headset's microphone. Of course, it will have to work in a quite environment

Physiological methods in VR, such as tracking heart rate or skin response, offer valuable insights into emotional impacts. For instance, in a VR training simulation for first responders, a spike in heart rate might indicate stress or anxiety. These methods provide objective, real-time data on bodily reactions to VR experiences. However, challenges include the need for specialized equipment and the difficulty in pinpointing specific emotions based on physiological responses alone. To address this, combining physiological data with self-report surveys can be effective. This combination provides a more rounded view, capturing both the physical and subjective aspects of the emotional experience in VR.

EEG is a powerful tool for measuring brain activity and can be particularly insightful in understanding emotional responses in VR environments. Specific EEG Headsets for VR: 1. Consumer-grade EEG Headsets: Devices like the Emotiv EPOC+ and Muse are popular for their balance of affordability and effectiveness. These headsets are used in various research and consumer applications, including VR. 2. Medical-grade EEG Systems: These offer higher precision and more sensors. Brands like NeuroSky and BioSemi are known for their medical and research-grade equipment. EEG can provide profound insights into the emotional experiences of users in virtual reality, offering a window into how they are mentally and emotionally engaging with the VR content.

Using behavioral methods to measure emotional impact in VR is insightful, especially when observing how users interact within the virtual environment. For example, in a VR game, the way players navigate and interact with elements can reveal their emotional state, like excitement or frustration. This approach is valuable because it shows us real-time, natural reactions. However, it's important to consider the context and individual differences, as the same behavior might mean different things for different people. A helpful aspect is combining behavioral analysis with other techniques, like physiological measurements, to get a fuller picture of the emotional impact.

I wouldn't recommend this method because most VR users don't have headsets with eye tracking and using movement to track emotions would most likely be very inaccurate

This definitely could be one of the best way as behavioural changes are almost immediate. It won’t take alot of time to pick that behaviour and translate to form an emotional impact of VR.

En mi primer prototipo me toco realizar un proyecto para el ictus. Ahí desarrollé con un equipo de 6 personas a través de métodos conductuales. Utilizamos el método Foren y engañamos y entramos el cerebro para que el usuario a través de sensores en la cabeza estimular las neuronas espejo. Gracias a la VR la movilidad de la zona afectada podía ser engañada y así crear un entrenamiento.

Behavioral methods in VR, like tracking head movements, eye gaze, gestures, and speech, provide a window into users' emotional engagement. For example, rapid head turns in a VR thriller might indicate fear, while focused eye tracking in an educational VR setting reveals engagement. Gestures captured by motion sensors can show excitement, as seen in VR sports or dance games. Speech nuances, such as changes in tone or pace, can express emotions like joy or frustration in VR multiplayer games. While these methods offer contextual insights, they require careful interpretation and don't directly measure internal states. To overcome these limitations, combining them with physiological or self-report data is effective.

Combining various methods to measure emotional impact in VR, known as mixed methods, offers a thorough understanding of user experiences. For instance, in a VR therapeutic session, integrating self-reported emotional states with physiological data like heart rate and behavioral observations can provide a holistic view of the therapy's effectiveness. This method is particularly beneficial because it balances subjective self-reports with objective physiological and behavioral data, offering a well-rounded perspective. However, it requires careful planning to ensure the different data types are effectively integrated.

Combining two or more methods to measure emotional impact in VR is indeed a valid approach for obtaining a more comprehensive and holistic picture of users' emotional experiences.

Given more and more VR headsets are getting biosensor data (particularly eye tracking), making use of that data (what was the user looking at, for how long?) is extremely useful in terms of building a profile of responses

Yes a mixed method or a multimodal approach can provide a more comprehensive and reliable assessment of the emotional impact of VR, as different types of data can complement each other and capture different aspects of emotions.

Combining two or more methods to measure emotional impact in VR is indeed a valid approach for obtaining a more comprehensive and holistic picture of users' emotional experiences.

In VR emotional impact studies, clear research goals are vital. For instance, in emergency responder VR training, methods should focus on stress and decision-making. Ethical handling of user data is essential. Piloting VR content and measurement tools is a critical step, allowing for necessary adjustments. Cautious data analysis helps avoid misinterpretations. Transparency in reporting, acknowledging limitations, is key. Including user feedback on both their emotional experience and the VR content itself is beneficial, as it offers insights for refining the application and research approach.

Unlike any other platform, Virtual Reality headsets are very different. Accordingly best practise and recommendations differ a lot when it comes to safeguarding and measuring emotional impact. Below approaches may be effective based on my experience: 1. Measuring Behavioral Analysis: Body Language Observation,User Interaction Metrics. 2. Physiological Measures: Using heart rate monitorsn and eye tracking in definite span of time. 3. Always providing self-reporting tools like Surveys and Questionnaires. Always Ask users to rate their feelings or describe their emotional responses. Over all, there should be sufficient user-base. Based on inputs you received periodically, you need to evaluate your tools to measure emotional impact.

Ideally there should be good amount of user who are going to use this so we can get a good amount of data points. After that we can form some level of grading system which will evaluate a person's score against the group which we measured.

Antes de realizar cualquier tipo de medición deberíamos hacernos antes algunas preguntas: ¿Para qué queremos medir la emoción?: (Mejorar el contenido VR haciéndolo más excitante, Comprobar que el contenido es relevante para la audiencia, Hacer salientes las partes que generan más emociones, Comprobar el grado de aceptación, etc…). ¿Qué tipo de contenido en VR vamos a medir? (Juegos, proyecciones de video 360, video convencional, programas educativos, publicidad…). ¿Qué aspecto de la emoción nos interesa medir? (cualidad de la emoción -emociones positivas o negativas-), intensidad de la emoción, cantidad de emociones, novedad, aburrimiento…) En definitiva, dependiendo del caso será más efectivo y conveniente el uso de unos métodos u otros.

Il faut une approche méthodique et intégrée à l'expérience. Il est d'abord nécessaire d'équiper l'espace avec des capteurs avancés tels que des trackers de mouvement, des eye trackers et des microphones, et calibrer ces dispositifs pour capturer les mouvements de la tête, les regards, les gestes et les interactions verbales. La collecte en temps réel doit enregistrer chaque nuance de réaction comportementale. L'analyse de ces données doit se concentrer sur l'identification des modèles de réaction émotionnelle, en tenant compte des différences individuelles et contextuelles. L'interprétation des résultats doit se faire avec une compréhension nuancée en prenant en compte les limites techniques et les influences environnementales.

Develop highly intuitive feedback system in the game, where users only have to physically interact with animated buttons to answer questions so they can provide feedback.

Malgré ses nombreux avantages, l'intégration de la VR en entreprise présente des défis. Le coût des équipements et du développement de logiciels personnalisés peut être élevé, et il existe une courbe d'apprentissage pour les utilisateurs non familiers avec cette technologie. De plus, des questions concernant la cybersécurité et la protection de la vie privée doivent être abordées, car les environnements virtuels collectent et stockent des données sensibles.

Il est important, peu importe la méthode utilisée, de prendre en compte le contexte dans lequel se trouve l'utilisateur. Par cela, j'entend le moment de la journée où le test a été réalisé, le degré de fatigue, la psychologie de l'utilisateur, le sexe de l'utilisateur, ... Toutes ces variables peuvent radicalement changer la réponse de l'utilisateur quand bien même le test en RV serait le même, il est donc indispensable de bien les prendre en compte.

Quelles que soient les méthodes de récolte de datas utilisées, il convient de rester extrêmement vigilant quant à leur analyse. Il y a d'un côté, les faits, et de l'autre les hypothèses, jugements et interprétations... Les faits sont ce qu'ils sont, souvent irréfutables, bien que... Il est primordial de comparer les différentes données, de les analyser, de les comprendre pour essayer d'en retirer des informations. Mais attention à conserver un regard critique afin de bien questionner ces datas et les considérer dans un contexte global et au regard de certains éléments qui peuvent influencer les datas : quelles sont les conditions dans lesquelles elles ont été récoltées ? Qu'est-ce qui a pu impacter de telles données ?

Before conducting a VR session, thoroughly test and pilot both the VR content and the measurement methods. This step helps identify potential issues, refine the study protocol, and improve the accuracy of emotional impact assessment. Recognize the influence of contextual factors on emotional impact. Consider the specific content, narrative, or design elements within the VR experience that may contribute to or mitigate emotional responses.