For example, in therapy, the Emotion Wheel can be a visual cue to discuss and label one’s emotions or try to generate an emotion that has been suppressed. The results show the flexibility of this tool to perform analysis on different levels. Using the Geneva Emotion Wheel to Classify the Expression of Emotion on Robots. The Emotion Wheel can be a useful tool in individual therapy, group settings, or on your own to identify, generate, and explore the complexity of emotions. We tested this application with two experiments with two distinct emotion elicitation protocol designs. This digital instrument was developed as a standalone and configurable open source application for android devices. It is based on an existing emotional measure instrument: the Geneva Emotion Wheel (GEW), that we adapted to mobile devices. These tools should be adapted to the specificity of the experimentation context and help the users report their feelings.In the scope of a project on automatic emotion recognition through smartphone sensors, we developed an android application to assess users' subjective feelings: Geneva Emotion Wheel Mobile Interfaces (GEWMI). Factors that make the GEW advantageous over existing evaluation methods include: ease of administration, reduction in the. Among other emotional components, the subjective feeling, which could convey a verbalization of the emotional experience, needs specific tools to be assessed. This research proposes that the Geneva Emotion Wheel (GEW), a self-report instrument for measuring emotional reactions, has strong potential for use as a tool for evaluating the expression of affective content by robots. Experimenting on smartphones brings many challenges in order to record usable data. Indeed, inferring a person's emotions involves considering many features, creating specific tools and designing an adapted methodology. made the last click in the emotion wheel for item 1 to 83 Timespent3(1-83): Time in seconds between when the clip stopped playing and the participant. Therefore, affective computing is increasingly focusing on these devices as objects of investigation.However, studying emotions remains a complex task. The Geneva Emotion Recognition Test (GERT Schlegel, Grandjean, & Scherer, 2014) is a performance-based test to measure individual differences in peoples ability to recognize others. The ability to clearly communicate a wide range of emotional states is considered a desirable trait for social robots. Moreover, through their sensors, they are able to record suitable data to study users' emotions. This research proposes that the Geneva Emotion Wheel (GEW), a self-report instrument for measuring emotional reactions, has strong potential for use as a tool for evaluating the expression of affective content by robots. Their connectivity, mobility and versatility have made them an essential part of our everyday life. Over the last few years, the use of smartphones has significantly changed our relationship with technology.
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