EmojiGrid
Affective self-report tool
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Applications
The EmojiGrid was inspired by Russell's Affect Grid and was originally developed and validated for the affective appraisal of food stimuli, since conventional affective self-report tools (e.g., the Self-Assessment Manikin) are frequently misunderstood in that context. It has since been used and validated for the affective appraisal of a wide range of affective stimuli such as images, audio and video clips, 360 VR videos, touch events, food, and odors. It has also been used for the affective analysis of architectural spaces to assess affective experience of trail racing, and to assess the emotional face evaluation capability of people with early dementia. Since it is intuitive and language independent, the EmojiGrid is also suitable for cross-cultural research.
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Implementation
In a computer-based response paradigm, only the image area inside the horizontal and vertical grid borders should be responsive (clickable), so that users can report their affective response by pointing and/or clicking inside the grid. In practice, this may be achieved by superimposing (1) a clickable image of the unlabeled grid area on top of (2) a larger image showing the grid area together with the emoji labels. The images needed to implement the EmojiGrid are freely available from the OSF repository. An implementation of the EmojiGrid rating task in the Gorilla experiment builder is freely available from the Gorilla Open Materials platform.