In collaboration with Stanford University, we are creating a library of short Virtual CRASH animations of traffic events for experiments where different affective reactions need to be elicited with minimal perceptual and contextual confounds.
A key challenge in affective research involves choosing stimulus materials that would not only reliably elicit predictable emotional reactions, but would also be similar in terms of non-affective features such as size, color, framing, or amount of detail.
Existing libraries of affective stimuli often maximize one or these ideals at the expense of the other. Virtual events in simulated reality, however, may let us have our cake and eat it too. Our intention is to create events that differ in affective meaning while remaining near-identical perceptually and contextually.
We focus on traffic as a highly impactful context that is familiar for all urban populations. This work is pursued in collaboration with the developers of the Virtual CRASH accident reconstruction software. Below you will find our library of videos.
To the extent possible under law, vCRASH, Americas, Inc. has waived all copyright and related or neighboring rights to the videos posted below related to the "STEAR" Project. This work is published from: United States.