Perception of Recycled Plastics for Improved Consumer Acceptance through Self-Reported and Physiological Measures.

This article aims to provide in-depth insight into how consumers perceive recycled materials in comparison with natural raw materials at both the perceptual and attitudinal levels. To this end, we combined classic self-reported measures of sensory aspects, preferences, environmental attitudes, and consumption habits together with physiological measures of cognitive-emotional processing. Three different materials-two recycled materials, M2 and M3, and one raw material, M1-were chosen for inspection through three different sensory conditions, which we refer to as channels -visual, tactile, and visuo-tactile. The assignation of materials to sensory channels was counterbalanced so that each participant evaluated only one of the materials per channel. Although participants in general were not very accurate in discriminating between the materials, self-reported sensory evaluations showed that M3 (a recycled material that is made to look non-recycled), was clearly less liked. Meanwhile, the psychophysiological analyses revealed higher levels of electrodermal activity for the tactile evaluations of both recycled materials (M2 and M3). Finally, the results from the attitudes and habits evaluations indicate that the participants had positive environmental attitudes yet poor consumption habits. Altogether, these results suggest that some sensorial properties differ between recycled materials and natural raw materials and that there is a chance to improve and implement new consumption habits. The implications of these results are further discussed both in terms of suggestions for designers and methodological recommendations for researchers.

An "Empathy Machine" or a "Just-for-the-Fun-of-It" Machine? Effects of Immersion in Nonfiction 360-Video Stories on Empathy and Enjoyment.

Immersive storytelling is widely considered to have a great potential to foster empathy toward suffering people, as well as to provide enjoyable experiences able to attract wider audiences. This article examines how the immersive presentation of 360-video nonfiction contents impacts both empathy toward the characters and enjoyment of the experience and the interplay between these two psychological outcomes. Participants watched a series of 360-video stories presented either on a virtual reality headset or a screen, and measures of spatial presence, empathy (in terms of perspective taking and empathic concern), and enjoyment were collected. Mediation analyses and structural equation models showed a direct positive effect of spatial presence on perspective taking and empathic concern, and an indirect negative effect of immersive presentation on empathic concern through enjoyment. These findings indicate that enjoyment of pleasurable aspects of the experience may hinder the affective dimension of empathy toward the characters, and point out to the need to carefully consider the targeted reactions from the audience, since different intended psychological outcomes may not be fully compatible.

Deconstructing multisensory enhancement in detection.

The mechanisms responsible for the integration of sensory information from different modalities have become a topic of intense interest in psychophysics and neuroscience. Many authors now claim that early, sensory-based cross-modal convergence improves performance in detection tasks. An important strand of supporting evidence for this claim is based on statistical models such as the Pythagorean model or the probabilistic summation model. These models establish statistical benchmarks representing the best predicted performance under the assumption that there are no interactions between the two sensory paths. Following this logic, when observed detection performances surpass the predictions of these models, it is often inferred that such improvement indicates cross-modal convergence. We present a theoretical analyses scrutinizing some of these models and the statistical criteria most frequently used to infer early cross-modal interactions during detection tasks. Our current analysis shows how some common misinterpretations of these models lead to their inadequate use and, in turn, to contradictory results and misleading conclusions. To further illustrate the latter point, we introduce a model that accounts for detection performances in multimodal detection tasks but for which surpassing of the Pythagorean or probabilistic summation benchmark can be explained without resorting to early cross-modal interactions. Finally, we report three experiments that put our theoretical interpretation to the test and further propose how to adequately measure multimodal interactions in audiotactile detection tasks.