Filtering by
- Creators: Branaghan, Russell
The goal of this study was to look at touch and dance from different views to gain a better perspective on the benefits of touch, mainly when used in dance and also perhaps in broader contexts. Part of this investigation also looked at the stigmatized view of touch in the American culture and in turn the lack of knowledge about, and comfort with touch in our society. A personal research component involved the creation of a solo reflecting about the question of why I connect with touch so intensely. The bulk of the study involved facilitating touch experiences in two introductory level dance classes for high school students. Daily journal entries were collected from each of the eighty students that focused on their personal experiences with touch in a series of six movement sessions. The study shows that bringing touch to the dance classroom has multiple benefits, including promoting a greater understanding and acceptance of the sense of touch, a positive impact on students' views about dance, and a break down of preconceived notions about the mind and the body.
haptic information in many virtual-reality, augmented-reality, or teleoperation systems.
Three studies were conducted to examine the spatial and temporal characteristic of
multisensory integration. Participants interacted with virtual springs using both visual and
haptic senses, and their perception of stiffness and ability to differentiate stiffness were
measured. The results revealed that a constant visual delay increased the perceived stiffness,
while a variable visual delay made participants depend more on the haptic sensations in
stiffness perception. We also found that participants judged stiffness stiffer when they
interact with virtual springs at faster speeds, and interaction speed was positively correlated
with stiffness overestimation. In addition, it has been found that participants could learn an
association between visual and haptic inputs despite the fact that they were spatially
separated, resulting in the improvement of typing performance. These results show the
limitations of Maximum-Likelihood Estimation model, suggesting that a Bayesian
inference model should be used.