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of 4
pro vyhledávání: '"Lotta-Gili Blumberg"'
Publikováno v:
UIST (Adjunct Volume)
We demonstrate the design of adaptive tools for motor skill training that use shape change to automatically vary task difficulty based on a learner’s performance. Studies [1] have shown that automatically-adaptive tools lead to significantly higher
Publikováno v:
Conference on Designing Interactive Systems
A recent study on motor-skill training showed that adaptive training tools that use shape-change to adapt the training difficulty based on learners’ performance can lead to higher learning gains. However, to date, no support tools exist to help des
Publikováno v:
TEI
Adaptive tools that can change their shape to support users with motor tasks have been used in a variety of applications, such as to improve ergonomics and support muscle memory. In this paper, we investigate whether shape-adapting tools can also hel
Autor:
Junyi Zhu, Lotta-Gili Blumberg, Yunyi Zhu, Martin Nisser, Ethan Levi Carlson, Xin Wen, Kevin Shum, Jessica Ayeley Quaye, Stefanie Mueller
Publikováno v:
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems.