@inproceedings{16063276b7f94cc18256f56840aeab41,
title = "Exploring Feedback-based Testing Effects for Skin Reading",
abstract = "Recent studies demonstrate people's ability to interpret vibrotactile encoded symbols and words with a few hours of training. However, reducing the time and effort required to learn the associations between vibrotactile patterns and encoded information remains a challenge and a potential barrier to adopting such a technology. This work investigates how feedback during intermediate testing reinforces the training effect. A study with 25 participants shows that feedback during testing leads to a steeper learning curve and increases participants' confidence during the training procedure.",
keywords = "feedback-based testing, HCI, skin reading, tactile displays, tactile feedback, testing, training, user study, wearable",
author = "Granit Luzhnica and Aleksandra Krajnc and Eduardo Veas",
note = "Funding Information: This work is partially funded by Know-Center. Know-Center is funded within the Austrian COMET Program, under the auspices of the Austrian Federal Ministry of Transport, Innovation and Technology, the Austrian Federal Ministry of Economy, Family and Youth and by the State of Styria. COMET is managed by the Austrian Research Promotion Agency FFG. Publisher Copyright: {\textcopyright} 2022 ACM.; 2022 Augmented Humans Conference : AHs 2022, AHs 2022 ; Conference date: 13-03-2022 Through 15-03-2022",
year = "2022",
month = mar,
day = "13",
doi = "10.1145/3519391.3519393",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association of Computing Machinery",
pages = "212--217",
booktitle = "Proceedings of Augmented Humans Conference 2022, AHs 2022",
address = "United States",
}