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Tobias Polly

dblp:248/9624 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 77% Learning and educational technologies · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › haptics
passive haptic learning
0.412019
Reevaluating passive haptic learning of morse code · UbiComp 2019
Learning and educational technologies › embodied learning
haptic learning
0.112019
Reevaluating passive haptic learning of morse code · UbiComp 2019

Methods — techniques the papers use, named apart from their topics

user study · 0.4
YearPublicationVenuePosition
2019 Reevaluating passive haptic learning of morse code
abstract
Passive Haptic Learning (PHL) describes the learning of a motion, sequence or pattern without voluntary involvement of attention, focus or motivation through a haptic interface. In previous PHL studies about teaching Morse code, we suspect that active learning processes were at least partially involved in causing extraordinarily high learning rates. Therefore we conduct a similar, 50-participant user study to investigate whether PHL is able to teach Morse code without active attention. Our study design differs from previous studies by preventing active learning explicitly (no feedback given) and implicitly (non-Morse patterns, tests prevent learning by rule of elimination) for three groups. Two other groups get the same feedback as was present in other studies. Our results show much lower learning rates when there is no active learning possible. Including active learning, we replicate the same learning results as have been reported. This suggests that our suspicion was correct and that PHL of Morse Code is possible, but greatly limited. Further studies about PHL must pay attention to whether their study design allows participants to learn actively - even small amounts of information that is actively learned may have a great impact on learning performance.
Erik Pescara, Tobias Polly, Andrea Schankin, Michael Beigl
UbiComp2