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Janick Michot

dblp:325/5867 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2024
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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.

Artificial intelligence
1 paper
Speech recognition and synthesis · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis
automatic speech recognition
0.812024
Error-preserving Automatic Speech Recognition of Young English Learners' Language · ACL (1) 2024
Computing education
language learning
0.212024
Error-preserving Automatic Speech Recognition of Young English Learners' Language · ACL (1) 2024
YearPublicationVenuePosition
2024 Error-preserving Automatic Speech Recognition of Young English Learners' Language
abstract
Janick Michot, Manuela Hürlimann, Jan Deriu, Luzia Sauer, Katsiaryna Mlynchyk, Mark Cieliebak. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
Janick Michot, Manuela Hürlimann, Jan Deriu, Luzia Sauer, Katsiaryna Mlynchyk, Mark Cieliebak
ACL (1)1
2024 Friendship with AI? - Immersive Science Fiction Prototyping for Responsible Innovation
Elke Brucker-Kley, Thomas Keller 0006, Janick Michot, Birgitta Borghoff, Isabelle Stutz
ICIDS (2)3
2022 Work-In-Progress - Virtual Reality for Basic Vocational Training
abstract
Virtual Reality as a learning technology has been indicated numerous times to be an evident improvement over conventional learning methods. This work-in-progress paper describes and analyses the didactic and design factors for an effective use of virtual reality for basic vocational training. Guided by pedagogical principles for effective teaching and learning, a prototype of a virtual learning unit for apprentices in the field of electrical installation was developed. The impact of this learning unit on learning success is to be evaluated in an ongoing field study in Switzerland.
Teodora Nechita, Reto Knaack, Thomas Keller 0006, Elke Brucker-Kley, Janick Michot
iLRN6