Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Casey Kennington"'
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-25
Video games that require players to utilize a target or second language to complete tasks have emerged as alternative pedagogical tools for Second Language Acquisition (SLA). With the exception of vocabulary acquisition, much of the prior research in
Autor:
Casey Kennington
Publikováno v:
2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).
Autor:
Benjamin Bettencourt, Arif Ahmed, Nic Way, Casey Kennington, Katherine Landau Wright, Jerry Alan Fails
Publikováno v:
Interaction Design and Children.
Autor:
Mir Tahsin Imtiaz, Casey Kennington
Publikováno v:
Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Health, Operations Management, and Design ISBN: 9783031060175
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f993483e16e1811f608870c43d751787
https://doi.org/10.1007/978-3-031-06018-2_24
https://doi.org/10.1007/978-3-031-06018-2_24
Autor:
G.L. Blankenship, Mari Ostendorf, Thomas M. Howard, Abeer Alwan, Debadeepta Dey, Carol Y. Espy-Wilson, Joyce Y. Chai, Ivana Kruijff-Korbayová, Cynthia Matuszek, David Traum, Roger K. Moore, Mary P. Harper, Nigel Ward, Robert St. Amant, Yoav Artzi, Tong Sun, Mohit Bansal, Heather Pon-Barry, Casey Kennington, Raymond J. Mooney, Hal Daumé, Dinesh Manocha, Stefanie Tellex, Ross Mead, Alexander I. Rudnicky, Matthew Marge, Matthias Scheutz, Zhou Yu
With robotics rapidly advancing, more effective human–robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be part of the solution, our ability to provide spoken language interacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::044c51d339513cbe60ef443ab0a567e9
https://eprints.whiterose.ac.uk/179240/7/1-s2.0-S0885230821000620-main.pdf
https://eprints.whiterose.ac.uk/179240/7/1-s2.0-S0885230821000620-main.pdf
Autor:
Jerry Fails, Ashlee Milton, Katherine Wright, Maria Soledad Pera, Casey Kennington, Garrett Allen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030997359
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cbbce7712a40d2f885cb5912f68304d
https://doi.org/10.1007/978-3-030-99736-6_1
https://doi.org/10.1007/978-3-030-99736-6_1
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 612:128468
Children learn their first language in a highly multimodal environment. This paper outlines a quantitative framework capturing children's typical language acquisition through multimodal conceptual features. Building on prior research from cognitive n
Autor:
Benjamin L Peterson, Jerry Alan Fails, Garrett Allen, Maria Soledad Pera, Katherine Landau Wright, Casey Kennington, Mostofa Najmus Sakib, Dhanush kumar Ratakonda
Publikováno v:
IDC
In this paper, we take a step towards understanding how to design search engine results pages (SERP) that encourage children’s engagement as they seek for online resources. For this, we conducted a participatory design session to enable us to elici
Publikováno v:
International Journal of Child-Computer Interaction. 32:100373
Children’s ability to spell effectively is a major barrier to using search engines successfully. While search engines make use of spellcheckers to provide spelling corrections to their users, they are designed for more traditional users (i.e., adul
Autor:
Brody Downs, Katherine Landau Wright, Maria Soledad Pera, Casey Kennington, Aprajita Shukla, Jerry Alan Fails, Garrett Allen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030722395
ECIR (2)
ECIR (2)
In this paper, we present BiGBERT, a deep learning model that simultaneously examines URLs and snippets from web resources to determine their alignment with children’s educational standards. Preliminary results inferred from ablation studies and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73865a1029fb86e88ac6c9c156da7b5b
https://doi.org/10.1007/978-3-030-72240-1_13
https://doi.org/10.1007/978-3-030-72240-1_13