Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Kyla McMullen"'
Autor:
Terek Arce, Kyla McMullen
Publikováno v:
Computers in Human Behavior Reports, Vol 4, Iss , Pp 100099- (2021)
Spatial memory is the part of memory that allows us to remember where things are in the environment. It is critical to everyday function and interaction. A number of tests have been developed for measuring spatial memory. One of the most commonly use
Externí odkaz:
https://doaj.org/article/16677c4563b247b5a8e661dc3bf84ecc
Autor:
Armisha Roberts, Kyla McMullen
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 66:1235-1239
Virtual reality (VR) and augmented reality (AR) are gaining commercial popularity. 3D sound guidelines for AR and VR are derived from psychoacoustic experiments performed in contrived, sterile laboratory settings. Often, these settings are expensive,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::947bcef7f68ba7ad846a0dcd0955e51d
https://doi.org/10.1177/1071181322661494
https://doi.org/10.1177/1071181322661494
Autor:
Kyla McMullen, Yunhao Wan
Publikováno v:
The Journal of the Acoustical Society of America. 151:1277-1293
This review presents a high-level overview of the uses of machine learning (ML) to address several challenges in spatial auditory display research, primarily using head-related transfer functions. This survey also reviews and compares several categor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2daac6c35efdeef01060be4ba3aff1a0
https://doi.org/10.1121/10.0007486
https://doi.org/10.1121/10.0007486
Publikováno v:
2021 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a139b6a0aeb92d20b11aac90df145f88
https://doi.org/10.1109/respect51740.2021.9620691
https://doi.org/10.1109/respect51740.2021.9620691
Publikováno v:
SIGCSE
Navigating the intersection of both race and gender can be difficult for Black women in academia, especially when they lack representation, and proper support, which forces many to "learn on the fly." This panel convenes Black women in diverse facult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fb4c46472b7db0ec9fe9475ffc5ae1d
https://doi.org/10.1145/3408877.3432565
https://doi.org/10.1145/3408877.3432565
Autor:
Cynthia Lee, Gretchen Achenbach, Kyla McMullen, Beth A. Quinn, Vidushi Ojha, Colleen M. Lewis
Publikováno v:
SIGCSE
The goal of the session is to help attendees who are committed to diversity and inclusion learn to talk about different dimensions of identity (e.g., race, class, gender, sex, sexuality, etc.). The landscape of terms is always changing and we want SI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eae9d42693ea819bf9d959cea5c81acb
https://doi.org/10.1145/3408877.3432581
https://doi.org/10.1145/3408877.3432581
Publikováno v:
2019 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d781f2fa766ff6451dbb0faf8a32c600
https://doi.org/10.18260/1-2--32638
https://doi.org/10.18260/1-2--32638
Autor:
Shaundra Daily, Juan Gilbert, Wanda Eugene, Christina Gardner-McCune, Kyla McMullen, Phillip Hall, Sekou Remy, Damon Woodard, Tania Roy
Publikováno v:
2013 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64db90d834cc17c63b4f5a56238e0130
https://doi.org/10.18260/1-2--19158
https://doi.org/10.18260/1-2--19158
Publikováno v:
2020 8th International Winter Conference on Brain-Computer Interface (BCI).
In the past decade, the usage of brain-computer interfaces (BCI) in affective computing applications has received much attention within human-computer interaction (HCI) applications. Generally, affective brain-computer interfaces are utilized in user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0e01219958dba9a0baac0db375d8397
https://doi.org/10.1109/bci48061.2020.9061664
https://doi.org/10.1109/bci48061.2020.9061664
Publikováno v:
ICASSP
Acoustic scattering is strongly influenced by boundary geometry of objects over which sound scatters. The present work proposes a method to infer object geometry from scattering features by training convolutional neural networks. The training data is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83bcba1460814702dec6fd65c2dca286
