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Patsy Tan

dblp:123/2953 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · unresolved

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

Graphics, computer vision, multimedia, augmented reality and games · 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
Health and well-being technologies · 50% Learning and educational technologies · 50%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies
educational games
0.112012
MOGAT: mobile games with auditory training for children with cochlear implants · ACM Multimedia 2012
Virtual and augmented reality › auditory perception › psychoacoustics
music perception
0.012012
MOGAT: mobile games with auditory training for children with cochlear implants · ACM Multimedia 2012

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

mobile games · 0.3cloud-based web service · 0.3audio analysis · 0.3
YearPublicationVenuePosition
2012 MOGAT: mobile games with auditory training for children with cochlear implants
abstract
Cochlear implants have improved the lives of tens of thousands of the hearing impaired by providing sufficient auditory perception for speech, but these devices are far from satisfactory for music perception. Many cochlear implant recipients, especially pre-lingually deafened children, have difficulty recognizing and producing specific pitches. To improve musical auditory habilitation for children post cochlear implantation, we developed MOGAT: MObile Games with Auditory Training. The system includes three musical games built with off-the-shelf mobile devices to train their pitch perception and intonation skills respectively, and a cloud-based web service which allows music therapists to monitor and design individual training for children. The design of the games and web service was informed by a pilot survey (N=60 children). To ensure widespread use with low-cost mobile devices, we minimized the computation load while retaining highly accurate audio analysis. A 6-week user study (N=15 children) showed that the music habilitation with MOGAT was intuitive, enjoyable and motivating. It has improved most children's pitch discrimination and production, and several children's improvement was statistically significant (p<0.05).
Yinsheng Zhou, Khe Chai Sim, Patsy Tan, Ye Wang 0007
ACM Multimedia3