multimodal

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multimodal

(mul″tē-mō′dăl) [L. multi-, many, + modus, measure]
1. Multidisciplinary.
2. Using or relying on multiple methods, e.g., to treat an illness.
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References in periodicals archive ?
Altun, "Recognizing touch gestures for social human-robot interaction," in Proceedings of 2015 ACM on International Conference on Multimodal Interaction, pp.
Ten myths of multimodal interaction. Communications of the ACM, 42(11), 74-81.
Companies providing the service do not have to write more than one app because of the LogicTtee multimodal gateway, which maintains the session, InfoGate manages all user interactions with Web-based data, and provides simultaneous multimodal interaction capability.
Debbie Dahl, who is serving as chair of the newly formed Multimodal Interaction Working Group within the World Wide Web Consortium (W3C).
Topics covered include: (1) direct manipulation, i.e., the use of a mouse (cursor) for pointing at and manipulating graphically represented objects; (2) problems with the traditional interface; (3) multimodal interaction, focusing on ways of making the output in human-computer interaction more tangible by using different sensory channels; (4) barriers and problems associated with building tangialities, the effects on interaction of conflicting, competing, redundant, and complementary information; and the case for building tangialities.
Quickset: Multimodal interaction for distributed applications.
First, DISCIPLE presents a multimodal interaction model that MASH could incorporate into its conference bus.
His current research interests are in affective computing and multimodal interaction, such as physiological and behavioral signals analysis for emotion assessment, affective gaming and learning, affect in social media, brain-computer interaction, multimodal interfaces for blind users and for the elderly.
They apply an interactive predictive scenario used in machine translation and speech transcription, and describe how the response time and the ergonomics and multimodal interaction must be good enough to make computer transcription preferable to doing it by hand.
All told, the volumes collects 139 chapters, beginning with surveys of fundamental concepts and theories that include coverage of multimodal interaction techniques and applications, multi-agent systems and the generation of diversity, hierarchical classification with applications in bioinformatics, artificial neural networks, and genetic programming.

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