Speech-based interaction: Myths, challenges, and opportunities

DOIResolve DOI: http://doi.org/10.1145/2702613.2706679
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Proceedings titleConference on Human Factors in Computing Systems - Proceedings
Conference32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014, 26 April 2014 through 1 May 2014, Toronto, ON
Pages10351036; # of pages: 2
SubjectEngineering research; Human computer interaction; Human engineering; Natural language processing systems; Speech processing; Speech recognition; Speech synthesis; Telecommunication systems; User interfaces; Automatic speech recognition; Current interactions; Information transfers; NAtural language processing; Natural user interfaces; Speech and natural language interface; Speech interaction; User centered designs; Speech communication
AbstractHCI research has for long been dedicated to better and more naturally facilitating information transfer between humans and machines. Unfortunately, humans' most natural form of communication, speech, is also one of the most difficult modalities to be understood by machines - despite, and perhaps, because it is the highest-bandwidth communication channel we possess. While significant research efforts, from engineering, to linguistic, and to cognitive sciences, have been spent on improving machines' ability to understand speech, the CHI community has been relatively timid in embracing this modality as a central focus of research. This can be attributed in part to the relatively discouraging levels of accuracy in understanding speech, in contrast with often-unfounded claims of success from industry, but also to the intrinsic difficulty of designing and especially evaluating speech and natural language interfaces. As such, the development of interactive speech-based systems is mostly driven by engineering efforts to improve such systems with respect to largely arbitrary performance metrics, often void of any user-centered design principles or consideration for usability or usefulness. The goal of this course is to inform the CHI community of the current state of speech and natural language research, to dispel some of the myths surrounding speech-based interaction, as well as to provide an opportunity for researchers and practitioners to learn more about how speech recognition and speech synthesis work, what are their limitations, and how they could be used to enhance current interaction paradigms. Through this, we hope that HCI researchers and practitioners will learn how to combine recent advances in speech processing with user-centred principles in designing more usable and useful speech-based interactive systems.
Publication date
PublisherAssociation for Computing Machinery
AffiliationNational Research Council Canada; Information and Communication Technologies
Peer reviewedYes
NPARC number21275604
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Record identifiereb3c39fa-996a-441e-b8a6-bf414a9d20d4
Record created2015-07-14
Record modified2016-05-09
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