Publication | Closed Access
SayWAT
76
Citations
24
References
2016
Year
Unknown Venue
EngineeringAssistive TechnologySocially Assistive RobotArtsWearable TechnologyAtypical ProsodySpeech ProcessingHuman-computer InteractionConversation AnalysisCommunicationSpeech PerceptionWearable Assistive TechnologyVoice TechnologySocial SupportVoice InteractionSpeech CommunicationNonverbal Communication
During face-to-face conversations, adults with autism frequently use atypical rhythms and sounds in their speech (prosody), which can result in misunderstandings and miscommunication. SayWAT is a Wearable Assistive Technology that provides feedback to wearers about their prosody during face-to-face conversations. In this paper, we describe the design process that led to five design guidelines that governed the development of SayWAT and present results from two studies involving our prototype solution. Our results indicate that wearable assistive technologies can automatically detect atypical prosody and deliver feedback in real time without disrupting the wearer or the conversation partner. Additionally, we provide suggestions for wearable assistive technologies for social support.
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