Seeing More: Visualizing Audio Cues

Bergstrom, Tony; Karahalios, Karrie

doi:10.1007/978-3-540-74800-7_3

Cited by 27 publications

(30 citation statements)

References 12 publications

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“…Our work follows a line of research that shows how automated dynamic feedback in teamwork situations can affect social interactions [3,12,21,22,26]. GroupMeter adds to this work by influencing teamwork behavior through detailed feedback about word choice and production in computer-mediated settings.…”

Section: Discussionmentioning

confidence: 99%

Visualizing real-time language-based feedback on teamwork behavior in computer-mediated groups

Leshed

Pérez

Hancock

et al. 2009

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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While most collaboration technologies are concerned with supporting particular tasks such as workflows or meetings, many work groups do not have the teamwork skills essential to effective collaboration. One way to improve teamwork is to provide dynamic feedback generated by automated analyses of behavior, such as language use. Such feedback can lead members to reflect on and subsequently improve their collaborative behavior, but might also distract from the task at hand. We have experimented with GroupMeter -a chatbased system that presents visual feedback on team members' language use. Feedback on proportion of agreement words and overall word count was presented using two different designs. When receiving feedback, teams in our study expressed more agreement in their conversations and reported greater focus on language use as compared to when not receiving feedback. This suggests that automated, realtime linguistic feedback can elicit behavioral changes, offering opportunities for future research.

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Section: Discussionmentioning

confidence: 99%

Visualizing real-time language-based feedback on teamwork behavior in computer-mediated groups

Leshed

Pérez

Hancock

et al. 2009

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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“…The literature provides strong evidence that interacting with technology often can motivate children with ASD. Further, existing literature shows that real-time visualizations, which act as social mirrors, can influence communication interaction [3]. Therefore, we see the potential of technology to aid teachers in the development of sounds, words, and speech; thereby contributing to what is an exclusively human-to-human interaction.…”

Section: A Proposal For a New Direction In Researchmentioning

confidence: 94%

Encouraging speech and vocalization in children with autistic spectrum disorder

Hailpern

2007

SIGACCESS Access. Comput.

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Technology can improve the life of those with Autistic Spectrum Disorder (ASD). Specifically, some children with ASD are not fortunate enough to acquire the ability to communicate with language on their own. With language being an important method of communication, socialization, and interacting with the world, these children need researchers to develop new solutions to help teach vocalization and speech. Without speech, these children will have difficulty communicating their needs, wants, and emotions, as well as being able to function within society at large. This paper examines the existing HCI research on ASD, as well as proposes a new direction for investigation.

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“…The best system today produces a 3 percent error rate with speaker training, although 20 to 30 percent error rates are more common. 5 Performing topic segmentation on the transcript can introduce further error. Our conversation clusters approach differs from the work of Basu and his colleagues in three main ways: we don't display a compete transcript of the conversation, we use Explicit Semantic Analysis (ESA) with Wikipedia to classify keywords, and we combine the skills of humans and machines to modify our learning algorithm.…”

Section: Visualizing Participant Behaviormentioning

confidence: 99%