Exploring the Use of Gesture in Collaborative Tasks
| Autor: | Jaime Ruiz, Gururaj Mulay, Rahul Bangar, Ross Beveridge, Pradyumna Narayana, Isaac Wang, Dhruva Patil, Bruce A. Draper |
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| Rok vydání: | 2017 |
| Předmět: |
Multimedia
Inclusion (disability rights) Computer science 05 social sciences 02 engineering and technology computer.software_genre Gesture recognition 0202 electrical engineering electronic engineering information engineering Natural (music) 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences computer 050107 human factors Gesture |
| Zdroj: | CHI Extended Abstracts |
| DOI: | 10.1145/3027063.3053239 |
| Popis: | Personal assistants such as Siri have changed the way people interact with computers by introducing virtual assistants that collaborate with humans through natural speech-based interfaces. However, relying on speech alone as the medium of communication can be a limitation; non-verbal aspects of communication also play a vital role in natural human discourse. Thus, it is necessary to identify the use of gesture and other non-verbal aspects in order to apply them towards the development of computer systems. We conducted an exploratory study to identify how humans use gesture and speech to communicate when solving collaborative tasks. We highlight differences in gesturing strategies in the presence/absence of speech and also show that the inclusion of gesture with speech resulted in faster task completion times than with speech alone. Based on these results, we present implications for the design of gestural and multimodal interactions. |
| Databáze: | OpenAIRE |
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