Publicação
Building a behaviour architecture: An approach for promoting human-robot interaction
| Resumo: | Human distraction behaviour is a paramount subject to take into account. Several woks in the literature try to tackle this topic mostly in the automotive industry. Following this trend, the present work proposes a system to detect the patterns of distraction/attention during an interaction activity between a human and a robot. The goal is to analyse selected patterns of distraction, such as eye gaze, head pose, blinking rate, among others, and adapting the robot behaviour, consequently promoting a more fluid interaction. A behavioural state machine that takes into account the engagement and the performance of the user in the activity is proposed. |
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| Autores principais: | Amaro, Bruno |
| Outros Autores: | Silva, Vinicius Corrêa Alves; Soares, Filomena; Esteves, João Sena |
| Assunto: | Human–computer interaction Human–robot interaction Machine learning Patterns of attention ZECA robot |
| Ano: | 2019 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | Human distraction behaviour is a paramount subject to take into account. Several woks in the literature try to tackle this topic mostly in the automotive industry. Following this trend, the present work proposes a system to detect the patterns of distraction/attention during an interaction activity between a human and a robot. The goal is to analyse selected patterns of distraction, such as eye gaze, head pose, blinking rate, among others, and adapting the robot behaviour, consequently promoting a more fluid interaction. A behavioural state machine that takes into account the engagement and the performance of the user in the activity is proposed. |
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