Data-driven Communicative Behaviour Generation
A Survey
Bibliographic Data
| ID | 22190672 |
|---|---|
| Authors | Nurziya Oralbayeva (0000-0002-0006-5256, Nazarbayev University), Amir Aly (0000-0001-5169-0679, University of Plymouth), Anara Sandygulova (0000-0001-9299-5700, Nazarbayev University), Tony Belpaeme (0000-0001-5207-7745, Ghent University) |
| Year | 2024 |
| Volume | 13 |
| Issue | 1 |
| Pages | 1-39 |
| Publication date | 2024-03-31 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ACM Transactions on Human-Robot Interaction (JOURNAL) |
| Journal identifiers | ISSN: 2573-9522 • E-ISSN: 2573-9522 |
| Publisher | Association for Computing Machinery (ACM) (PUBLISHER) |
| DOI | 10.1145/3609235 |
| OpenAlex | W4385877119 |
| Language | EN |
| Citations received | 1 |
| References cited | 168 |
The development of data-driven behaviour generating systems has recently become the focus of considerable attention in the fields of human–agent interaction and human–robot interaction. Although rule-based approaches were dominant for years, these proved inflexible and expensive to develop. The difficulty of developing production rules, as well as the need for manual configuration to generate artificial behaviours, places a limit on how complex and diverse rule-based behaviours can be. In contrast, actual human–human interaction data collected using tracking and recording devices makes humanlike multimodal co-speech behaviour generation possible using machine learning and specifically, in recent years, deep learning. This survey provides an overview of the state of the art of deep learning-based co-speech behaviour generation models and offers an outlook for future research in this area
Data science · Deep learning · Human–computer interaction · Machine learning · Robot · Computer Science · Social Robot Interaction and HRI · Speech and dialogue systems · Speech Recognition and Synthesis · Artificial Intelligence
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Social Eye Gaze in Human-Robot Interaction
Image quality assessment
A Fast Learning Algorithm for Deep Belief Nets
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
On Information and Sufficiency
Bidirectional recurrent neural networks
Long Short-Term Memory
What the Face Reveals
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |