Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop
arXiv:2011.05533 · doi:10.1016/j.csl.2021.101255
Abstract
With robotics rapidly advancing, more effective human-robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be part of the solution, our ability to provide spoken language interaction capabilities is still very limited. The National Science Foundation accordingly convened a workshop, bringing together speech, language, and robotics researchers to discuss what needs to be done. The result is this report, in which we identify key scientific and engineering advances needed. Our recommendations broadly relate to eight general themes. First, meeting human needs requires addressing new challenges in speech technology and user experience design. Second, this requires better models of the social and interactive aspects of language use. Third, for robustness, robots need higher-bandwidth communication with users and better handling of uncertainty, including simultaneous consideration of multiple hypotheses and goals. Fourth, more powerful adaptation methods are needed, to enable robots to communicate in new environments, for new tasks, and with diverse user populations, without extensive re-engineering or the collection of massive training data. Fifth, since robots are embodied, speech should function together with other communication modalities, such as gaze, gesture, posture, and motion. Sixth, since robots operate in complex environments, speech components need access to rich yet efficient representations of what the robot knows about objects, locations, noise sources, the user, and other humans. Seventh, since robots operate in real time, their speech and language processing components must also. Eighth, in addition to more research, we need more work on infrastructure and resources, including shareable software modules and internal interfaces, inexpensive hardware, baseline systems, and diverse corpora.
35 pages, 6 figures, Final report from the NSF Future Directions Workshop on Speech for Robotics, held in October 2019, College Park, MD. Workshop website: https://isr.umd.edu/2019-SFRW
References in corpus (2)
Cited by in corpus (8)
- Natural Language Processing for Smart Healthcare
- A Survey on Dialogue Management in Human-Robot Interaction
- Can you pass that tool?: Implications of Indirect Speech in Physical Human-Robot Collaboration
- Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems
- Use of a humanoid robot for auditory psychophysical testing
- Multimodal Speech Recognition for Language-Guided Embodied Agents
- Evaluating Speech-in-Speech Perception via a Humanoid Robot
- Leveraging Large Language Models for Robot-Assisted Learning of Morphological Structures in Preschool Children with Language Vulnerabilities