GoalThe main objective of the workshop is to consider the intersection of two research domains which have been separated the past years: NLP and pervasive computing.
In pervasive and ubiquitous computing scenarios, spoken language is in many cases the ideal modality for human beings to interact with a “disappearing” computer, i.e. to directly formulate their intentions and to receive feedback from the system. However, despite recent advances in speech technology, many developers still have objections to employ NLP due to concerns of low recognition rates and issues of disambiguation etc. These limitations of NLP components are not surprising, considering that even human beings can only make sense of spoken language by contextual knowledge. Sensing context however is one of the key topics of the Pervasive Computing conference series, particularly location sensing and activity recognition. We believe that the pervasive computing community can make an important contribution to the field of NLP and also Human Language Technology (HLT) can profit enormously from pervasive computing by getting contextual information.
Topics of InterestSome key challenges, on which the workshop will be based on (but are not limited to), include:
- Location awareness in speech-enabled systems
- Adapting speech systems to the user’s activity
- Multimodal interaction in intelligent environments, e.g. speech and gesture combined
- Interacting through speech with smart devices in the Internet of Things
- Personalizing devices and services through speaker recognition
- Multilingualism, localization, and translation in pervasive computing
Gesture recognition is another pervasive technology that can improve speech-enabled systems through multimodality, with manifold applications. Smart energy scenarios drive the connection of objects with the Internet in order to measure and reduce power consumption. This development offers new chances to remotely control and even interact with objects through speech. Likewise, our ageing society requires technological solutions that allow elderly users to live independently at home (Ambient Assisted Living). Such assistance systems require intuitive user interfaces, i.e. based on speech, to keep the humans in the loop.
The quality of user interfaces may be further increased by personalization through speaker recognition.
Finally, user interfaces of pervasive computing systems must be translated and localized to different languages and cultures in order to be successful on global markets. Hence NLP frameworks should include tool support for efficient and correct translation of resources, such as grammars.
We welcome ongoing work on HLT-Pervasive Computing, but also theoretical discussions on how to integrate these areas.