Advances in Human-Computer Interaction
Special Issue title: Language Sense and Communication on Computer
We have roughly defined the ``Language Sense'' as an expression that underlines
affective or psychological aspects of language. We would like to invite papers
from researchers with interests in language technologies that enrich
communication by dealing with emotions, by captivating interlocutors, by
engaging artistically or aesthetically, etc. In addition, we are also
interested in contributions about theoretical reasoning (induction, deduction,
abduction, etc.) and machine learning approaches to improve the overall
quality of human-computer interaction.
We welcome submissions dealing with language sense in written, spoken and multimodal forms of communication. As our definition of the ``language sense'' underlines affective and psychological aspects of language, our natural interests lay in means of sophisticated communication and natural ways of conveying thoughts between human beings. For example, expressing affect through linguistic and non-linguistic means as emoticons or gestures, humor as jokes, ?sprits or puns, expressing and understanding irony or sarcasm and other communication phenomena that are difficult to explain and to mimic algorithmically. In our definition we also include sensuous (as aesthetically pleasing, gratifying, rich, sumptuous, luxurious; sensory, sensorial) aspects to language sense by which we would like to attract not only AI researchers but also cognitive scientists, linguists or psychologists who could shed a light on how to deal with such ``less logical'' sides of such language functionality in the realm of communication. In addition, we would like to spread a discussion between language sense specialists (theoreticians and practitioners) with AI researchers who work with classical NLP approaches.
Thus we would like to create a special issue that mixes papers on theoretical and practical (both cognitive and stochastic) approaches to modelling language sense and creating applications that make use of its features in human-computer interaction.
Potential topics include but are not limited to the following: