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Journal of Data Intelligence  ISSN: 2577-610X      published since 2020
Vol.2 No.2   June 2021 

An Approach to Develop Mobile Proxemic Applications (pp166-189)
        
Paulo Perez, Philippe Roose, Yudith Cardinale, Mark Dalmau, Dominique Masson, and Nadine Couture
         
doi:
https://doi.org/10.26421/JDI2.2-4

Abstracts:
Traditional Human-Computer Interaction (HCI) is being   overpowered by the widespread diffusion of smart and mobile devices.  Currently,  smart environments involve daily day activities covered by a huge variety of applications, which demand new HCI approaches. In this context, proxemic interaction, derived from the proxemic theory,  becomes an  influential  approach to implement new kind of Mobile Human-Computer Interaction (MobileHCI) in smart environments. It is based on five  proxemic dimensions: Distance, Identity, Location, Movement, and Orientation (DILMO). However, there is a lack of general and flexible tools and utilities focused on supporting the development of mobile proxemic applications. To respond to this need, we have previously proposed a framework for the design and implementation of proxemic applications for smart environments, whose devices interactions are defined in terms of DILMO dimensions. In this work, we extend this framework by integrating a Domain Specif Language (DSL) to support the designing phase. The framework also provides an API, that allows developers to simplify the process of proxemic information sensing (i.e., detection of DILMO dimensions) with mobile phones and wearable sensors. We perform an exhaustive revision of relevant and recent studies and describe in detail all components of our framework.
Key words:
Domain specific language, proxemic interaction, proxemic zone, dilmo, mobile devices, graphical modelling