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Proxemic Interactions with Mobile Devices

Abstract : Smart environments are currently overpowering traditional Human-Computer Interaction (HCI) approaches for people’s everyday life applications. Proxemic interaction is an emerging area for improving HCI experiences in such environments, causing the so-called proxemic environments to emerge. Proxemic interactions establish how the five dimensions (i.e., Distance, Identity, Location, Movement, and Orientation – DILMO) can be used to implement interactions between people and digital devices. Current studies in this area are focused on developing proxemic applications with a specific task and toolkits that allow developers to obtain DILMO information from a wide range of sensors. However, there exists a notable lack of general approaches capable of supporting the whole implementation process from the modelling of proxemic environments to represent general proxemics behaviours and finalizing with the development of mobile applications. To help the integration of proxemic capabilities in HCI, we propose an approach for modelling proxemic environments based on a graphical Domain-Specific Language (DSL). The DSL allows designers to express proxemic interactions for modelling proxemic environments and supports the development process.We also provide an API in a framework for mobile devices based on Android operating system. This API implements high-level primitives (DILMO) permitting to provide proxemic interactions on widespread mobile devices. We have developed an API that is feasible for developing proxemic mobile applications.We applied the proxemic interactions in order to develop an architecture that can support mobile applications in the health sector. We propose interpersonal distances and proxemic dimensions (i.e., Distance, Identity, and Orientation - DIMO) to implement HCI with mobile devices that encourage touchless interactions. Our goal was to promote mobile apps’ development with proxemic HCI, supported in a proposed architecture, to stop the spreading of nosocomial infection. To illustrate our proposal’s usability, we developed two prototypes of applications for mobile devices as a proof-of-concept, using several combinations of proxemic DILMO dimensions to model proxemics HCI that allowed flexible interaction between people and mobile devices.
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Submitted on : Friday, July 1, 2022 - 12:24:51 PM
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  • HAL Id : tel-03711337, version 1

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Paulo César Pérez Daza. Proxemic Interactions with Mobile Devices. Artificial Intelligence [cs.AI]. Université de Pau et des Pays de l'Adour, 2021. English. ⟨NNT : 2021PAUU3056⟩. ⟨tel-03711337⟩

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