Istituto di Scienza e Tecnologie dell'Informazione     
Ghiani G., Manca M., Paterṇ F., Santoro C. Personalization of context-dependent applications through trigger-action rules. In: ACM Transactions on Computer-Human Interaction, vol. 24 (2) article n. 14. ACM, 2017.
Our life is characterized by the presence of a multitude of interactive devices and smart objects exploited for disparate goals in different contexts of use. Thus, it is impossible for application developers to predict at design time the devices and objects users will exploit, how they will be arranged, and in which situations and for which objectives they will be used. For such reasons, it is important to make end users able to easily and autonomously personalize the behaviour of their Internet of Things applications, so that they can better comply with their specific expectations. In this paper, we present a method and a set of tools that allow end users without programming experience to customize the context-dependent behaviour of their Web applications through the specification of trigger-action rules. The environment is able to support end-user specification of more flexible behaviour than what can be done with existing commercial tools, and it also includes an underlying infrastructure able to detect the possible contextual changes in order to achieve the desired behaviour. The resulting set of tools is able to support the dynamic creation and execution of personalized application versions more suitable for users' needs in specific contexts of use. Thus, it represents a contribution to obtaining low threshold/high ceiling environments. We also report on an example application in the home automation domain, and a user study that has provided useful positive feedback.
URL: http://dl.acm.org/citation.cfm?id=3057861
DOI: 10.1145/3057861
Subject Human-centered computing
User interface programming
Ubiquitous and mobile computing systems and tools
End-user development
internet of things
trigger-action programming

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