Comparative analysis of composition paradigms for personalization rules in IoT settings
Gallo S., Manca M., Mattioli A., Paternò F., Santoro C.
The rapid pervasive diffusion of Internet of Things technologies has opened up many opportunities for people to directly personalise the behaviour of surrounding objects and devices based on the dynamic events that can occur. To this end, several tailoring environments have been proposed supporting the enduser creation of trigger-action rules. Such tools can support different composition paradigms. In this paper we present a study that analyses three composition paradigms (graphical wizard, block-based, and conversational) to better understand how well they support rule creation activities. In order to make the analysis consistent we considered three implementations of such composition paradigms supporting the same set of triggers and actions. We have carried out a first user study in order to gather empirical feedback for substantiating our analysis, which provides indications of the pros and cons of each approach.Source: IS-EUD 2021 - 8th International Symposium on End-User Development, pp. 53–70, Online conference, 06-08/07/2021
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The role of augmented reality in smart home settings
Mattioli A., Manca M., Paternò F., Santoro C.
Augmented Reality (AR) is a growing trend in technology with countless applications in different domains. However, not much attention has been devoted to the smart home setting and how its application can be used to allow users to customise their living spaces. In this paper, we describe the implementation of two methods for recognising objects with AR, and how an End-User Development (EUD) approach to a smart home can take full advantage of these techniques to provide personalisable and more meaningful experiences to users.Source: INTERACT 2021 - 18th IFIP TC13 International Conference on Human-Computer Interaction, Bari, 30 - 03/09/2021
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A Visual Environment for End-User Creation of IoT Customization Rules with Recommendation Support
Mattioli A., Paterno F.
Personalization rules based on the trigger-action paradigm have recently garnered increasing interest in Internet of Things (IoT) applications. However, composing trigger-action rules can be a challenging task for end users, especially when the rules' complexity increases. Users have to decide about various aspects: which triggers and actions to select, how to combine multiple triggers or actions, and whether some previously defined rule can help in the composition process. We propose a visual environment, Block Rule Composer, to address these problems. It consists of a tool for creating rules based on visual blocks, integrated with recommendation techniques in order to provide intelligent support during rule creation. We also report on a first test which provided positive indications and suggestions for further design improvements.Source: AVI '20: International Conference on Advanced Visual Interfaces, pp. 1–5, 28/09-2/10/2020
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