5 result(s)
Page Size: 10, 20, 50
Export: bibtex, xml, json, csv
Order by:

CNR Author operator: and / or
Typology operator: and / or
Language operator: and / or
Date operator: and / or
Rights operator: and / or
2021 Journal article Open Access OPEN

Recommendations for creating trigger-action rules in a block-based environment
Mattioli A., Paternò F.
Given the growing adoption of IoT technologies, several approaches have been presented to enable people to increase their control over their smart devices and provide relevant support. Recommendation systems have been proposed in many domains, but have received limited attention in the area of End-User Development (EUD). We propose a novel approach for formulating recommendations in this area, based on deconstructing trigger-action rules into sequences of elements and the links between them. For this purpose, we propose a solution inspired by methods aimed at addressing the sequence-prediction problem. We have used this approach to provide users with two different types of recommendations: full rules for the one being edited, and parts of rules relevant for the next step to take in order to complete the current rule editing. In this paper, we present the design and a first evaluation of the two different possibilities to generate and display recommendations in a block-based EUD environment for creating automations for Internet of Things (IoT) contexts.Source: Behaviour & information technology (Online) 40 (2021): 1024–1034. doi:10.1080/0144929X.2021.1900396
DOI: 10.1080/0144929x.2021.1900396

See at: ISTI Repository Open Access | CNR ExploRA Restricted | www.tandfonline.com Restricted | Behaviour and Information Technology Restricted

2021 Conference article Open Access OPEN

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
DOI: 10.1007/978-3-030-79840-6_4

See at: ISTI Repository Open Access | ISTI Repository Open Access | link.springer.com Restricted | CNR ExploRA Restricted

2021 Conference article Open Access OPEN

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

See at: ISTI Repository Open Access | CNR ExploRA Open Access

2020 Conference article Open Access OPEN

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
DOI: 10.1145/3399715.3399833

See at: ISTI Repository Open Access | academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | dl.acm.org Restricted | dl.acm.org Restricted | CNR ExploRA Restricted

2020 Conference article Open Access OPEN

Recommendations for personalization rules in block composer
Mattioli A., Paterno F.
This paper reports about a possible approach to integrating a recommendation system (RS) for giving support to users during the creation of Internet of Things (IoT) personalization rules on the Block Composer tailoring environment. Recommending for end-user creation of rules requires a specific way to model the problem different from a user-item matrix filling approach. The items to be recommended (trigger-action rules) are not unitary objects but are composed of several parts, assembled in a step-bystep process. This feature makes recommendations for this end-user development (EUD) approach similar to the sequence-based recommender systems and can be exploited to provide more suitable suggestions.Source: EMPATHY 2020 Empowering People in Dealing with Internet of Things Ecosystems, pp. 41–44, Evento online, 29/09/2020

See at: ceur-ws.org Open Access | ISTI Repository Open Access | CNR ExploRA Open Access