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2024 Journal article Open Access OPEN
Human control in green smart homes
Gallo S., Maenza S., Mattioli A., Paternò F.
We present an approach to supporting human control in green smart homes. The approach is based on a set of tools for allowing end users to create automations through innovative interaction modalities, execute them, and re- ceive relevant explanations about the resulting behaviours and their relevance for the user goals, in particular those that are connected to sustainability principles.Source: ERCIM NEWS, vol. 138, pp. 28-29
Project(s): End-User Development of Automations for Explainable Green Smart Homes

See at: ercim-news.ercim.eu Open Access | CNR IRIS Open Access | CNR IRIS Restricted


2024 Conference article Open Access OPEN
A design space for adaptive explainable daily automations
Paternò F., Mattioli A., Maenza S.
The pervasiveness of objects equipped with sensors and actuators and characterised by the possibility of communicating over the Internet in daily environments has steadily increased in recent years. They make possible the creation of several types of automation, which are often obtained with the support of artificial intelligence techniques. Thus, providing users with tools to better control these automations and make them more useful for their needs becomes important. Explanations can play an important role for this purpose and can take place in many forms. We present a design space for explanations to support users in creating and controlling daily automations. We also discuss how such design space can be useful to better identify the most relevant options for explanations according to the context of use and user goals.Source: CEUR WORKSHOP PROCEEDINGS, vol. 3660. Greenville, USA, 18/03/2024
Project(s): End-User Development of Automations for Explainable Green Smart Homes

See at: ceur-ws.org Open Access | CNR IRIS Open Access | CNR IRIS Restricted


2024 Conference article Open Access OPEN
An architecture for green smart homes controlled by end users
Gallo S., Mattioli A., Paternò F., Barricelli B. R., Fogli D., Guizzardi D.
Automations can help support the achievement of various types of goals in a smart home. We present an architecture enabling the possibility of supporting user goals consistent with the principles of a circular economy (such as energy saving and waste recycling). It includes meta-design tools for creating automations that better fit user needs and controlling their execution through innovative modalities based on conversational agents and augmented reality, and a home Digital Twin useful for supporting relevant simulations and analytics to understand the potential impact of specific automations on aspects relevant for circular economy.DOI: 10.1145/3656650.3656710
Project(s): End-User Development of Automations for Explainable Green Smart Homes
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See at: IRIS Cnr Open Access | doi.org Open Access | Archivio istituzionale della ricerca - Università di Brescia Open Access | IRIS Cnr Open Access | doi.org Restricted | CNR IRIS Restricted | CNR IRIS Restricted


2024 Conference article Open Access OPEN
An approach to explainable automations in daily environments
Maenza S., Mattioli A., Paternò F.
How people interact with digital technologies is currently caught between the Internet of Things and Artificial Intelligence. In both trends, human control over technology is jeopardized. At the same time, little is happening in terms of innovating how we think and build automations. This is despite the current availability of various types of devices and modalities for supporting user interactions. This paper discusses con- cepts and methods that can be useful to address some challenges of human control over automations involving people, objects, devices, services, and robots. The goal is to identify innovative approaches to support end users, even without programming experience, to understand, create or modify the automations in their daily environ- ments, augmenting human capabilities in managing automations through effective modalities, explanations, and intelligent recommendations.Source: AHFE INTERNATIONAL, vol. 119, pp. 507-513. Palermo, Italy, 22-24/02/2024
DOI: 10.54941/ahfe1004515
Project(s): End-User Development of Automations for Explainable Green Smart Homes
Metrics:


See at: CNR IRIS Open Access | openaccess.cms-conferences.org Open Access | doi.org Restricted | CNR IRIS Restricted


2024 Conference article Open Access OPEN
What people think about green smart homes
Barricelli B. R., Fogli D., Gallo S., Guizzardi D., Maenza S., Mattioli A., Paternò F.
Current technological trends have enabled several smart spaces in our daily environments. A typical example is the home, which is becoming more and more populated by connected objects and sensors. In this way, even people who are not professional software developers can create automations that compose the dynamic behaviours of such connected objects. In this paper, we report and discuss two online surveys targeting two different groups of users: one consists of a general population of end users with different degrees of experience in smart home use and personalization, and the other composed of people who have already some experiences in directly creating automations and managing smart environments. Overall, such studies provide useful information for better understanding the requirements that end-user development approaches should address to be successful in order to be actually adopted in such contexts.Source: CEUR WORKSHOP PROCEEDINGS, vol. 3685. Arenzano, Italy, 4/06/2024
Project(s): End-User Development of Automations for Explainable Green Smart Homes

See at: ceur-ws.org Open Access | CNR IRIS Open Access | CNR IRIS Restricted


2024 Conference article Open Access OPEN
End-user development for eXtended reality using a multimodal intelligent conversational agent
Artizzu V., Carcangiu A., Manca M., Mattioli A., Mereu J., Paternò F., Santoro C., Simeoli L., Spano L. D.
In the past years, both the research community and commercial products have proposed various solutions aiming to support end-user developers (EUDevs), namely users without extensive programming skills, to build and customize XR experiences. However, current tools may not fully eliminate the potential for user errors or misunderstandings. In this paper, we present EUD4XR, a methodology consisting of an intelligent conversational agent to provide contextual help, to EUDevs, during the authoring process. The key characteristics of this agent are its multimodality, comprehending the user’s voice, gaze, and pointing, combined with the environment status. Moreover, the agent could also demonstrate concepts, suggest components, and help explain errors further to reduce misunderstandings for end-user developers of VR/XR.Source: CEUR WORKSHOP PROCEEDINGS, vol. 3704. Arenzano, Italy, 4/06/2024
Project(s): EUD4XR: End-User Development for eXtended Reality

See at: ceur-ws.org Open Access | CNR IRIS Open Access | CNR IRIS Restricted