The pervasiveness in daily environments of objects equipped with sensors and actuators and characterized by the possibility of communicating over the Internet has steadily increased in recent years. In this scenario, smart home automations are becoming increasingly adopted. It is hence important to provide users with explainable tools to better control these automations and make them more useful for their needs. We present a novel mobile augmented reality solution to support users in creating and controlling automations through recommendations and a simulation tool. We also discuss the application of an augmented reality XAI framework to the presented solution in order to improve its transparency.
Towards explainable automations in smart homes using mobile augmented reality
Mattioli A;Paternò F
2023
Abstract
The pervasiveness in daily environments of objects equipped with sensors and actuators and characterized by the possibility of communicating over the Internet has steadily increased in recent years. In this scenario, smart home automations are becoming increasingly adopted. It is hence important to provide users with explainable tools to better control these automations and make them more useful for their needs. We present a novel mobile augmented reality solution to support users in creating and controlling automations through recommendations and a simulation tool. We also discuss the application of an augmented reality XAI framework to the presented solution in order to improve its transparency.File | Dimensione | Formato | |
---|---|---|---|
prod_482660-doc_198732.pdf
accesso aperto
Descrizione: Preprint - Towards explainable automations in smart homes using mobile augmented reality
Tipologia:
Versione Editoriale (PDF)
Dimensione
343.11 kB
Formato
Adobe PDF
|
343.11 kB | Adobe PDF | Visualizza/Apri |
prod_482660-doc_198733.pdf
accesso aperto
Descrizione: Towards explainable automations in smart homes using mobile augmented reality
Tipologia:
Versione Editoriale (PDF)
Dimensione
335.33 kB
Formato
Adobe PDF
|
335.33 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.