Vocal assistants are becoming widely used, but their potentialities have not yet been completely exploited. For instance, while assistants such as Alexa are increasingly boasting compatibility with a large set of third-party services, the possibility for end-users to personalize the joint behaviour of such connected services (including the voice-based ones) in a flexible manner seems not sufficiently explored yet. In this paper, we present how the voice-based support offered by Alexa has been integrated with a rule-based personalization platform to support the creation of trigger-action rules enhanced with voice-based support. This integration opens up the possibility for users without programming knowledge to specify and include voice-based triggers and voice-based actions in their rules. These rules can be composed of events and commands that can involve a variety of sensors and connected objects. To this aim, a novel solution has been developed, which also aims to overcome some limitations that have been found in currently available vocal assistants, e.g., the issue of unsupported languages, thus lowering the barriers for their ultimate adoption and everyday use. Indeed, the integrated platform offers the possibility to play the vocal notifications/reminders contained in relevant personalization rules in any language, including those not currently supported by Alexa.

Integrating Alexa in a rule-based personalization platform

Manca M.;Parvin P.;Paterno' F.;Santoro C.
2020

Abstract

Vocal assistants are becoming widely used, but their potentialities have not yet been completely exploited. For instance, while assistants such as Alexa are increasingly boasting compatibility with a large set of third-party services, the possibility for end-users to personalize the joint behaviour of such connected services (including the voice-based ones) in a flexible manner seems not sufficiently explored yet. In this paper, we present how the voice-based support offered by Alexa has been integrated with a rule-based personalization platform to support the creation of trigger-action rules enhanced with voice-based support. This integration opens up the possibility for users without programming knowledge to specify and include voice-based triggers and voice-based actions in their rules. These rules can be composed of events and commands that can involve a variety of sensors and connected objects. To this aim, a novel solution has been developed, which also aims to overcome some limitations that have been found in currently available vocal assistants, e.g., the issue of unsupported languages, thus lowering the barriers for their ultimate adoption and everyday use. Indeed, the integrated platform offers the possibility to play the vocal notifications/reminders contained in relevant personalization rules in any language, including those not currently supported by Alexa.
2020
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
9781450375597
Rule-based penalization platform
Ambient-assisted living
Voice assistant
Smart-home
File in questo prodotto:
File Dimensione Formato  
prod_444221-doc_159661.pdf

accesso aperto

Descrizione: Integrating Alexa in a Rule-based Personalization Platform-preprint
Tipologia: Documento in Pre-print
Licenza: Nessuna licenza dichiarata (non attribuibile a prodotti successivi al 2023)
Dimensione 536.59 kB
Formato Adobe PDF
536.59 kB Adobe PDF Visualizza/Apri
prod_444221-doc_159662.pdf

solo utenti autorizzati

Descrizione: Integrating Alexa in a Rule-based Personalization Platform
Tipologia: Versione Editoriale (PDF)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 533.22 kB
Formato Adobe PDF
533.22 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
prod_444221-doc_159660.pdf

accesso aperto

Descrizione: Integrating Alexa in a Rule-based Personalization Platform-postprint
Tipologia: Documento in Post-print
Licenza: Nessuna licenza dichiarata (non attribuibile a prodotti successivi al 2023)
Dimensione 533.29 kB
Formato Adobe PDF
533.29 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/424114
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 10
  • ???jsp.display-item.citation.isi??? ND
social impact