This paper presents a study aimed at understanding whether and how end users would converse with a conversational assistant to personalize their domestic Internet-of-Things ecosystem. The underlying hypothesis is that users are willing to create personalization rules vocally and that conversational assistants could facilitate the composition process, given their knowledge of the IoT ecosystem. The preliminary study was conducted as a semi-structured interview with 7 non-programmers and provided some evidence in support of this hypothesis.

Towards Vocally-Composed Personalization Rules in the IoT / De Russis, Luigi; Monge Roffarello, Alberto; Borsarelli, Carlo. - ELETTRONICO. - 3053:(2021), pp. 1-5. ((Intervento presentato al convegno 2nd International Workshop on Empowering People in Dealing with Internet of Things Ecosystems (EMPATHY 2021) tenutosi a Bari (Italy) nel August 30, 2021.

Towards Vocally-Composed Personalization Rules in the IoT

De Russis, Luigi;Monge Roffarello, Alberto;
2021

Abstract

This paper presents a study aimed at understanding whether and how end users would converse with a conversational assistant to personalize their domestic Internet-of-Things ecosystem. The underlying hypothesis is that users are willing to create personalization rules vocally and that conversational assistants could facilitate the composition process, given their knowledge of the IoT ecosystem. The preliminary study was conducted as a semi-structured interview with 7 non-programmers and provided some evidence in support of this hypothesis.
File in questo prodotto:
File Dimensione Formato  
vocal-eud.pdf

accesso aperto

Descrizione: Post-print version
Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Creative commons
Dimensione 581.35 kB
Formato Adobe PDF
581.35 kB Adobe PDF Visualizza/Apri
paper_1.pdf

accesso aperto

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Creative commons
Dimensione 1.01 MB
Formato Adobe PDF
1.01 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

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: http://hdl.handle.net/11583/2910012