Towards Vocally-Composed Personalization Rules in the IoT

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.