Towards Interpersonal Assistants: Next-Generation Conversational Agents

Abstract

We propose novel interpersonal assistants, a next-generation conversational agent which is always-on, unobtrusively serving natural human-to-human conversations. We deepen the motivation and design insights with real practices in language delays and parent–child conflicts. We then present a common platform initiative to effectively support rapid development of interpersonal assistant applications, with a highlight on the key functional element of turn isolations and technical insights on microstructural dynamics.