Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation

arXiv:2404.02589v1 Announce Type: new
Abstract: Personality Recognition in Conversation (PRC) aims to identify the personality traits of speakers through textual dialogue content. It is essential for providing personalized services in various applications of Human-Computer Interaction (HCI), such as AI-based mental therapy and companion robots for the elderly. Most recent studies analyze the dialog content for personality classification yet overlook two major concerns that hinder their performance. First, crucial implicit factors contained in conversation, such as emotions that reflect the speakers' …

abstract analyze applications arxiv companion computer conversation cs.ai cs.cl dialogue elderly hci human human-computer interaction identify personality personalized recognition robots services speakers studies textual therapy through type