Talkininteraction

Talkininteraction is a term used in human-computer interaction to describe the integration of conversational talk with interactive systems to enable fluid, turn-based exchanges between humans and computers. It encompasses chat interfaces, voice assistants, and conversational agents embedded in software, with the goal of making interactions natural and task-driven.

Origin and scope: The term is a portmanteau of talk and interaction and has appeared in academic and industry discussions since the early 2010s. It describes architectures that center dialogue generation, intent recognition, and context management within interactive applications, emphasizing latency control and robust handling of unclear input.

Core concepts: turn-taking, dialogue state tracking, and context retention across turns; integration of natural language understanding with task management; and support for clarifying questions, error recovery, and mixed-initiative dialogue. Evaluation typically considers task success, user satisfaction, speed, and perceived naturalness.

Applications: consumer virtual assistants, customer-support bots, educational tutors, and non-player characters in video games. Common patterns include goal-oriented dialogue, proactive assistance, and multimodal interfaces that combine speech or text with visual cues.

Challenges and future work: issues include scalability of language models, privacy and bias, latency, and safety. Ongoing research aims to improve personalization, explainability, and resilience of talkininteraction across diverse tasks and modalities.