Interactive AI-Based System

An Interactive AI-Based System is an AI-based system that is an interactive system and can support interactive AI tasks (that can engage in bi-directional interaction).

• AKA: Responsive AI System, Interactive Intelligent System.
• Context:
  • Interactive AI-Based System Input: interactive AI-based user query, interactive AI-based environmental data, interactive AI-based system command
  • Interactive AI-Based System Output: interactive AI-based response, interactive AI-based action, interactive AI-based recommendation
  • Interactive AI-Based System Performance Measure: interactive AI-based response time, interactive AI-based accuracy, interactive AI-based user satisfaction
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  • It can typically process Interactive AI-Based System Input through interactive AI-based natural language understanding, interactive AI-based multimodal processing, and interactive AI-based intent recognition.
  • It can typically generate Interactive AI-Based System Output via interactive AI-based content generation, interactive AI-based information synthesis, and interactive AI-based answer formulation.
  • It can typically perform Interactive AI-Based System Action by executing interactive AI-based task automation, interactive AI-based service integration, and interactive AI-based system control.
  • It can typically maintain Interactive AI-Based System State across interactive AI-based conversation turns, interactive AI-based session, and interactive AI-based interaction history.
  • It can typically adapt its Interactive AI-Based System Behavior based on interactive AI-based user input or interactive AI-based feedback.
  • It can typically respond within a short time frame after Interactive AI-Based System Interaction Events.
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  • It can often implement Interactive AI-Based System Personalization through interactive AI-based user modeling, interactive AI-based preference learning, and interactive AI-based behavioral adaptation.
  • It can often provide Interactive AI-Based System Feedback via interactive AI-based visual cues, interactive AI-based status updates, and interactive AI-based error handling.
  • It can often utilize Interactive AI-Based System Context Awareness for interactive AI-based situational understanding, interactive AI-based environmental adaptation, and interactive AI-based relevant response.
  • It can often apply Interactive AI-Based System Error Recovery with interactive AI-based clarification requests, interactive AI-based alternative suggestions, and interactive AI-based graceful degradation.
  • It can often incorporate Interactive AI-Based System Multimodal Processing through interactive AI-based voice recognition, interactive AI-based image analysis, and interactive AI-based gesture interpretation.
  • It can often implement Interactive AI-Based System Learning Mechanisms that improve interactive AI-based performance over interactive AI-based multiple interactions.
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  • It can range from being a Simple Interactive AI-Based System to being a Complex Interactive AI-Based System, depending on its interactive AI-based system complexity.
  • It can range from being a Rule-Based Interactive AI-Based System to being a Learning Interactive AI-Based System, depending on its interactive AI-based system adaptability level.
  • It can range from being an Interactive AI-Based Application to being an Interactive AI-Based Platform, depending on its interactive AI-based system deployment scope.
  • It can range from being a Reactive Interactive AI-Based System to being a Proactive Interactive AI-Based System, depending on its interactive AI-based system initiative level.
  • It can range from being a Text-Only Interactive AI-Based System to being a Multimodal Interactive AI-Based System, depending on its interactive AI-based system interface capability.
  • It can range from being a Consumer Interactive AI-Based System to being an Enterprise Interactive AI-Based System, depending on its interactive AI-based system target user.
  • It can range from being a Domain-Specific Interactive AI-Based System to being a General-Purpose Interactive AI-Based System, depending on its interactive AI-based system domain scope.
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  • It can manage Interactive AI-Based System Dialog Flow through interactive AI-based conversation management, interactive AI-based context tracking, and interactive AI-based topic transition.
  • It can integrate with interactive AI-based operating systems for interactive AI-based device control.
  • It can connect to interactive AI-based external services for interactive AI-based capability extension.
  • It can be a part of interactive AI-based user interface system.
  • It can integrate with interactive AI-based databases or interactive AI-based systems to provide interactive AI-based real-time information during interactive AI-based interactions.
  • It can have Interactive AI-Based System Technical Architecture comprising interactive AI-based system model, interactive AI-based system interface, and interactive AI-based system processing pipeline.
  • It can require Interactive AI-Based System Resources such as interactive AI-based computing infrastructure, interactive AI-based network connectivity, and interactive AI-based storage capacity.
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• Examples:
  • Interactive AI-Based System Evolution Periods, such as:
    • Early Interactive AI-Based System Period (1980-2000), characterized by interactive AI-based simple rule systems and interactive AI-based limited response capability.
    • Advanced Interactive AI-Based System Period (2001-2015), featuring interactive AI-based statistical models and interactive AI-based multi-turn dialogue.
    • Modern Interactive AI-Based System Period (2016-present), utilizing interactive AI-based deep learning approaches and interactive AI-based contextual understanding.
  • Interactive AI-Based System Types by interaction modality, such as:
    • Text-Based Interactive AI-Based Systems, such as:
      • Customer Service Interactive AI-Based Chatbots for interactive AI-based query handling and interactive AI-based issue resolution.
      • Educational Interactive AI-Based Tutors for interactive AI-based personalized learning and interactive AI-based knowledge assessment.
      • Interactive AI-Based Messaging Assistants for interactive AI-based conversation augmentation and interactive AI-based content suggestion.
    • Voice-Based Interactive AI-Based Systems, such as:
      • Voice-Activated Interactive AI-Based Assistants like Amazon's Alexa Interactive AI-Based System for interactive AI-based voice command processing.
      • Interactive AI-Based IVR Systems for interactive AI-based call handling and interactive AI-based caller routing.
      • Interactive AI-Based Dictation Systems for interactive AI-based speech-to-text conversion and interactive AI-based document creation.
    • Multimodal Interactive AI-Based Systems, such as:
      • Visual Interactive AI-Based Systems for interactive AI-based augmented reality and interactive AI-based object recognition.
      • Gesture-Responsive Interactive AI-Based Systems for interactive AI-based immersive experience and interactive AI-based virtual navigation.
      • Interactive AI-Based Recommendation Systems like Netflix's Interactive AI-Based Recommender or Spotify's Interactive AI-Based Recommender for interactive AI-based content personalization.
  • Interactive AI-Based System Application Domains, such as:
    • Consumer Interactive AI-Based Systems for interactive AI-based entertainment, interactive AI-based home automation, and interactive AI-based personal assistance.
    • Enterprise Interactive AI-Based Systems for interactive AI-based business intelligence, interactive AI-based workflow assistance, and interactive AI-based decision support.
    • Healthcare Interactive AI-Based Systems for interactive AI-based patient monitoring, interactive AI-based diagnostic support, and interactive AI-based treatment planning.
    • Educational Interactive AI-Based Systems providing interactive AI-based personalized tutoring, interactive AI-based learning assessment, and interactive AI-based educational content delivery.
    • Retail Interactive AI-Based Systems supporting interactive AI-based shopping assistance, interactive AI-based product recommendation, and interactive AI-based inventory management.
  • Interactive AI-Based System Development Platforms, such as:
    • Interactive AI-Based Development Frameworks like OpenAI Gym Interactive AI-Based Platform for interactive AI-based reinforcement learning.
    • Interactive AI-Based Dialogue Platforms like Facebook's ParlAI Interactive AI-Based Platform for interactive AI-based conversation research.
    • Interactive AI-Based Cloud Services like Google's Vertex AI Interactive AI-Based Platform for interactive AI-based model training and interactive AI-based deployment.
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• Counter-Examples:
  • Non-Interactive AI-Based Systems, which perform automated AI processing without interactive AI-based user engagement or bi-directional exchange.
  • Batch Processing AI-Based Systems, which execute scheduled AI tasks rather than interactive AI-based real-time responses to user input.
  • Interactive Non-AI Systems, which provide system interaction but lack AI-based intelligence capability and adaptive behavior.
  • Interactive Structured-Input Systems, which require predefined input formats rather than interactive AI-based natural interaction and flexible input interpretation.
  • One-Way AI Communication Systems, which deliver AI-generated output without interactive AI-based bidirectional exchange or response adaptation.
• See: Real-time AI System, User/AI Experience Design, Autonomous AI System, AI Assistant, Conversational Agent, Dialogue System, AI-Supported Software System.

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References

2023

• (Y.R. Wang et al., 2023) ⇒ Y.R. Wang, J. Duan, S. Talia, H. Zhu. (2023). “A Study of Comfortability between Interactive AI and Human.” In: arXiv preprint arXiv:2302.14360. Link
  • QUOTE: As the use of interactive AI systems becomes increasingly prevalent in our daily lives, it is important to the growing body of literature on interactive AI systems, and it emphasizes the need to …
  • NOTE: Explores the relationship between humans and interactive AI systems, particularly the comfortability and integration of such systems in daily routines.

2022

• (K.M. Liao et al., 2022) ⇒ K.M. Liao, S.C. Ko, C.F. Liu, K.C. Cheng, C.M. Chen, M.I. Sung, …. (2022). “Development of an interactive ai system for the optimal timing prediction of successful weaning from mechanical ventilation for patients in respiratory care ….” In: Diagnostics.
  • QUOTE: Our study aimed to develop an interactive AI system for the optimal timing prediction of successful weaning among patients who received invasive MV while in a RCC. A preliminary AI …
  • NOTE: Describes the creation of an interactive AI system designed for medical applications, specifically to predict weaning times for patients on mechanical ventilation.

2019

• (M.M. Çelikok et al., 2019) ⇒ M.M. Çelikok, T. Peltola, P. Daee, S. Kaski. (2019). “Interactive AI with a Theory of Mind.” In: arXiv preprint arXiv:1912.05284.
  • QUOTE: Understanding each other is the key to success in collaboration. For humans, attributing mental states to others, the theory of mind, provides the crucial advantage. We argue for …
  • NOTE: Discusses the significance of "Theory of Mind" in interactive AI systems for enabling better collaboration and mutual understanding.

2019

• (X. Xie et al., 2019) ⇒ X. Xie, H. Liu, Z. Zhang, Y. Qiu, F. Gao, S. Qi, …. (2019). “Vrgym: A virtual testbed for physical and interactive ai.” In: Proceedings of the ….
  • QUOTE: We propose VRGym, a virtual reality (VR) testbed for realistic human-robot interaction. Different from existing toolkits and VR environments, the VRGym emphasizes on building and …
  • NOTE: Introduces VRGymas a testbed for interactive AI systems in the context of human-robot interactions, emphasizing its differences from existing tools.

1982

• (P.E. Gerring et al., 1982) ⇒ P.E. Gerring, E.H. Shortliffe, W. van Melle. (1982). “Interviewer/Reasoner Model: An Approach to Improving System Responsiveness in Interactive AI Systems.” In: AI Magazine.
  • QUOTE: Interactive intelligent systems often suffer from a basic conflict between their computationally intensive nature and the need for responsiveness to a user. This paper introduces the …
  • NOTE: Highlights challenges faced by interactive AI systems, particularly the balance between computational demands and user responsiveness, and proposes a solution.

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