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Multimodal Technologies and Interaction - MDPI | 2024 Impact Factor :2.4 | Cite Score:5.8 | Q2

Multimodal Technologies and Interaction Journal With Cite Score

Cite Score and Journal Rank of Multimodal Technologies and Interaction

  • About: The Multimodal Technologies and Interaction Journal is a peer-reviewed publication focused on the study and advancement of multimodal interaction technologies. It provides a platform for researchers, engineers, and practitioners to publish original research articles, reviews, and technical notes on the integration and application of various modalities in human-computer interaction.
  • Objective:
    The primary objective of the journal is to advance the understanding and development of multimodal interaction technologies. It aims to facilitate the dissemination of innovative research that enhances the design, implementation, and evaluation of systems that use multiple modes of interaction, such as visual, auditory, and haptic modalities.
  • Topics Covered:
    The Multimodal Technologies and Interaction Journal covers a wide range of topics including: Multimodal user interfaces and interaction techniques Fusion and integration of multiple sensory modalities Speech, gesture, and touch-based interaction systems Human-computer interaction (HCI) in multimodal environments Applications of multimodal technologies in virtual and augmented reality Usability and user experience of multimodal systems Advances in machine learning and AI for multimodal interaction Challenges and solutions in multimodal data processing and interpretation
  • Impact:
    The journal significantly impacts both academia and industry by promoting research that enhances the development and application of multimodal interaction technologies. Its publications contribute to the creation of more intuitive and effective systems that improve user experience and interaction with technology.
  • Significance:
    The Multimodal Technologies and Interaction Journal is significant in advancing the field of multimodal interaction by providing a forum for high-quality, peer-reviewed research. By highlighting the latest innovations and applications of multimodal technologies, the journal supports the development of advanced systems that facilitate more natural and efficient human-computer interactions.

  • Editor-in-Chief:  Prof. Dr. Mark Billinghurst

  • Scope: Multimodal Technologies and Interaction is a journal focused on the integration and application of various modalities in technology and human-computer interaction. It covers research that involves multiple modes of interaction, such as visual, auditory, and tactile, to enhance user experience and technology functionality. Here are the key areas typically covered in this journal:
  • 1. Multimodal Interaction Systems
    Development and evaluation of systems that integrate multiple modalities for user interaction
    Research on the design and implementation of multimodal interfaces
    Case studies on applications involving combined visual, auditory, and tactile modalities
  • 2. Human-Computer Interaction (HCI)
    Studies on user interaction with technology through various modalities
    Research on usability, user experience, and accessibility in multimodal systems
    Development of novel interaction techniques and user interfaces
  • 3. Multimodal Data Fusion
    Techniques for integrating and processing data from multiple sensory modalities
    Research on algorithms and methods for multimodal data fusion
    Applications in fields such as speech recognition, gesture recognition, and context-aware systems
  • 4. Speech and Audio Processing
    Research on speech recognition, synthesis, and processing in multimodal systems
    Development of audio-based interaction techniques and applications
    Case studies on the integration of speech and audio with other modalities
  • 5. Computer Vision and Image Processing
    Techniques for visual perception and interpretation in multimodal systems
    Research on image and video analysis, including object recognition and tracking
    Integration of visual information with other modalities for enhanced interaction
  • 6. Haptic and Tactile Interaction
    Development of haptic feedback systems and tactile interfaces
    Research on the integration of touch and force feedback with other modalities
    Applications in virtual reality, augmented reality, and assistive technologies
  • 7. Multimodal Learning and Perception
    Studies on how humans integrate and process information from multiple modalities
    Research on machine learning techniques for multimodal perception and interaction
    Development of models that simulate human multimodal learning and perception
  • 8. Augmented and Virtual Reality
    Integration of multimodal interaction techniques in AR and VR environments
    Research on immersive experiences using visual, auditory, and haptic feedback
    Case studies of applications in gaming, training, and simulation
  • 9. Context-Aware Systems
    Development of systems that adapt interactions based on contextual information from multiple modalities
    Research on context-aware computing and environment sensing
    Applications in personalized user experiences and adaptive interfaces
  • 10. Wearable and Ubiquitous Computing
    Research on wearable devices and ubiquitous computing systems that use multiple modalities
    Development of interaction techniques and user interfaces for wearable technology
    Case studies on applications in health monitoring, fitness tracking, and personal assistants
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  24144088

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  2.4

  • Subject Area and Category:   Computer Science, Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Neuroscience, Neuroscience (miscellaneous)

  • Publication Frequency:  

  • H Index:  38

  • Best Quartile:

    Q1:  

    Q2:  Computer Networks and Communications

    Q3:  

    Q4:  

  • Cite Score:  5.8

  • SNIP:  1.146

  • Journal Rank(SJR):  0.590