Designing Intelligent Man-Machine Interfaces for Enhanced User Interaction

Intelligent Man-Machine Interfaces (IMMI) is to revolutionize human interaction with technology by utilizing advanced technologies such as artificial intelligence, machine learning, and natural language processing to create intuitive and spontaneous user experiences. The scope of IMMI includes enhancing the efficiency and authenticity of these interactions, improving customer satisfaction through individualized solutions based on user behavior and preferences, and making technology more accessible to a wider audience, including individuals with disabilities. IMMI also aims to boost productivity and efficiency in professional settings by streamlining workflows, automating routine tasks, and enabling quicker decision-making processes. As AI and machine learning systems learn from user interactions, they progressively enhance the relevance and accuracy of their responses, while multimodal interactions—combining speech, touch, gesture, and facial recognition—offer a versatile and robust user experience. The development and testing of these interfaces rely on tools like Sketch, Figma, Adobe XD, and AI frameworks such as TensorFlow, PyTorch, and Keras. IMMI also integrates speech recognition and NLP capabilities through tools like Google Cloud Speech-to-Text, Amazon Lex, and IBM Watson, and leverages AR and VR technologies to create immersive experiences in education, gaming, and healthcare. As AI continues to advance, IMMI is expected to become more prevalent in everyday electronics, enabling sophisticated customization and improved accessibility for all. However, the increasing use of AI and data collection within IMMI presents significant privacy concerns, requiring robust data security measures and transparent privacy policies. Technological constraints and user acceptance challenges also highlight the need for ongoing research, development, and effective communication of IMMI's benefits. Despite these challenges, IMMI remains focused on enhancing user experiences, increasing accessibility, and driving productivity across various domains.

List of topics:

•          Role of Intelligent Man-Machine Interfaces for enhanced user interaction.

•          Utilization of AI and ML for enhanced user experiences in IMMI.

•          Analysis of IMMI and Accessibility for disabled users.

•          Optimization of privacy and security considerations in Intelligent Man-Machine Interfaces.

•          Future trends and emerging technologies of IMMI.

•          Contribution of emotion recognition in enhancing IMMI interactions.

•          Strategies to overcome technological limitations in IMMI development.

•          Enhancing accessibility through AI and Interface Design.

•          Applications of user-centric design in prototyping tools to enhance interface usability.

•          Advancements of AR and VR applications in education, gaming, and healthcare

Timeline Schedule:

Submission deadline:              January 25, 2025

Author notification:                March 25, 2025

Revised papers due:                May 30, 2025

Final notification:                    July 30, 2025

Guest Editor team Information:

Dr. Emmanuel Gbenga Dada

University of Maiduguri,

Nigeria.

          Email id: gbengang@outlook.com

Dr. Stephen Joseph Bassi

University of Maiduguri,

Nigeria.

Email id: sjbassi74@unimaid.edu.ng

Dr. Ayodele Lasisi

King Khalid University, 

Saudi Arabia.

Email id: alasisi@kku.edu.sa

Submission must be sent to this email: gbengang@outlook.com