Journal Information
International Journal of Human-Computer Studies (IJHCS)
Impact Factor:
Call For Papers
The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities.

Research areas relevant to the journal include, but are not limited to:

• Innovative interaction techniques
• Multimodal interaction
• Speech interaction
• Graphic interaction
• Natural language interaction
• Interaction in mobile and embedded systems
• Interface design and evaluation methodologies
• Design and evaluation of innovative interactive systems
• User interface prototyping and management systems
• Ubiquitous computing
• Wearable computers
• Pervasive computing
• Affective computing
• Empirical studies of user behaviour
• Empirical studies of programming and software engineering
• Computer supported cooperative work
• Computer mediated communication
• Virtual reality
• Mixed and augmented Reality
• Intelligent user interfaces
• Presence
• Intelligent tutoring, coaching and debugging systems
• Interactive decision support systems
• Agent-based computing, agent models, co-ordination and communication
• Human language technologies and machine learning in interactive systems
• Knowledge acquisition, discovery, modelling and management
• Peer to peer communication between intelligent systems
• Ontologies, knowledge technologies, semantic web systems
• Human-Computer Interaction theory - e.g. user models, cognitive systems
Last updated by Dou Sun in 2022-11-24
Special Issues
Special Issue on Computational Cognitive Models for Human-Automated Vehicle Interaction
Submission Date: 2022-12-31

This special issue is focused on the development, evaluation, and discussion of computational cognitive models of human-automated vehicle interaction. The capabilities of automated vehicles are rapidly increasing and change human interaction with the vehicle. Yet, at the same time, fully automated vehicles that do not require human interaction are not available. Therefore, systems are needed in which the human and the vehicle interact together. Computational cognitive models that can describe, predict, and/or anticipate human behavior and thought can play a crucial role in this regard. The special issue focuses on models of human behavior and thought in the context of human-automated vehicle interaction. This contrasts with other model approaches such as deep learning models that are used to train a car, and that do not consider (extensively) the role of human cognition. An even more detailed description of the topic can be found on
Last updated by Dou Sun in 2022-11-24
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