Computational Intelligence and Neuroscience

Advances in Human-Computer Interactions: Methods, Algorithms, and Applications


Lead Editor

1University of Genoa, Genoa, Italy

2Middlesex University, London, UK

3University of Fribourg, Fribourg, Switzerland

Advances in Human-Computer Interactions: Methods, Algorithms, and Applications


The recent widespread of new technologies and devices for the fruition of multimedia contents (e.g., head-mounted-displays, augmented reality devices, smartphones, and tablets) has been changing the modality of accessing and exploring the digital information, by introducing novel human-computer interaction (HCI) modalities. The even growing market demand, on the one hand, has pushed the diffusion of such technologies; on the other hand, it has hampered a detailed analysis of their effects on the users. In particular, perceptual evidence from cognitive sciences and neurosciences has to be considered during the design of HCI systems in order to decrease visual fatigue and cybersickness and to lead to natural HCI in virtual and augmented reality (VR/AR) environments. Moreover, computer science and artificial intelligence can provide techniques to design systems that adapt themselves to the specific characteristics of each user by producing personalized interfaces that allow a natural HCI, by taking into account the sensorimotor control aspects that arise by using such systems.

The aim of this special issue is to call for high-quality research articles as well as review articles with a focus on perceptual aspects and computational intelligence techniques to improve the HCI systems in order to obtain natural and ecological ways to interact with digital contents in VR and AR environments, but not only.

Potential topics include but are not limited to the following:

  • Natural and ecological HCI in virtual/augmented/mixed reality environments
  • Computational intelligence approach to improve users’ experience
  • Sensorimotor control in virtual/augmented/mixed reality environments and in HCI systems
  • Cognitive science and psychological research on human perception and effects of HCI interfaces
  • Hand/face/body tracking and activity recognition
  • Vision neuroscience and computational vision models for HCI
  • Haptic-based and human-robot interfaces in virtual/augmented/mixed reality environments
  • Misperception issues and undesired effects in visualization devices (e.g., S3D displays and head-mounted displays)
  • Passive BCI-based HCI and eye-tracking for HCI
  • Applications based on S3D displays, smartphones, tablets, and head-mounted displays


  • Special Issue
  • - Volume 2018
  • - Article ID 4127475
  • - Editorial

Advances in Human-Computer Interactions: Methods, Algorithms, and Applications

Fabio Solari | Manuela Chessa | ... | Jean-Pierre Bresciani
  • Special Issue
  • - Volume 2018
  • - Article ID 4920132
  • - Research Article

Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game

Harlei Miguel de Arruda Leite | Sarah Negreiros de Carvalho | ... | Dalton Soares Arantes
  • Special Issue
  • - Volume 2018
  • - Article ID 4278782
  • - Research Article

Sinc-Windowing and Multiple Correlation Coefficients Improve SSVEP Recognition Based on Canonical Correlation Analysis

Valeria Mondini | Anna Lisa Mangia | ... | Angelo Cappello
  • Special Issue
  • - Volume 2018
  • - Article ID 7148427
  • - Research Article

Effectiveness of Serious Games for Leap Motion on the Functionality of the Upper Limb in Parkinson’s Disease: A Feasibility Study

Edwin Daniel Oña | Carlos Balaguer | ... | Alberto Jardón
  • Special Issue
  • - Volume 2018
  • - Article ID 2703513
  • - Research Article

A Machine Learning Approach to the Detection of Pilot’s Reaction to Unexpected Events Based on EEG Signals

Bartosz Binias | Dariusz Myszor | Krzysztof A. Cyran
  • Special Issue
  • - Volume 2018
  • - Article ID 4160652
  • - Research Article

Recurrent Transformation of Prior Knowledge Based Model for Human Motion Recognition

Cheng Xu | Jie He | ... | Chong Li
  • Special Issue
  • - Volume 2017
  • - Article ID 6076913
  • - Review Article

Enrichment of Human-Computer Interaction in Brain-Computer Interfaces via Virtual Environments

Alonso-Valerdi Luz María | Mercado-García Víctor Rodrigo
Computational Intelligence and Neuroscience
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Acceptance rate50%
Submission to final decision45 days
Acceptance to publication27 days
Journal Citation Indicator0.700
Impact Factor3.120

Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.