International Journal of Human-Computer Interaction

Papers
(The H4-Index of International Journal of Human-Computer Interaction is 33. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Virtual Reality Sickness: A Review of Causes and Measurements392
How Should My Chatbot Interact? A Survey on Social Characteristics in Human–Chatbot Interaction Design202
Systematic Review: Trust-Building Factors and Implications for Conversational Agent Design114
Identifying Causes of and Solutions for Cybersickness in Immersive Technology: Reformulation of a Research and Development Agenda88
University Students’ Perception of Video-Based Learning in Times of COVID-19: A TAM/TTF Perspective82
What Drives Gift-giving Intention in Live Streaming? The Perspectives of Emotional Attachment and Flow Experience79
My Teacher Is a Machine: Understanding Students’ Perceptions of AI Teaching Assistants in Online Education78
Measuring Visual Fatigue and Cognitive Load via Eye Tracking while Learning with Virtual Reality Head-Mounted Displays: A Review68
Trust in AI and Its Role in the Acceptance of AI Technologies68
Six Human-Centered Artificial Intelligence Grand Challenges62
Modelling and Evaluating Trust in Mobile Commerce: A Hybrid Three Stage Fuzzy Delphi, Structural Equation Modeling, and Neural Network Approach59
Mapping Human–Computer Interaction Research Themes and Trends from Its Existence to Today: A Topic Modeling-Based Review of past 60 Years58
Why Is Artificial Intelligence Blamed More? Analysis of Faulting Artificial Intelligence for Self-Driving Car Accidents in Experimental Settings56
How to Increase Automated Vehicles’ Acceptance through In-Vehicle Interaction Design: A Review54
My Smart Speaker is Cool! Perceived Coolness, Perceived Values, and Users’ Attitude toward Smart Speakers54
Older Adults’ Online Shopping Continuance Intentions: Applying the Technology Acceptance Model and the Theory of Planned Behavior52
Attention: Theory, Principles, Models and Applications52
Multi-Language Toolkit for the System Usability Scale51
Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI49
Exploring the Privacy Concerns in Using Intelligent Virtual Assistants under Perspectives of Information Sensitivity and Anthropomorphism46
Exploring Users’ Behavioral Intention to Adopt Mobile Augmented Reality in Education through an Extended Technology Acceptance Model45
Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA43
Psychometric Evaluation of the F-SUS: Creation and Validation of the French Version of the System Usability Scale43
Artificial Intelligence Is Trusted Less than a Doctor in Medical Treatment Decisions: Influence of Perceived Care and Value Similarity43
How Positive and Negative Electronic Word of Mouth (eWOM) Affects Customers’ Intention to Use Social Commerce? A Dual-Stage Multi Group-SEM and ANN Analysis40
Metaverse Meets Branding: Examining Consumer Responses to Immersive Brand Experiences39
Insights into Older Adults’ Technology Acceptance through Meta-Analysis39
Evaluating the Use of Smartwatches for Learning Purposes through the Integration of the Technology Acceptance Model and Task-Technology Fit38
A Systematic Review of Ten Years of Research on Human Interaction with Social Robots37
Examining the Impact of Psychological, Social, and Quality Factors on the Continuous Intention to Use Virtual Meeting Platforms During and beyond COVID-19 Pandemic: A Hybrid SEM-ANN Approach35
The Role of Privacy Cynicism in Consumer Habits with Voice Assistants: A Technology Acceptance Model Perspective35
The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust34
Systematic Literature Review of Virtual Reality Intervention Design Patterns for Individuals with Autism Spectrum Disorders33
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