Human Behavior and Emerging Technologies
Publishing Collaboration
More info
Wiley Hindawi logo
 Journal metrics
See full report
Acceptance rate13%
Submission to final decision90 days
Acceptance to publication20 days
CiteScore14.400
Journal Citation Indicator2.700
Impact Factor10.3

Submit your research today

Human Behavior and Emerging Technologies is now open for submissions

Read our author guidelines

 Journal profile

Human Behavior and Emerging Technologies is an interdisciplinary journal publishing high-impact research that advances the understanding of complex interactions between diverse human behavior and emerging digital technologies.

 Editor spotlight

Human Behavior and Emerging Technologies maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

 Special Issues

We currently have a number of Special Issues open for submission. Special Issues highlight emerging areas of research within a field, or provide a venue for a deeper investigation into an existing research area.

Latest Articles

More articles
Review Article

Computer, Computer Science, and Computational Thinking: Relationship between the Three Concepts

Digital computers were invented in the 1940s. They are sophisticated and versatile machines whose functioning is grounded in elaborate theory. Advances in theory and the availability of computers helped computer science to develop as an academic discipline, and university departments for the same started coming up in the 1960s. Computer science covers all phenomenon related to computers and consists primarily of man-made laws governing building, programming, and using computers. Computational thinking is a way of thinking influenced by computers and computer science. There are two schools of thought on computational thinking. The first school sees computational thinking as the use of computers to explore the world, while the other sees computational thinking as the application of concepts from computer science to solve real-world problems. Scholars typically agree that computational thinking has four essential components, viz., abstraction, decomposition, algorithm design, and generalization. Computational thinking is often feted by computer scientists as a useful skill that can be used by anybody anywhere. However, it is necessary to find out ways for successfully using computational thinking in domains other than computer science before it can be declared a universal skill.

Research Article

Coimagining the Future of Voice Assistants with Cultural Sensitivity

Voice assistants (VAs) are becoming a feature of our everyday life. Yet, the user experience (UX) is often limited, leading to underuse, disengagement, and abandonment. Co-designing interactions for VAs with potential end-users can be useful. Crowdsourcing this process online and anonymously may add value. However, most work has been done in the English-speaking West on dialogue data sets. We must be sensitive to cultural differences in language, social interactions, and attitudes towards technology. Our aims were to explore the value of co-designing VAs in the non-Western context of Japan and demonstrate the necessity of cultural sensitivity. We conducted an online elicitation study () where Americans () and Japanese people () imagined dialogues () and activities () with future VAs. We discuss the implications for coimagining interactions with future VAs, offer design guidelines for the Japanese and English-speaking US contexts, and suggest opportunities for cultural plurality in VA design and scholarship.

Research Article

Innovative Virtual Reality (VR) Application for Preventing of Falls among Chinese Older Adults: A Usability and Acceptance Exploratory Study

Objective. Full immersive virtual reality (VR) technology shows potential for reducing the risks of falls in older adults. There is yet little evidence to support the usability and acceptance on using VR technology application in community aged care service. The study reports on research that aims to address that gap by evaluating the usefulness and acceptance of using an innovative VR application among Chinese older adults from Hong Kong. Methods. A single-arm exploratory study was conducted to evaluate how the participants experienced the use of a fully immersive cave automatic virtual environment (CAVE) VR program on fall prevention. Thirty-one participants were recruited by convenience sampling based on their fall concerns and potential risk of falls. The participants completed 16 training sessions over eight weeks using the VR CAVE application. They were asked to complete a VR usability questionnaire (HK-version) based on the Technology Acceptance Model and previous research, and they took fall risk assessments at the pretest, posttest, and follow-up. Results. The participants’ group significantly showed improvements in reducing the risk factors of falls including balance, functional mobility, walking speed, and fear of falling after VR intervention. Perceived usefulness (PU), perceived enjoyment (PE), user experience (UE), and intention to use (IU) had an overall significant change at different time points. These are important factors to influence the participants’ acceptance of the use of VR technology applications. Perceived ease of use (PEOU) and social norms (SNs) had an inconsistent result, and some items had low validity. The findings indicated a positive training effect on fall prevention and high acceptance of the adoption of the VR technology application. Conclusion. This study supports the growing evidence on the usefulness and acceptance of using full immersive VR training on fall prevention among Chinese older adults. They perceived that the VR CAVE application was useful and innovative as an effective fall prevention training. Technically, the application of VR CAVE technology faces many challenges and is not easily manageable under COVID-19 restrictions and the limitation on technological adaptation for older adults. However, investment in full immersive VR technology application is supported for future adoption in aged care and rehabilitation services.

Research Article

Social Media: The New Frontier for Human Resource Management in Asia

Social media has become an increasingly vital tool for human resource management (HRM) in many parts of the globe. However, Asian societies have adopted social media for HRM at a lesser rate than Western cultures, which are more egalitarian and open, leading to greater comfort with using social media for professional interactions, even with superiors. This article provides a comprehensive literature review on the use of social media in HRM in Asian societies. The review analyzes 590 studies published between 2013 and 2023, following the PRISMA protocol for systematic reviews and using VOSviewer. The results indicate that the number of publications on this topic has fluctuated, with a notable increase in interest since 2015. The most prolific countries in terms of publications are India, China, Malaysia, Indonesia, Saudi Arabia, Pakistan, Taiwan, South Korea, Thailand, and the UAE. The study identifies significant research clusters and discusses the difficulties encountered when implementing social media technologies in HRM within an Asian context. These obstacles include cultural factors such as collectivism, power distance, and privacy concerns. The controversial findings regarding the distinction between excellent research and practical implementation demonstrate the need for additional research to understand better the potential benefits and challenges of incorporating social media into HRM practices in the region.

Research Article

Towards a Conceptual Model of Users’ Expectations of an Autonomous In-Vehicle Multimodal Experience

People are expected to have more opportunities to spend their free time inside the vehicle with advanced vehicle automation in the near future. This will enable people to turn their attention to desirable activities other than driving and to have varied in-vehicle interactions through multimodal ways of conveying and receiving information. Previous studies on in-vehicle multimodal interactions primarily have focused on making users evaluate the impacts of particular multimodal integrations on them, which do not fully provide an overall understanding of user expectations of the multimodal experience in autonomous vehicles. The research was thus designed to fill the research gap by posing the key question “What are the critical aspects that differentiate and characterise in-vehicle multimodal experiences?” To answer this question, five sessions of design fiction workshops were separately conducted with 17 people to understand the users’ expectations of the multimodal experience in autonomous vehicles. Twenty-two subthemes of users’ expected tasks of multimodal experience were extracted through thematic analysis. The research found that two dimensions, attention and duration, are critical aspects that impact in-vehicle multimodal interactions. With this knowledge, a conceptual model of the users’ in-vehicle multimodal experience was proposed with a two-dimensional spectrum, which populates four different layers: sustained, distinct, concurrent, and coherent. The proposed conceptual model could help designers understand and approach users’ expectations more clearly, allowing them to make more informed decisions from the initial stages of the design process.

Research Article

Artificial Intelligence in the Eyes of Society: Assessing Social Risk and Social Value Perception in a Novel Classification

Artificial intelligence (AI) is a rapidly developing technology that has the potential to create previously unimaginable chances for our societies. Still, the public’s opinion of AI remains mixed. Since AI has been integrated into many facets of daily life, it is critical to understand how people perceive these systems. The present work investigated the perceived social risk and social value of AI. In a preliminary study, AI’s social risk and social value were first operationalized and explored by adopting a correlational approach. Results highlighted that perceived social value and social risk represent two significant and antagonistic dimensions driving the perception of AI: the higher the perceived risk, the lower the social value attributed to AI. The main study considered pretested AI applications in different domains to develop a classification of AI applications based on perceived social risk and social value. A cluster analysis revealed that in the two-dimensional social risk × social value space, the considered AI technologies grouped into six clusters, with the AI applications related to medical care (e.g., assisted surgery) unexpectedly perceived as the riskiest ones. Understanding people’s perceptions of AI can guide researchers, developers, and policymakers in adopting an anthropocentric approach when designing future AI technologies to prioritize human well-being and ensure AI’s responsible and ethical development in the years to come.

Human Behavior and Emerging Technologies
Publishing Collaboration
More info
Wiley Hindawi logo
 Journal metrics
See full report
Acceptance rate13%
Submission to final decision90 days
Acceptance to publication20 days
CiteScore14.400
Journal Citation Indicator2.700
Impact Factor10.3
 Submit Check your manuscript for errors before submitting

Article of the Year Award: Impactful research contributions of 2022, as selected by our Chief Editors. Discover the winning articles.