Artificial Intelligence, VR, AR and Metaverse Technologies for Human Resources Management
- URL: http://arxiv.org/abs/2406.15383v1
- Date: Fri, 19 Apr 2024 20:42:24 GMT
- Title: Artificial Intelligence, VR, AR and Metaverse Technologies for Human Resources Management
- Abstract summary: Digital Transformation and emerging technologies have commenced integration into HR processes.
This study evaluates the utilization of Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (VR) and the Metaverse within HR management.
- Score: 0.30723404270319693
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Human Resources (HR) technology solutions encompass software and hardware tools designed to automate HR processes, gather, process, and analyze data, utilize it for strategic decision-making, and execute HR professionals' tasks while prioritizing security and privacy considerations. As with numerous other domains, Digital Transformation and emerging technologies have commenced integration into HR processes. These technologies are utilized by HR professionals and various stakeholders involved in HR operations. This study evaluates the utilization of Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (VR), and the Metaverse within HR management, focusing on current trends and potential opportunities. A survey was conducted to gauge HR professionals' perceptions and critiques regarding these technologies. Participants were the HR department officers, academicians who specialized in HR and staff who had courses at diverse levels about HR. The acquired results were subjected to comparative analysis within this article.
Related papers
- Atria Dawn: The Dawn of Agentic Superintelligence [237.73474618289063]
We introduce Atria Dawn Preview, a foundation agentic language model designed for scientific research and engineering.<n>We examine the real research-and-development process behind this model as a case study of human--AI collaboration.
arXiv Detail & Related papers (2026-09-14T16:22:30Z) - AI-Augmented Human Resource Management? Insights from German companies [0.0]
This study examines the integration of AI into Human Resource Management in German companies.<n>We ask if and how AI-based technologies are enquoteaugmenting human resource management.
arXiv Detail & Related papers (2026-07-15T13:46:51Z) - AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science [30.303936447998314]
Recent developments in large language models (LLMs) and artificial intelligence (AI) agents have significantly automated data science workflow.<n>It remains unclear to what extent AI agents can match the performance of human experts on domain-specific data science tasks.<n>We introduce AgentDS, a benchmark and competition designed to evaluate both AI agents and human-AI collaboration performance in domain-specific data science.
arXiv Detail & Related papers (2026-03-19T15:11:13Z) - Twenty Years of Personality Computing: Threats, Challenges and Future Directions [76.46813522861632]
Personality Computing is a field at the intersection of Personality Psychology and Computer Science.
This paper provides an overview of the field, explores key methodologies, discusses the challenges and threats, and outlines potential future directions for responsible development and deployment of Personality Computing technologies.
arXiv Detail & Related papers (2025-03-03T22:03:48Z) - Natural Language Processing for Human Resources: A Survey [7.234532661418072]
The domain of human resources (HR) includes a broad spectrum of tasks related to natural language processing (NLP) techniques.
Recent breakthroughs in NLP have generated significant interest in its industrial applications in this domain.
At the same time, the HR domain can also present unique challenges that drive state-of-the-art in NLP research.
arXiv Detail & Related papers (2024-10-21T20:41:00Z) - Challenges and Opportunities of NLP for HR Applications: A Discussion Paper [13.584222421057696]
Machine learning and natural language processing have opened up vast areas of potential application use cases.
We review the use cases for text analytics in the realm of human resources/personnel management.
arXiv Detail & Related papers (2024-05-13T14:09:06Z) - The Ethics of Advanced AI Assistants [53.89899371095332]
This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants.
We define advanced AI assistants as artificial agents with natural language interfaces, whose function is to plan and execute sequences of actions on behalf of a user.
We consider the deployment of advanced assistants at a societal scale, focusing on cooperation, equity and access, misinformation, economic impact, the environment and how best to evaluate advanced AI assistants.
arXiv Detail & Related papers (2024-04-24T23:18:46Z) - Bridging Gaps, Building Futures: Advancing Software Developer Diversity and Inclusion Through Future-Oriented Research [50.545824691484796]
We present insights from SE researchers and practitioners on challenges and solutions regarding diversity and inclusion in SE.
We share potential utopian and dystopian visions of the future and provide future research directions and implications for academia and industry.
arXiv Detail & Related papers (2024-04-10T16:18:11Z) - Can AI Serve as a Substitute for Human Subjects in Software Engineering
Research? [24.39463126056733]
This vision paper proposes a novel approach to qualitative data collection in software engineering research by harnessing the capabilities of artificial intelligence (AI)
We explore the potential of AI-generated synthetic text as an alternative source of qualitative data.
We discuss the prospective development of new foundation models aimed at emulating human behavior in observational studies and user evaluations.
arXiv Detail & Related papers (2023-11-18T14:05:52Z) - Machine Learning for Administrative Health Records: A Systematic Review
of Techniques and Applications [5.353552655309808]
Administrative Health Records (AHR) are a subset of EHR collected for administrative purposes.
This paper systematically reviews AHR-based research, analysing 70 relevant studies and spanning multiple databases.
We find that while AHR-based studies are disconnected from each other, the use of AHRs in health informatics research is substantial and accelerating.
arXiv Detail & Related papers (2023-08-27T22:34:10Z) - A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics [46.025337523478825]
Talent analytics has emerged as a promising field in applied data science for human resource management.
Recent development of Big Data and Artificial Intelligence techniques have revolutionized human resource management.
arXiv Detail & Related papers (2023-07-03T07:53:20Z) - The Road to a Successful HRI: AI, Trust and ethicS-TRAITS [64.77385130665128]
The aim of this workshop is to foster the exchange of insights on past and ongoing research towards effective and long-lasting collaborations between humans and robots.
We particularly focus on AI techniques required to implement autonomous and proactive interactions.
arXiv Detail & Related papers (2022-06-07T11:12:45Z) - Human-Robot Collaboration and Machine Learning: A Systematic Review of
Recent Research [69.48907856390834]
Human-robot collaboration (HRC) is the approach that explores the interaction between a human and a robot.
This paper proposes a thorough literature review of the use of machine learning techniques in the context of HRC.
arXiv Detail & Related papers (2021-10-14T15:14:33Z) - Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic
Conditions [62.68522031911656]
We propose a simple yet efficient approach to benefit the advantages of the Deep Neural Network (DNN) by simplifying HR estimation from a complex task to learning from very correlated representation to HR.
To be more accurate and work well on low-quality videos, two deep encoder-decoder networks are trained to refine the output of FE.
Experimental results on HR-D and MAHNOB datasets confirm that our method could run as a real-time method and estimate the average HR better than state-of-the-art ones.
arXiv Detail & Related papers (2020-02-12T07:00:07Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.