Vol. 4 No. 1 (2024): Journal of AI-Assisted Scientific Discovery
Articles

Collaborative Interfaces - Group Work Support: Analyzing collaborative interface designs for supporting group work and collaboration in distributed or co-located settings

Dr. Stefan Wagner
Associate Professor of Computer Science, Graz University of Technology, Austria
Cover

Published 16-05-2024

Keywords

  • Collaborative interfaces,
  • interface designs

How to Cite

[1]
Dr. Stefan Wagner, “Collaborative Interfaces - Group Work Support: Analyzing collaborative interface designs for supporting group work and collaboration in distributed or co-located settings”, Journal of AI-Assisted Scientific Discovery, vol. 4, no. 1, pp. 242–251, May 2024, Accessed: Sep. 14, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/127

Abstract

Collaboration is a cornerstone of productivity and innovation in various domains, ranging from business to academia. As technology continues to advance, the design of collaborative interfaces plays a crucial role in facilitating effective group work. This paper presents a comprehensive analysis of collaborative interface designs aimed at supporting group work and collaboration in both distributed and co-located settings. We examine the key principles, challenges, and emerging trends in this field, highlighting the importance of user-centric design and seamless integration of collaborative tools. Through a review of existing literature and case studies, we identify best practices and design considerations for creating effective collaborative interfaces. Our findings provide valuable insights for researchers, designers, and practitioners seeking to enhance collaboration through innovative interface designs.

Downloads

Download data is not yet available.

References

  1. Vemoori, Vamsi. "Envisioning a Seamless Multi-Modal Transportation Network: A Framework for Connected Intelligence, Real-Time Data Exchange, and Adaptive Cybersecurity in Autonomous Vehicle Ecosystems." Australian Journal of Machine Learning Research & Applications 4.1 (2024): 98-131.
  2. Prabhod, Kummaragunta Joel. "AI-Driven Insights from Large Language Models: Implementing Retrieval-Augmented Generation for Enhanced Data Analytics and Decision Support in Business Intelligence Systems." Journal of Artificial Intelligence Research 3.2 (2023): 1-58.
  3. Sadhu, Ashok Kumar Reddy, et al. "Enhancing Customer Service Automation and User Satisfaction: An Exploration of AI-powered Chatbot Implementation within Customer Relationship Management Systems." Journal of Computational Intelligence and Robotics 4.1 (2024): 103-123.
  4. Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.
  5. Perumalsamy, Jegatheeswari, Bhavani Krothapalli, and Chandrashekar Althati. "Machine Learning Algorithms for Customer Segmentation and Personalized Marketing in Life Insurance: A Comprehensive Analysis." Journal of Artificial Intelligence Research 2.2 (2022): 83-123.
  6. Venkatasubbu, Selvakumar, Subhan Baba Mohammed, and Monish Katari. "AI-Driven Storage Optimization in Embedded Systems: Techniques, Models, and Real-World Applications." Journal of Science & Technology 4.2 (2023): 25-64.
  7. Devan, Munivel, Bhavani Krothapalli, and Lavanya Shanmugam. "Advanced Machine Learning Algorithms for Real-Time Fraud Detection in Investment Banking: A Comprehensive Framework." Cybersecurity and Network Defense Research 3.1 (2023): 57-94.
  8. Althati, Chandrashekar, Bhavani Krothapalli, and Bhargav Kumar Konidena. "Machine Learning Solutions for Data Migration to Cloud: Addressing Complexity, Security, and Performance." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 38-79.
  9. Selvaraj, Amsa, Bhavani Krothapalli, and Lavanya Shanmugam. "AI and Machine Learning Techniques for Automated Test Data Generation in FinTech: Enhancing Accuracy and Efficiency." Journal of Artificial Intelligence Research and Applications 4.1 (2024): 329-363.
  10. Konidena, Bhargav Kumar, Jesu Narkarunai Arasu Malaiyappan, and Anish Tadimarri. "Ethical Considerations in the Development and Deployment of AI Systems." European Journal of Technology 8.2 (2024): 41-53.
  11. Devan, Munivel, et al. "AI-driven Solutions for Cloud Compliance Challenges." AIJMR-Advanced International Journal of Multidisciplinary Research 2.2 (2024).
  12. Katari, Monish, Gowrisankar Krishnamoorthy, and Jawaharbabu Jeyaraman. "Novel Materials and Processes for Miniaturization in Semiconductor Packaging." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 2.1 (2024): 251-271.
  13. Tatineni, Sumanth, and Naga Vikas Chakilam. "Integrating Artificial Intelligence with DevOps for Intelligent Infrastructure Management: Optimizing Resource Allocation and Performance in Cloud-Native Applications." Journal of Bioinformatics and Artificial Intelligence 4.1 (2024): 109-142.
  14. Makka, A. K. A. “Comprehensive Security Strategies for ERP Systems: Advanced Data Privacy and High-Performance Data Storage Solutions”. Journal of Artificial Intelligence Research, vol. 1, no. 2, Aug. 2021, pp. 71-108, https://thesciencebrigade.com/JAIR/article/view/283.
  15. Katari, Monish, Lavanya Shanmugam, and Jesu Narkarunai Arasu Malaiyappan. "Integration of AI and Machine Learning in Semiconductor Manufacturing for Defect Detection and Yield Improvement." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 3.1 (2024): 418-431.
  16. Prakash, Sanjeev, et al. "Achieving regulatory compliance in cloud computing through ML." AIJMR-Advanced International Journal of Multidisciplinary Research 2.2 (2024).
  17. Peddisetty, Namratha, and Amith Kumar Reddy. "Leveraging Artificial Intelligence for Predictive Change Management in Information Systems Projects." Distributed Learning and Broad Applications in Scientific Research 10 (2024): 88-94.
  18. Venkataramanan, Srinivasan, et al. "Leveraging Artificial Intelligence for Enhanced Sales Forecasting Accuracy: A Review of AI-Driven Techniques and Practical Applications in Customer Relationship Management Systems." Australian Journal of Machine Learning Research & Applications 4.1 (2024): 267-287.
  19. Althati, Chandrashekar, Jesu Narkarunai Arasu Malaiyappan, and Lavanya Shanmugam. "AI-Driven Analytics: Transforming Data Platforms for Real-Time Decision Making." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 3.1 (2024): 392-402.
  20. Venkatasubbu, Selvakumar, and Gowrisankar Krishnamoorthy. "Ethical Considerations in AI Addressing Bias and Fairness in Machine Learning Models." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 1.1 (2022): 130-138.