Vol. 2 No. 1 (2022): Human-Computer Interaction Perspectives
Articles

Accessibility in HCI: Analyzing Inclusive Design Principles and Techniques for Ensuring Accessibility to Interactive Systems for Users With Disabilities

PDF
  • Prof. Wei Chen
Prof. Wei Chen
Professor of Human-Computer Interaction, Peking University, China
Cover

Published 27-02-2024

Keywords

  • Accessibility,
  • Inclusive Design,
  • HCI,
  • User Interface,
  • Disabilities,
  • Usability,
  • Interaction Design,
  • User Experience,
  • Assistive Technology,
  • Universal Design
    • ...More
    Less

How to Cite

[1]
P. W. Chen, “Accessibility in HCI: Analyzing Inclusive Design Principles and Techniques for Ensuring Accessibility to Interactive Systems for Users With Disabilities”, Human-Computer Interaction Persp., vol. 2, no. 1, pp. 1–10, Feb. 2024.
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Abstract

Accessibility in Human-Computer Interaction (HCI) is crucial for ensuring that interactive systems are usable by individuals with disabilities. Inclusive design principles and techniques play a pivotal role in creating accessible interfaces that cater to diverse user needs. This paper examines the significance of inclusive design in HCI and explores various strategies for designing inclusive interfaces. The paper also discusses the challenges and opportunities in implementing inclusive design practices and provides recommendations for future research and development in this field.

PDF

References

  1. Pargaonkar, Shravan. "A Review of Software Quality Models: A Comprehensive Analysis." Journal of Science & Technology 1.1 (2020): 40-53.
  2. Raparthi, Mohan, Sarath Babu Dodda, and SriHari Maruthi. "Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks." European Economic Letters (EEL) 10.1 (2020).
  3. Pargaonkar, Shravan. "Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering." Journal of Science & Technology 1.1 (2020): 61-66.
  4. Raparthi, Mohan, Sarath Babu Dodda, and Srihari Maruthi. "AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health." European Economic Letters (EEL) 11.1 (2021).
  5. Pargaonkar, Shravan. "Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering." Journal of Science & Technology 1.1 (2020): 67-81.
  6. Vyas, Bhuman. "Ensuring Data Quality and Consistency in AI Systems through Kafka-Based Data Governance." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal 10.1 (2021): 59-62.
  7. Pargaonkar, Shravan. "Quality and Metrics in Software Quality Engineering." Journal of Science & Technology 2.1 (2021): 62-69.
  8. Pargaonkar, Shravan. "The Crucial Role of Inspection in Software Quality Assurance." Journal of Science & Technology 2.1 (2021): 70-77.
  9. Vyas, Bhuman. "Optimizing Data Ingestion and Streaming for AI Workloads: A Kafka-Centric Approach." International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068 1.1 (2022): 66-70.
  10. Rajendran, Rajashree Manjulalayam. "Scalability and Distributed Computing in NET for Large-Scale AI Workloads." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal 10.2 (2021): 136-141.
  11. Pargaonkar, Shravan. "Unveiling the Future: Cybernetic Dynamics in Quality Assurance and Testing for Software Development." Journal of Science & Technology 2.1 (2021): 78-84.
  12. Vyas, Bhuman. "Ethical Implications of Generative AI in Art and the Media." International Journal for Multidisciplinary Research (IJFMR), E-ISSN: 2582-2160.
  13. Rajendran, Rajashree Manjulalayam. "Exploring the Impact of ML NET (http://ml. net/) on Healthcare Predictive Analytics and Patient Care." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal 11.1 (2022): 292-297.
  14. Pargaonkar, Shravan. "Unveiling the Challenges, A Comprehensive Review of Common Hurdles in Maintaining Software Quality." Journal of Science & Technology 2.1 (2021): 85-94.
  15. Pargaonkar, S. (2020). A Review of Software Quality Models: A Comprehensive Analysis. Journal of Science & Technology, 1(1), 40-53.
  16. Raparthi, M., Dodda, S. B., & Maruthi, S. (2020). Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks. European Economic Letters (EEL), 10(1).
  17. Pargaonkar, S. (2020). Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering. Journal of Science & Technology, 1(1), 61-66.
  18. Raparthi, M., Dodda, S. B., & Maruthi, S. (2021). AI-Enhanced Imaging Analytics for Precision Diagnostics in Cardiovascular Health. European Economic Letters (EEL), 11(1).
  19. Vyas, B. (2021). Ensuring Data Quality and Consistency in AI Systems through Kafka-Based Data Governance. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(1), 59-62.
  20. Rajendran, R. M. (2021). Scalability and Distributed Computing in NET for Large-Scale AI Workloads. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(2), 136-141.
  21. Pargaonkar, S. (2020). Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering. Journal of Science & Technology, 1(1), 67-81.
  22. Vyas, B. (2022). Optimizing Data Ingestion and Streaming for AI Workloads: A Kafka-Centric Approach. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 1(1), 66-70.
  23. Pargaonkar, S. (2021). Quality and Metrics in Software Quality Engineering. Journal of Science & Technology, 2(1), 62-69.
  24. Vyas, B. Ethical Implications of Generative AI in Art and the Media. International Journal for Multidisciplinary Research (IJFMR), E-ISSN, 2582-2160.
  25. Rajendran, R. M. (2022). Exploring the Impact of ML NET (http://ml. net/) on Healthcare Predictive Analytics and Patient Care. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 11(1), 292-297.
  26. Pargaonkar, S. (2021). The Crucial Role of Inspection in Software Quality Assurance. Journal of Science & Technology, 2(1), 70-77.
  27. Pargaonkar, S. (2021). Unveiling the Future: Cybernetic Dynamics in Quality Assurance and Testing for Software Development. Journal of Science & Technology, 2(1), 78-84.
  28. Pargaonkar, S. (2021). Unveiling the Challenges, A Comprehensive Review of Common Hurdles in Maintaining Software Quality. Journal of Science & Technology, 2(1), 85-94.