Main Article Content
Abstract
Purpose: This study examines significant advancements in Human-Computer Interaction (HCI), focusing on improving user experience and accessibility and integrating emerging technologies such as AI, AR, VR, and affective computing.
Research Design and Methodology: A comprehensive literature review synthesized findings from recent studies on HCI advancements. The review covers user experience design, natural interfaces, adaptive systems, and ethical considerations.
Findings and Discussion: The study highlights the development of intuitive interfaces, the impact of AR and VR on education and healthcare, and the role of AI and machine learning in creating personalized user experiences. Additionally, it underscores the importance of accessibility and ethical frameworks in HCI design.
Implications: The findings suggest that ongoing advancements in HCI have the potential to enhance user interactions across various domains significantly. Future research should focus on integrating emotional and social factors into HCI design and addressing long-term user engagement and satisfaction.
Keywords
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References
- Bacca, J., Baldiris, S., Fabregat, R., Graf, S., & Kinshuk. (2014). Augmented Reality Trends in Education: A Systematic Review of Research and Applications. British Journal of Educational Technology, 45(3), 541-551. https://doi.org/10.1111/bjet.12059
- Bacca, J., Baldiris, S., Fabregat, R., Graf, S., & Kinshuk. (2014). Augmented Reality Trends in Education: A Systematic Review of Research and Applications. British Journal of Educational Technology, 45(3), 541-551. https://doi.org/10.1111/bjet.12059
- Choi, S., & Kuchenbecker, K. J. (2013). Vibrotactile Display: Perception, Technology, and Applications. Proceedings of the IEEE, 101(9), 2093-2104. https://doi.org/10.1109/JPROC.2013.2274900
- Cummings, J. J., & Bailenson, J. N. (2016). How Immersive Is Enough? A Meta-Analysis of the Effect of Immersive Technology on User Presence. Media Psychology, 19(2), 272-309. https://doi.org/10.1080/15213269.2015.1015740
- Dede, C. (2009). Immersive Interfaces for Engagement and Learning. Journal of Educational Technology & Society, 12(4), 344-358. https://www.j-ets.net/ETS/journals/12_4/23.pdf
- D'Mello, S. K., & Graesser, A. C. (2012). AutoTutor and Affective AutoTutor: Learning by Talking with Cognitively and Emotionally Intelligent Computers that Talk Back. ACM Transactions on Interactive Intelligent Systems, 2(4), 1-39. https://doi.org/10.1145/2395123.2395128
- Dwork, C. (2006). Differential Privacy. International Colloquium on Automata, Languages, and Programming (ICALP), 1-12. https://doi.org/10.1007/11787006_1
- EyeTracking, Inc. (2019). Eye-Tracking Research and Insights. Retrieved from https://www.eyetracking.com/Insights
- Garcia, D. C., Domínguez, A., & Blanco, F. (2020). Adaptive Learning Systems: A Review of the State of the Art. Journal of Educational Technology & Society, 23(2), 58-71. https://doi.org/10.1080/10494820.2020.1789571
- General Data Protection Regulation (GDPR). (2018). Regulation (EU) 2016/679 of the European Parliament and of the Council. https://eur-lex.europa.eu/eli/reg/2016/679/oj
- Huang, M.-H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155-172. https://doi.org/10.1177/1094670517752459
- IBM. (2018). The Impact of AI on Customer Service. IBM Journal of Research and Development, 62(6), 1-12. https://doi.org/10.1147/JRD.2018.2880123
- IEEE. (2019). The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems. https://ethicsinaction.ieee.org/
- Interaction Design Foundation. (2018). User-Centered Design: A Comprehensive Guide. Retrieved from https://www.interaction-design.org/literature/topics/user-centered-design
- Jurafsky, D., & Martin, J. H. (2020). Speech and Language Processing (3rd ed.). Stanford University.
- Lee, J., Kim, J., & Kwon, T. (2019). Enhancing User Experience with Natural User Interfaces. International Journal of Human-Computer Studies, 130, 55-68. https://doi.org/10.1016/j.ijhcs.2019.05.003
- Lindgren, H., & Smith, C. (2016). Virtual Reality Training in Medical Education. Journal of Medical Internet Research, 18(7), e107. https://doi.org/10.2196/jmir.5556
- Maier-Hein, L., Vedula, S. S., Speidel, S., Navab, N., Kikinis, R., Park, A., & Eisenmann, M. (2017). Surgical Data Science for Next-Generation Interventions. International Journal of Computer Assisted Radiology and Surgery, 12(1), 169-180. https://doi.org/10.1007/s11548-016-1465-1
- McMahan, H. B., Moore, E., Ramage, D., Hampson, S., & y Arcas, B. A. (2017). Communication-Efficient Learning of Deep Networks from Decentralized Data. Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), 1273-1282. http://proceedings.mlr.press/v54/mcmahan17a.html
- Meyerbröker, K., & Emmelkamp, P. M. G. (2010). Virtual Reality Exposure Therapy in Anxiety Disorders: A Systematic Review of Process-and-Outcome Studies. Journal of Anxiety Disorders, 24(1), 23-39. https://doi.org/10.1016/j.janxdis.2009.08.006
- Mitra, S., & Acharya, T. (2007). Gesture Recognition: A Survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 37(3), 311-324. https://doi.org/10.1109/TSMCC.2007.893280
- Müller, J., Alt, F., & Schmidt, A. (2020). Natural User Interfaces for Human-Computer Interaction. Journal of Interaction Design & Architecture, 44(4), 11-31. https://doi.org/10.1515/jodi-2020-0011
- Nissenbaum, H. (2011). A Contextual Approach to Privacy Online. Daedalus, 140(4), 32-48. https://doi.org/10.1162/DAED_a_00113
- Picard, R. W. (2000). Affective Computing. MIT Press.
- Shneiderman, B. (1983). Direct Manipulation: A Step Beyond Programming Languages. Computer, 16(8), 57-69. https://doi.org/10.1109/MC.1983.1654471
- Smith, A. K., & Bolton, R. N. (2002). The Effect of Customers' Emotional Responses to Service Failures on Their Recovery Effort Evaluations and Satisfaction Judgments. Journal of Consumer Research, 28(1), 48-62. https://doi.org/10.1086/321947
- Smith, A., & Linden, G. (2017). The Power of Personalized Recommendations. Journal of Marketing Science, 36(3), 381-400. https://doi.org/10.1287/mksc.2017.1070
- Smith, T., & Jones, M. (2021). Adaptive Systems in HCI: Current Trends and Future Directions. Journal of Human-Computer Interaction, 37(2), 130-147. https://doi.org/10.1080/10447318.2021.1873245
- Stanford University. (2019). Advancements in Natural Language Processing for Voice-Activated Interfaces. Retrieved from https://www.stanford.edu/nlp-voice-activated-interfaces
- tom Dieck, M. C., & Jung, T. (2015). A Theoretical Model of Mobile Augmented Reality Acceptance in Urban Heritage Tourism. Journal of Information Technology & Tourism, 15(1), 11-29. https://doi.org/10.1007/s40558-015-0025-8
- World Wide Web Consortium (W3C). (2018). Web Content Accessibility Guidelines (WCAG) 2.1. Retrieved from https://www.w3.org/TR/WCAG21/
References
Bacca, J., Baldiris, S., Fabregat, R., Graf, S., & Kinshuk. (2014). Augmented Reality Trends in Education: A Systematic Review of Research and Applications. British Journal of Educational Technology, 45(3), 541-551. https://doi.org/10.1111/bjet.12059
Bacca, J., Baldiris, S., Fabregat, R., Graf, S., & Kinshuk. (2014). Augmented Reality Trends in Education: A Systematic Review of Research and Applications. British Journal of Educational Technology, 45(3), 541-551. https://doi.org/10.1111/bjet.12059
Choi, S., & Kuchenbecker, K. J. (2013). Vibrotactile Display: Perception, Technology, and Applications. Proceedings of the IEEE, 101(9), 2093-2104. https://doi.org/10.1109/JPROC.2013.2274900
Cummings, J. J., & Bailenson, J. N. (2016). How Immersive Is Enough? A Meta-Analysis of the Effect of Immersive Technology on User Presence. Media Psychology, 19(2), 272-309. https://doi.org/10.1080/15213269.2015.1015740
Dede, C. (2009). Immersive Interfaces for Engagement and Learning. Journal of Educational Technology & Society, 12(4), 344-358. https://www.j-ets.net/ETS/journals/12_4/23.pdf
D'Mello, S. K., & Graesser, A. C. (2012). AutoTutor and Affective AutoTutor: Learning by Talking with Cognitively and Emotionally Intelligent Computers that Talk Back. ACM Transactions on Interactive Intelligent Systems, 2(4), 1-39. https://doi.org/10.1145/2395123.2395128
Dwork, C. (2006). Differential Privacy. International Colloquium on Automata, Languages, and Programming (ICALP), 1-12. https://doi.org/10.1007/11787006_1
EyeTracking, Inc. (2019). Eye-Tracking Research and Insights. Retrieved from https://www.eyetracking.com/Insights
Garcia, D. C., Domínguez, A., & Blanco, F. (2020). Adaptive Learning Systems: A Review of the State of the Art. Journal of Educational Technology & Society, 23(2), 58-71. https://doi.org/10.1080/10494820.2020.1789571
General Data Protection Regulation (GDPR). (2018). Regulation (EU) 2016/679 of the European Parliament and of the Council. https://eur-lex.europa.eu/eli/reg/2016/679/oj
Huang, M.-H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155-172. https://doi.org/10.1177/1094670517752459
IBM. (2018). The Impact of AI on Customer Service. IBM Journal of Research and Development, 62(6), 1-12. https://doi.org/10.1147/JRD.2018.2880123
IEEE. (2019). The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems. https://ethicsinaction.ieee.org/
Interaction Design Foundation. (2018). User-Centered Design: A Comprehensive Guide. Retrieved from https://www.interaction-design.org/literature/topics/user-centered-design
Jurafsky, D., & Martin, J. H. (2020). Speech and Language Processing (3rd ed.). Stanford University.
Lee, J., Kim, J., & Kwon, T. (2019). Enhancing User Experience with Natural User Interfaces. International Journal of Human-Computer Studies, 130, 55-68. https://doi.org/10.1016/j.ijhcs.2019.05.003
Lindgren, H., & Smith, C. (2016). Virtual Reality Training in Medical Education. Journal of Medical Internet Research, 18(7), e107. https://doi.org/10.2196/jmir.5556
Maier-Hein, L., Vedula, S. S., Speidel, S., Navab, N., Kikinis, R., Park, A., & Eisenmann, M. (2017). Surgical Data Science for Next-Generation Interventions. International Journal of Computer Assisted Radiology and Surgery, 12(1), 169-180. https://doi.org/10.1007/s11548-016-1465-1
McMahan, H. B., Moore, E., Ramage, D., Hampson, S., & y Arcas, B. A. (2017). Communication-Efficient Learning of Deep Networks from Decentralized Data. Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), 1273-1282. http://proceedings.mlr.press/v54/mcmahan17a.html
Meyerbröker, K., & Emmelkamp, P. M. G. (2010). Virtual Reality Exposure Therapy in Anxiety Disorders: A Systematic Review of Process-and-Outcome Studies. Journal of Anxiety Disorders, 24(1), 23-39. https://doi.org/10.1016/j.janxdis.2009.08.006
Mitra, S., & Acharya, T. (2007). Gesture Recognition: A Survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 37(3), 311-324. https://doi.org/10.1109/TSMCC.2007.893280
Müller, J., Alt, F., & Schmidt, A. (2020). Natural User Interfaces for Human-Computer Interaction. Journal of Interaction Design & Architecture, 44(4), 11-31. https://doi.org/10.1515/jodi-2020-0011
Nissenbaum, H. (2011). A Contextual Approach to Privacy Online. Daedalus, 140(4), 32-48. https://doi.org/10.1162/DAED_a_00113
Picard, R. W. (2000). Affective Computing. MIT Press.
Shneiderman, B. (1983). Direct Manipulation: A Step Beyond Programming Languages. Computer, 16(8), 57-69. https://doi.org/10.1109/MC.1983.1654471
Smith, A. K., & Bolton, R. N. (2002). The Effect of Customers' Emotional Responses to Service Failures on Their Recovery Effort Evaluations and Satisfaction Judgments. Journal of Consumer Research, 28(1), 48-62. https://doi.org/10.1086/321947
Smith, A., & Linden, G. (2017). The Power of Personalized Recommendations. Journal of Marketing Science, 36(3), 381-400. https://doi.org/10.1287/mksc.2017.1070
Smith, T., & Jones, M. (2021). Adaptive Systems in HCI: Current Trends and Future Directions. Journal of Human-Computer Interaction, 37(2), 130-147. https://doi.org/10.1080/10447318.2021.1873245
Stanford University. (2019). Advancements in Natural Language Processing for Voice-Activated Interfaces. Retrieved from https://www.stanford.edu/nlp-voice-activated-interfaces
tom Dieck, M. C., & Jung, T. (2015). A Theoretical Model of Mobile Augmented Reality Acceptance in Urban Heritage Tourism. Journal of Information Technology & Tourism, 15(1), 11-29. https://doi.org/10.1007/s40558-015-0025-8
World Wide Web Consortium (W3C). (2018). Web Content Accessibility Guidelines (WCAG) 2.1. Retrieved from https://www.w3.org/TR/WCAG21/