Context-Aware Augmented Reality Using Human–Computer Interaction Models

Abstract

Augmented Reality is a technique that allows users to overlap digital information with their physical world. The Augmented Reality (AR) displays have an exceptional characteristic from the Human–Computer Interaction (HCI) perspective. Due to its increasing popularity and application in diverse domains, increasing user-friendliness and AR usage are critical. Context-aware is one approach since an AR application can adapt to the user, environment, needs and enhance ergonomic principles and functionality. This paper proposes the Intelligent Contextaware Augmented Reality Model (ICAARM) for Human–Computer Interaction systems. This study explores and reduces interaction uncertainty by semantically modeling user-specific interaction with context, allowing personalised interaction. Sensory information is captured from an AR device to understand user interactions and context. These depictions carry semantics to Augmented Reality applications about the user's intention to interact with a specific device affordance. Thus, this study describes personalised gesture interaction in VR/AR applications for immersive/intelligent environments.

KEYWORDS:

• Augmented Reality
• Context-aware
• Human–Computer Interaction

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Ying Sun

Sun Ying, Henan Provincial Research Center of Wisdom Education and Intelligent Technology Application Engineering Technology, Zhengzhou Railway Vocational and technical college, Zhengzhou,Henan,450052, China; Sun Ying holds a master's degree in software engineering. Has been working in Zhengzhou Railway Vocational and technical college, Henan intelligent education and intelligent technology application engineering technology research center. Her research focus is virtual reality technology.

Qiongqiong Guo

Guo Qiongqiong holds a master's degree in software engineering. Has been working in Zhengzhou Railway Vocational and technical college, Henan intelligent education and intelligent technology application engineering technology research center. Her research focus is virtual reality technology.

Shumei Zhao

Zhao Shumei holds a Master of Engineering. Has been working in Zhengzhou Railway Vocational and technical college, Henan intelligent education and intelligent technology application engineering technology research center. Her research focus is computer application.

Karthik Chandran

Karthik Chandran (Senior Member, IEEE) received the B.E. degree in electronics and instrumentation engineering from the Kamaraj College of Engineering and Technology, India, in 2007, and the M.Tech. degree in control and instrumentation engineering and the Ph.D. degree from the Kalasalingam Academy of Research and Education (KARE), in 2011 and 2017, respectively. He served as a Postdoctoral Researcher with Shanghai Jiao Tong University, China, from 2018 to 2020. He is currently serving as an Associate Professor with the Department of Mechatronics Engineering, Jyothi Engineering College, Thrissur. He has published several international journals and conference papers. His research interests include time delay control problem, nonlinear system identification, cascade control systems, and unmanned vehicle.

G. Fathima

G. Fathima obtained B.E degree in Computer Science & Engineering from Madurai Kamaraj University, Madurai in 1994 and M.E in Computer Science from R.E.C., Trichirapalli in 2003. She joined as Lecturer in Adhiyamaan College of Engineering, Hosur in 1997. Currently working as Professor in the Department of computer science engineering. Her research interest includes analysis of routing protocols of Wireless and Mobile Ad hoc Networks. She is the life member of ISTE and IEEE.