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Patent Trend Analysis: Extended Reality (XR) and Future Virtual Adventure

Author

Listed:
  • Liu
  • Li-Lun
  • Chiang
  • Chung Hang

Abstract

Patent trend analysis plays an effective and important role in innovation tendencies and investigating high-tech progressions among technology field. The interdisciplinary applications of XR technology have led to scattered scholarly works and fragmentary insights to be translated into practice. XR is an umbrella term that encompasses both virtual reality (VR), augmented reality (AR) and mixed reality (MR), among others. Despite the promising outlook, this nascent technology has been shrouded by uncertain possibilities, making the adoption of XR technology much slower than expected. Thus, there is a demanding need for a critical review and synthesis XR patent analysis in order to support this emerging field in information system (IS). To accomplish this goal, the study analysis the current patent trend from 2016 to 2021 total of 412 patents through the software of INNOVUE. In summary, this study identifies the major trends in development and forecasts the future of XR adoption. Â

Suggested Citation

  • Liu & Li-Lun & Chiang & Chung Hang, 2023. "Patent Trend Analysis: Extended Reality (XR) and Future Virtual Adventure," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 13(2), pages 1-2.
    • Handle: RePEc:spt:admaec:v:13:y:2023:i:2:f:13_2_2
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    References listed on IDEAS

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    1. Sergio Petralia, 2020. "Mapping General Purpose Technologies with Patent Data," Papers in Evolutionary Economic Geography (PEEG) 2027, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2020.
    2. Li, Xin & Xie, Qianqian & Jiang, Jiaojiao & Zhou, Yuan & Huang, Lucheng, 2019. "Identifying and monitoring the development trends of emerging technologies using patent analysis and Twitter data mining: The case of perovskite solar cell technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 687-705.
    3. Bigwood, Michael P., 1997. "Patent trend analysis: Incorporate current year data," World Patent Information, Elsevier, vol. 19(4), pages 243-249, December.
    4. Petralia, Sergio, 2020. "Mapping general purpose technologies with patent data," Research Policy, Elsevier, vol. 49(7).
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