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Exploring barriers to adoption of Virtual Reality through Social Media Analytics and Machine Learning - An assessment of technology, network, price and trialability

机译:通过社交媒体分析和机器学习探索通过虚拟现实的障碍 - 对技术,网络,价格和可试验性的评估

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This paper aims to assess how diffusion of Virtual Reality (VR) technology is taking place and identify potential barriers to increased adoption. This is done by utilising Social Media Analytics to collect a data set covering an empirical material of 6044 user-generated content concerning the market-leading VR headsets Oculus Rift and HTC Vive, and machine learning to identify critical barriers to adoption. Our findings suggest that there is a lack of sufficient technological performance of these headsets and that more applications are required for this technology to take off. We contribute to literature on VR by providing a systematic assessment of current barriers to adoption while also pointing out implications for marketing.
机译:本文旨在评估虚拟现实(VR)技术的扩散如何以及识别增加采用的潜在障碍。这是通过利用社交媒体分析来收集涵盖关于市场领先的VR耳机Ocuft和HTC Vive和HTC Vive的经验材料的数据集,以及识别采用的关键障碍的机器学习。我们的研究结果表明,这些耳机缺乏足够的技术性能,并且这种技术需要更多的应用程序来起飞。我们通过对采用的当前障碍进行系统评估,为VR提供贡献,同时也指出对营销的影响。

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