Gesture Recognition: towards Making Future Retail Buying Experience Stimulating
Preeti Mehra1, Balpreet Kaur2
1Dr. Preeti Mehra, Associate Professor, Mittal School of Business, Lovely Professional University, Phagwara, Punjab, India.
2Dr. Balpreet Kaur, Associate Professor, Department of Management Studies and Commerce, DIPS Institute of Management and Technology, Jalandhar, Punjab, India.
Manuscript received on March 16, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 2446-2449 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7875038620/2020©BEIESP | DOI: 10.35940/ijrte.F7875.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the present study, an attempt was made to identify the core keywords through text mining and also to find out whether the core keywords are imperative for presence of gesture control technology in retail stores. First, we collected online reviews of respondents (customers) and unearthed core keywords from it by using method of text mining. And then text clustering analysis was applied to investigate the importance of the extracted core keywords. After that, empirical test was conducted for exhibiting the influence of core keywords through examination of the significance of a retail store’s adoption of gesture control and other technologies. R programming software was employed for the analysis of the same. It was concluded that the customers consider ‘Gesture Technology’ assisted activities as being ‘Fun’ and ‘Fulfilling’. On the other hand, the consumers believe these technologies can also be used to create a ‘Social Bond’.
Keywords: Gesture Recognition, Retail Store, Visual, Text mining, R program.
Scope of the Article: Web and Text Mining.