It is Indeed Time to Focus on Ai Based Image Recognizing App to Boost the Self-Confidence of the Visually Challenged in the Indian Context
Neha Patvardhan1, Smita Santoki2
1Dr. Neha Patvardhan, Assistant Professor, Symbiosis Institute of International Business, Pune (Maharashtra), India.
2Ms. Smita Santoki, Assistant Professor, Symbiosis Institute of International Business, Pune (Maharashtra), India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1267-1274 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B10510882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1051.0882S819
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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: Purpose: Artificial intelligence (AI) will be at the forefront of any modern communication in the future, so this research is carried out to find out the strengths and limitations of the AI based image recognizing app (AI poly) for the visually impaired people and also to assess the self-confidence of such people before and after using the app Methodology: 40 visually impaired people from the Atmadeepam Society (Nagpur, India) who are computer – educated and smartphone users considered for the study using mixed research methods. For measuring the app usability, InApp survey is undertaken and for finding the self-confidence; ASCI inventory is done Findings: More than 80% of the respondents are satisfied with the app however; this does not hold true for the Indian food items recognizing feature of the app as the satisfaction is as low as 63%. There is a marginal improvement seen in their self-confidence post regularly using this app for three months Practical Implications: It is evident from the findings that these visually impaired people are extremely happy in using this AI poly app to overcome their navigation challenges and get confidence in doing their own things independently On the other hand, research finding also shows a set of people who are not convinced fully with the AI based apps functioning. These were typically based on incorrect object identification, difficulty in understanding the accent of the voice assistants Social Implications: The visually impaired will be better equipped to function due to increased confidence, positive attitude and thus gaining a place in society as an active contributor to the economy, which will contribute to the Disabilities integration Originality / Value: The paper attempts to study modern AI accessibility applications for visually impaired persons, in particular related to object recovery in the Indian context. And to assess their self-confidence post using the app.
Keywords: Artificial Intelligence (AI), App(s), Image Recognition, Self-confidence, Visually Impaired and Indian Context.
Scope of the Article: Image Security