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    <name>Conference Paper</name>
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              <text>Self Risk Assessment Model Embedded with Conversational User interface for Selection of Health Insurance Product</text>
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              <text>Conversational User interface; Health Insurance; Human-Computer Interaction; Risk assessment and aggregation; Transcoder; Visually Impaired People</text>
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              <text>In this research, we propose a dynamic model that works through Human-Computer Interaction to facilitate a smooth customer experience for health insurance prospects. The model facilitates the prospects to self assess their health risks. The integration of Conversational User interface, such as Mobile User Interface, Graphic User Interface and Bots with transcoder permits seamless use of the model by any category of prospects, irrespective of their language. Moreover, the model also helps the visually impaired person to interact without any hassle with the presence of a transcoder that permits conversion of text into speech and vice versa. The learner model comprises of the Prospects' detail module and Risk Assessment modules. The Prospects' detail module collects data from the predefined list. The risk assessment module profiles and assesses the risk based on the data inputted in the Prospects' detail module. The risk assessment level module categorizes the level of risk as low, moderate or high for each prospect depending on the total risk exposure level. The total risk exposure level is computed based on the pre-defined threshold. This model aids the prospect in determining the risk level and thereby facilitates self-selection of health insurance policy, thus reducing over reliance on the insurer. This model helps the prospect to take an independent purchase decision.  2022 IEEE.</text>
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              <text>Ilango V.; Uma V.R.; Kotekani S.S.; Raja M A.S.</text>
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              <text>2022 2nd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2022</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICAECT54875.2022.9808023" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICAECT54875.2022.9808023&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134267854&amp;amp;doi=10.1109%2FICAECT54875.2022.9808023&amp;amp;partnerID=40&amp;amp;md5=eea04493e6613bb7eb25d8bc182c2127" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134267854&amp;amp;doi=10.1109%2fICAECT54875.2022.9808023&amp;amp;partnerID=40&amp;amp;md5=eea04493e6613bb7eb25d8bc182c2127&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-166541120-2</text>
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              <text>Online</text>
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              <text>Conference paper</text>
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              <text>Ilango V., Cmr Institute of Technology, Department of Computer Application, Bangalore, 560037, India; Uma V.R., Christ University, School of Commerce, Finance and Accountancy, Bangalore, 560029, India; Kotekani S.S., Cmr Institute of Technology, Bangalore, 560037, India; Raja M A.S., Christ University, School of Commerce, Finance and Accountancy, Bangalore, 560029, India</text>
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