<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study aims to explore how the insurance business can combine artificial intelligence (AI), huge data technology and good design under the ecological background of AIoT to improve the efficiency of double-entry in the insurance business and improve the user experience. It is accomplished through observation, user interview and other methods to explore user needs and distress points, comprehensive use of image and video analysis, face recognition, behaviour detection and other AI technologies. aiCore intelligent dual-recording system is proposed, which integrated mobile terminal dual-recording application and backstage quality control system. The proposed system realised the design optimisation of the whole process of intelligent dual-recording scenario combining the three functions ‘front-end intelligent dual-recording, in-process real-time quality control and post-AI quality control.’ Using in-process detection, post-review and manual final audit, the aiCore intelligent dual-recording system has significantly improved the efficiency of dual-recording, quality inspection pass rate and user experience satisfaction.</p>
</abstract>

This study aims to explore how the insurance business can combine artificial intelligence (AI), huge data technology and good design under the ecological background of AIoT to improve the efficiency of double-entry in the insurance business and improve the user experience. It is accomplished through observation, user interview and other methods to explore user needs and distress points, comprehensive use of image and video analysis, face recognition, behaviour detection and other AI technologies. aiCore intelligent dual-recording system is proposed, which integrated mobile terminal dual-recording application and backstage quality control system. The proposed system realised the design optimisation of the whole process of intelligent dual-recording scenario combining the three functions ‘front-end intelligent dual-recording, in-process real-time quality control and post-AI quality control.’ Using in-process detection, post-review and manual final audit, the aiCore intelligent dual-recording system has significantly improved the efficiency of dual-recording, quality inspection pass rate and user experience satisfaction.

Interaction design of financial insurance products under the Era of AIoT

Guangdong University of Finance and Economics

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Interaction design of financial insurance products under the Era of AIoT"}

This study aims to explore how the insurance business can combine artificial intelligence (AI), huge data technology and good design under the ecological...

Compared perspectives		Manual quality inspection	aiCore quality inspection
Efficiency	The one-time pass rate for recording	68.76% or so	Over 99%
	Manual reinspection	1/2 the length of the video	No need for manual reinspection
	The time span for recording	Recording + quality inspection timeBoth execute asynchronouslyUncertain time span	About 30 minutes to complete a compliance video recording
Security	Data security	Risk for information leakage	No risk for information leakage
Security	Quality inspection standard	No unified standard	Unified standard
User experience	Interaction	Recording interaction, no compliance evaluation	Real-time reminders, quickly guide the user to record correctly

Interaction design of financial insurance products under the Era of AIoT

Published Online: May 20, 2022

Page range: 745 - 756

Received: Jul 16, 2021

Accepted: Dec 06, 2021

DOI: https://doi.org/10.2478/amns.2021.2.00162

Keywords
insurance dual-recording, artificial intelligence, internet of things, interaction design

© 2021 Wa An et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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The overall comparison between manual quality inspection and aiCore quality inspection

Interaction design of financial insurance products under the Era of AIoT

Published Online: May 20, 2022

Page range: 745 - 756

Received: Jul 16, 2021

Accepted: Dec 06, 2021

DOI: https://doi.org/10.2478/amns.2021.2.00162

Keywordsinsurance dual-recording, artificial intelligence, internet of things, interaction design

© 2021 Wa An et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

The overall comparison between manual quality inspection and aiCore quality inspection

Keywords
insurance dual-recording, artificial intelligence, internet of things, interaction design