Title: New intelligent interface study based on K-means gaze tracking

Authors: Jing Yu; Hang Li; Shoulin Yin

Addresses: Luxun Academy of Fine Arts, No. 19, Miyoshi Street, HePing District, Shenyang, P.C. 110000, China ' Shenyang Normal University, No. 253, HuangHe Bei Street, HuangGu District, Shenyang, P.C. 110034, China ' Shenyang Normal University, No. 253, HuangHe Bei Street, HuangGu District, Shenyang, P.C. 110034, China

Abstract: User interface (UI) is an interaction and information exchange medium between systems and users, which is convenient to communicate and enable users to operate hardware easily and effectively to achieve the bidirectional interaction. Traditional UI has difficulty in satisfying requirements of users. Therefore, this paper proposes a new intelligence interface scheme based on K-means gaze tracking. First, it uniformly describes the user, interface and system in intelligent interface interaction framework based on visual attention selection mechanism. Second, it uses K-means method to calculate attention degree value of interface on the basis of mapping relation of user, interface and system. Third, it adopts visual attention allocation strategy to predict users' interest degree on interface. Finally, experiments are conducted to verify the performance of our new scheme. The results show that the accuracy of intelligent interface predicting user decision intention is very high. This new method is a kind of selectable solution for marking intelligent interface of user interest goal automatically. What's more, intelligence interface scheme based on K-means gaze tracking can effectively improve the quality of gaze tracking.

Keywords: UI; K-means method; gaze tracking; attention degree; mapping relation.

DOI: 10.1504/IJCSE.2019.10017870

International Journal of Computational Science and Engineering, 2019 Vol.18 No.1, pp.12 - 20

Received: 18 Mar 2017
Accepted: 13 May 2017

Published online: 14 Dec 2018 *

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