Title: Human-computer interaction experience evaluation method of intelligent electronic product interface

Authors: Hai-Xia Yan

Addresses: Shaanxi University of Technology, Hanzhong 723001, Shaanxi Province, China

Abstract: Aiming at the problems of large evaluation error and low correlation of evaluation indexes in the evaluation of human-computer interaction experience of intelligent electronic product interface, the evaluation method of human-computer interaction experience of intelligent electronic product interface is proposed. Firstly, the characteristic data of balance, conciseness and integrity of intelligent electronic product interface are extracted and pre-processed. Secondly, according to the divided experience dimension, the evaluation indexes of sensory experience, interactive experience and emotional experience are determined. The entropy value of the evaluation index is calculated through the score matrix to determine the weight of the evaluation index. Finally, the membership function is combined with the experience evaluation index weight set to build a fuzzy experience comprehensive evaluation model, and the evaluation results are modified by the correction function to realise the experience evaluation. The results show the evaluation method in this paper can effectively reduce the evaluation error.

Keywords: intelligent electronic product interface; human-computer interaction experience; dimension; score matrix; variation factor.

DOI: 10.1504/IJPD.2022.125372

International Journal of Product Development, 2022 Vol.26 No.1/2/3/4, pp.193 - 205

Received: 30 Sep 2021
Accepted: 15 Mar 2022

Published online: 07 Sep 2022 *

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