App interaction design in the pop music singing teaching system based on Differential Evolution Algorithm

Author:

Wu Qinke1

Affiliation:

1. Nanning Normal University

Abstract

Abstract The dynamic spectrum management of cognitive technology can greatly increase the utilization of network spectrum, but while bringing convenience to our daily lives, this new technology will also greatly increase the consumption of nodes. At present, the short video industry is growing rapidly with the development of smart phones. Among them, the emergence of online pop music singing teaching platforms (software that mainly uses music as the background to shoot short videos) Significant changes have taken place in people's lifestyles. We can learn from the three-stage theory of flow experience to design and explore the method of plan implementation, and propose a targeted interaction design strategy for each flow characteristic, so that the overall design strategy becomes more practical and practical. In the design of this paper, the principle of cognitive wireless sensor network is applied in the technical aspect, and the principle of interactive design is applied in the product design.When a user reaches a state of flow while using the online popular music singing teaching platform, it can be evaluated that the user experience of the App is the best. The research on the interaction design of the online pop music singing teaching platform under the flow experience is intended to propose an interactive design strategy that can guide the online pop music singing teaching platform to better create a flow experience for users.

Publisher

Research Square Platform LLC

Reference13 articles.

1. Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks;Zhang W;IEEE Trans Wireless Commun,2009

2. Cooperative spectrum sensing in cognitive radio networks: A survey;Akyildiz IF;Phys communication,2011

3. Multi-objective optimization of spectrum detection in cognitive IoT using artificial physics;Li Y;J Chin Inst Eng,2019

4. Cooperative spectrum sensing in cognitive wireless sensor networks;Zhang X;Int J Distrib Sens Netw,2015

5. Araujo A, Blesa J, Romero E, Villanueva D (2012) “Security in cognitive wireless sensor networks. Challenges and open problems,” EURASIP Journal on Wireless Communications and Networking, vol. no. 1, pp. 1–8, 2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3