An Interaction-Design Method Based upon a Modified Algorithm of Newton's Second Law of Motion

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Qiao Feng, Tian Huang
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引用次数: 0

Abstract

Newton's Second Law of Motion algorithm is crucial to interactive visual effects and interactive behavior in interface design. Designers can only utilize simple algorithm templates in interface design since they lack organized mathematical science, especially programming. Directly using Newton's Second Law of Motion algorithm introduces two interface design issues. First, the created picture has a simplistic impact, laborious interaction, too few interactive parts, and boring visual effects. Second, using this novel approach directly to interface design reduces creativity, originality, and cognitive inertia. This study suggests a Newton's Second Law-based algorithm modification. It provides a novel algorithm application idea and a design strategy based on algorithm change to enable new interface design. Algorithm design gives interface design a new viewpoint and improves content production. In the arithmetic process of Newton's second law of motion algorithm, the introduction of repulsive force, reset force, shape, color and other attributes of interactive objects, and the integration of other algorithms to transform its basic arithmetic logic, which is conducive to the improvement of the visual effect of interaction design. It also improves users' interaction experiences, sentiments, and desire to participate with design work.

基于牛顿第二运动定律修正算法的交互设计方法
牛顿第二运动定律算法对于界面设计中的交互视觉效果和交互行为至关重要。由于缺乏有条理的数学科学,尤其是编程,设计师只能在界面设计中使用简单的算法模板。直接使用牛顿第二运动定律算法会带来两个界面设计问题。首先,设计出来的画面效果简单,交互费力,交互部分太少,视觉效果乏味。其次,直接使用这种新颖的方法进行界面设计会降低创造力、原创性和认知惰性。本研究提出了基于牛顿第二定律的算法修改建议。它提供了一种新颖的算法应用思路和基于算法变化的设计策略,从而实现新的界面设计。算法设计为界面设计提供了新的视角,改进了内容生产。在牛顿第二运动定律算法的运算过程中,引入交互对象的斥力、复位力、形状、颜色等属性,并融合其他算法改造其基本运算逻辑,有利于交互设计视觉效果的提升。同时,它还能改善用户的交互体验、情感和参与设计工作的欲望。
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来源期刊
CiteScore
3.60
自引率
15.00%
发文量
241
期刊介绍: The ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) publishes high quality original archival papers and technical notes in the areas of computation and processing of information in Asian languages, low-resource languages of Africa, Australasia, Oceania and the Americas, as well as related disciplines. The subject areas covered by TALLIP include, but are not limited to: -Computational Linguistics: including computational phonology, computational morphology, computational syntax (e.g. parsing), computational semantics, computational pragmatics, etc. -Linguistic Resources: including computational lexicography, terminology, electronic dictionaries, cross-lingual dictionaries, electronic thesauri, etc. -Hardware and software algorithms and tools for Asian or low-resource language processing, e.g., handwritten character recognition. -Information Understanding: including text understanding, speech understanding, character recognition, discourse processing, dialogue systems, etc. -Machine Translation involving Asian or low-resource languages. -Information Retrieval: including natural language processing (NLP) for concept-based indexing, natural language query interfaces, semantic relevance judgments, etc. -Information Extraction and Filtering: including automatic abstraction, user profiling, etc. -Speech processing: including text-to-speech synthesis and automatic speech recognition. -Multimedia Asian Information Processing: including speech, image, video, image/text translation, etc. -Cross-lingual information processing involving Asian or low-resource languages. -Papers that deal in theory, systems design, evaluation and applications in the aforesaid subjects are appropriate for TALLIP. Emphasis will be placed on the originality and the practical significance of the reported research.
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