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拟人化应用程序图标更具吸引力吗?来自神经工效学的证据。

Is an anthropomorphic app icon more attractive? Evidence from neuroergonomomics.

机构信息

School of Economics and Management, Anhui Polytechnic University, Wuhu, PR China; School of Industrial Engineering, Purdue University, West Lafayette, USA.

School of Economics and Management, Anhui Polytechnic University, Wuhu, PR China.

出版信息

Appl Ergon. 2021 Nov;97:103545. doi: 10.1016/j.apergo.2021.103545. Epub 2021 Aug 2.

Abstract

Exploring what types of app icons are attractive has been a topic of great interest in recent years. The main purpose of this study was to explore the neural mechanism of attention capturing of the anthropomorphic app icons based on neuroergonomics. Participants' perception of different app icons was investigated by using event-related potentials (ERPs) and attractiveness evaluation. The results showed that anthropomorphic app icons were evaluated more attractive and elicted larger P2, P3 and LPP amplitude than non-anthropomorphic app icons, which indicated an attention bias to attractive anthropomprphic app icons. The time course of the attention towards anthropomorphic app icons includes three main processes: an early stimulus-driven perceptual detection of app icon features (P2 during 160-200 ms), an involuntary allocation of attention to evaluate and categorize app icons (P3 during 300-500 ms), and experiencing different emotions to anthropomorphic versus non-anthropomorphic app icons (LPP during 500-800 ms). That is, the process of users' perception and attention toward app icons combines "bottom-up" and "top-down" processes. Our findings suggest a new perspective to use ERP components (P2, P3, and LPP) to deep understanding of app icon design. A practical implication is that app icons could be designed using anthropomorphic elements to attract users.

摘要

近年来,探索什么样的应用程序图标具有吸引力一直是一个备受关注的话题。本研究旨在基于神经工效学探讨拟人化应用程序图标的神经注意捕获机制。通过使用事件相关电位(ERP)和吸引力评估来研究参与者对不同应用程序图标的感知。结果表明,拟人化应用程序图标比非拟人化应用程序图标更具吸引力,诱发出更大的 P2、P3 和 LPP 振幅,这表明对有吸引力的拟人化应用程序图标存在注意偏向。对拟人化应用程序图标的注意时间进程包括三个主要过程:对应用程序图标的特征进行早期的刺激驱动的感知检测(160-200ms 期间的 P2)、不由自主地分配注意力来评估和分类应用程序图标(300-500ms 期间的 P3)以及对拟人化与非拟人化应用程序图标产生不同的情绪(500-800ms 期间的 LPP)。也就是说,用户对应用程序图标的感知和注意过程结合了“自下而上”和“自上而下”的过程。我们的研究结果为使用 ERP 成分(P2、P3 和 LPP)深入了解应用程序图标设计提供了新视角。一个实际的启示是可以使用拟人化元素来设计应用程序图标以吸引用户。

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