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Multimodal human-computer interaction for enhancing customers’ decision-making and experience on B2C e-commerce websites

机译:多模式人机交互,可增强客户在B2C电子商务网站上的决策和体验

摘要

The main aim of this thesis was to identify, complement and refine the factors that contribute to users’ intention to purchase, satisfaction and attitude toward using a particular B2C online environment, as well as the causal relationships between these factors. A systematic literature review on Information System (IS), Market Research, and User Experience (UX), which has informed the design and development of a pilot study, has been conducted. Results have led to the conception of an online shopping decision-making (OSDM) model called ‘Episodic UX Model on Decision-Making’ (EUX-DM). It has been developed by integrating the established Technology Acceptance Model (TAM) as well as Information System Success Model (ISSM), and emerging UX models, and Expectation-Confirmation Theory (ECT). Results from analysing 305 responses to the web-based questionnaire aimed to evaluate EUX-DM verified its validity. In addition, after investigating the users’ preferences for the possible modifications related to the use of visual avatar in a particular B2C e-Commerce website for information presentation, another research focus has been placed on identifying the real conversational functions and their related communicational behaviour in designing male and female visual avatars’ facial expressions and body gestures. Following this, four different types of information presentations have been developed to be used in a contrived B2C online shopping environment, namely: (i) 2D static graphical and textual information, (ii) non-expressive avatars, (iii) avatars with facial expressions, (iv) and avatars with facial expressions and body gestures information presentations. Consequently, these information presentations were empirically investigated through two experimental studies. The outcomes of these studies indicated that the gender of the avatar and participants were found to be insignificant factors for any of the measured qualities, and the use of visual avatars with animated facial expressions and body gestures positively influenced customers’ usage attitude, intention to purchase and satisfaction.
机译:本文的主要目的是确定,补充和完善影响用户购买意愿,使用特定B2C在线环境的满意度和态度的因素,以及这些因素之间的因果关系。已对信息系统(IS),市场研究和用户体验(UX)进行了系统的文献综述,该文献为初步研究的设计和开发提供了信息。结果导致了一种在线购物决策模型(OSDM)的概念,该模型称为“决策过程的UX用户模型”(EUX-DM)。它是通过集成已建立的技术接受模型(TAM)和信息系统成功模型(ISSM),新兴的UX模型以及期望确认理论(ECT)来开发的。分析305份旨在评估EUX-DM的基于Web的调查表的答复的结果证实了其有效性。此外,在调查了用户对特定B2C电子商务网站中使用可视化身进行信息表示可能进行的修改的偏好之后,另一个研究重点放在了确定真实的对话功能及其相关的交流行为上。设计男女视觉化身的面部表情和手势。在此之后,已经开发出四种不同类型的信息表示形式,用于人为的B2C在线购物环境中,即:(i)2D静态图形和文本信息,(ii)非表达化身,(iii)具有面部表情的化身,(iv)以及带有面部表情和身体手势信息演示的化身。因此,通过两项实验研究对这些信息展示进行了实证研究。这些研究的结果表明,虚拟化身和参与者的性别对于任何衡量的质量都不重要,并且使用具有动画表情和肢体姿势的视觉化身对顾客的使用态度,购买意愿有积极影响。和满意。

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