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The Semiotics of Emoji: The Rise of Visual Language in the Age of the Internet

為了解決Emoji symbols的問題，作者Danesi, Marcel 這樣論述：

Emoji have gone from being virtually unknown to being a central topic in internet communication. What is behind the rise and rise of these winky faces, clinking glasses and smiling poos? Given the sheer variety of verbal communication on the internet and English's still-controversial role as lingua

mundi for the web, these icons have emerged as a compensatory universal language. The Semiotics of Emoji looks at what is officially the world's fastest-growing form of communication. Emoji, the colourful symbols and glyphs that represent everything from frowning disapproval to red-faced shame, are

fast becoming embedded into digital communication. Controlled by a centralized body and regulated across the web, emoji seems to be a language: but is it? The rapid adoption of emoji in such a short span of time makes it a rich study in exploring the functions of language. Professor Marcel Danesi, a

n internationally-known expert in semiotics, branding and communication, answers the pertinent questions. Are emoji making us dumber? Can they ultimately replace language? Will people grow up emoji literate as well as digitally native? Can there be such a thing as a Universal Visual Language? Read t

his book for the answers. Marcel Danesi is a Professor at the University of Toronto, Canada. He is known for his work in semiotics and youth culture. He has published on the meanings of popular culture and how they inform social evolution. He has also written textbooks introducing linguistics and

semiotics, and published a series of books on advertising as a sign system.

Emoji symbols進入發燒排行的影片

AI客服聊天機器人與媒介豐富度對消費者態度與行為意圖之影響—以電商平台為例

為了解決Emoji symbols的問題，作者林晏竹 這樣論述：

行動商務與即時通訊軟體的蓬勃成長使聊天機器人受到高度的發展與運用。為了提供良好的客戶服務，電商平台利用聊天機器人作為即時服務媒介創造更優質的服務體驗。然而，任務導向聊天機器人卻無法解決在既定腳本外更深入、細微的消費問題，進而影響消費者行為。由此，本研究透過將人工智慧應用於客服聊天機器人，期望藉此提升消費者行為。本研究以電商平台為研究背景，採2（對話導向AI聊天機器人 vs. 任務導向聊天機器人）x2（高媒介豐富度 vs. 低媒介豐富度）二因子組間實驗設計，且就個人相關使用經驗（網路購物售後服務經驗）做進一步研究分析，並以聊天機器人態度、持續使用意圖與口碑推薦意願等三元素為消費者行為組合作為依

變項，探討自變項與依變項兩者之間的交互作用與影響。 本研究結果證實：（1）對話導向AI聊天機器人相較於任務導向聊天機器人，對於消費者行為有較佳的影響；（2）高媒介豐富度相較於低媒介豐富度，對於消費者行為有較正面的影響；（3）無論是何種媒介豐富度，在對話導向AI聊天機器人中，對於聊天機器人態度、持續使用意圖與口碑推薦意願皆不會有差異；（4）在任務導向聊天機器人中，高媒介豐富度相較於低媒介豐富度，會產生較佳的聊天機器人態度、持續使用意圖與口碑推薦意願；（5）使用客服聊天機器人後，相較於使用前會產生較正面的消費者行為；（6）具有網路購物售後服務經驗的消費者，相較於無網路購物售後服務經驗

的消費者，會產生較佳的持續使用意圖，但在聊天機器人態度與口碑推薦意願則無顯著差異。