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Namaste Ruled Journal

為了解決R studio online的問題，作者Insight Editions (COR) 這樣論述：

Let the reverence of namaste inspire you through your day as you make lists, take notes, or write your heart out. Stay inspired everywhere you go. From mornings at the yoga studio to evenings in the sanctuary of your home, this beautifully crafted journal will inspire and accompany you as you learn,

grow, and create. With sturdy construction and sewn binding, the journal lies flat and features a beautiful vegan leather cover. The 192 lined, acid-free pages of high-quality, FSC(R)-certified paper take both pen and pencil nicely to invite a flow of inspiration. The journal also features a ribbon

placeholder, elastic closure, and 7.5 x 4.5-inch back pocket, ideal for holding photographs and mementos. The elegant design of this journal makes it the spiritual seeker''s perfect companion. Scott Campbell, sometimes known as Scott C., is the creator of the GREAT SHOWDOWNS online series and Dou

ble Fine Action Comics. He was art director and concept artist at Double Fine Productions on such games as Psychonauts, Brutal Legend, and Broken Age. His illustrated picture books include Zombie in Love, Zombie in Love 2 + 1, East Dragon West Dragon, XO, OX: A Love Story, Bob Dylan’sIf Dogs Run Fre

e and Hug Machine, in which he has written the words as well as created the pictures. Scott lives in New York City.

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不同創新接受程度使用者對Pantone配色應用程式的互動滿意度

為了解決R studio online的問題，作者陳維真 這樣論述：

在現今瞬息萬變的社會，各行各業彼此激烈競爭，為取得更高的利益，建立品牌（Brand）與品牌個性（Brand Personality），鮮明的印象讓消費者認知與辨別產品特徵已變成趨勢。而為更進一步吸引消費者，對於企業來說，最重要的事情之一就是「色彩」。根據美國公司WebFX Team調查，84.7%的消費者將顏色視為購買特定產品的主要原因，而93%的人們在買東西時會看視覺外觀，且人們在初次觀看後的90秒內會對產品做出購買抉擇。因此，色彩的必要性和準確性，已不再僅適用於印刷業或平面設計師。目前彩通色彩系統（Pantone Matching System）是全世界通用的色彩標準，近年來Panton

e將其色票雲端化，並為設計工作者開發手機應用程式「Pantone Connect」，採用新的Pantone雲端配色軟體，幫助辨識現實生活中物體的色彩，並簡化設計師們在色彩溝通、決策上的過程。本研究以使用者互動滿意度（Questionnaire for User Interaction Satisfaction, QUIS）為問卷構面，探討不同創新接受程度使用者對Pantone Connect App的互動滿意度，依循本研究結果，將樣本總共分為四大類，分為創新者（Innovator）、早期採用者（Early Adopter）、早期大眾（Early Majority）、非創新者（Non - Inn

ovator），並進一步分析，得知（1）受測者的性別會影響Pantone Connect APP介面整體反應的互動滿意度；（2）受測者基本個人資料並不會影響Pantone Connect APP介面呈現的互動滿意度；（3）受測者具有使用Pantone實體色票簿經驗會影響Pantone Connect APP介面用詞和系統資訊的互動滿意程度，其他的個人基本資料並不會有影響；（4）受測者的年齡與創新接受程度會影響Pantone Connect APP學習APP反應的互動滿意程度；（5）沒有使用Pantone實體色票簿經驗與沒有聽過Pantone Connect APP的受測者對APP性能的互動滿意

程度較高；（6）受測者的個人基本資訊與創新接受程度並不會對Pantone Connect APP使用者介面可用性的互動滿意程度產生影響；（7）互動滿意度與創新程度呈現正相關，當創新性越高，使用者的「整體反應」、「介面呈現」、「介面用詞與系統資訊」、「學習APP反應」滿意度越高。

Om Ruled Journal

為了解決R studio online的問題，作者Insight Editions (COR) 這樣論述：

Let the sacred sound of Om guide you through your day as you take notes and write about everything that inspires you. Carry the enlightened spirit of Om with you everywhere you go with this journal. From mornings at the yoga studio to evenings in the sanctuary of your home, this beautifully crafted

journal will inspire and accompany you as you learn, grow, and create every day. With sturdy construction and sewn binding, the journal lies flat and features an elegant vegan leather cover. The 192 lined, acid-free pages of high-quality, FSC(R)-certified paper take both pen and pencil nicely to in

vite a flow of inspiration. The journal also features a ribbon placeholder, elastic closure, and 7.5 x 4.5-inch back pocket, ideal for holding photographs and mementos. The elegant design of this journal makes it the spiritual seeker''s perfect companion. Scott Campbell, sometimes known as Scott C

., is the creator of the GREAT SHOWDOWNS online series and Double Fine Action Comics. He was art director and concept artist at Double Fine Productions on such games as Psychonauts, Brutal Legend, and Broken Age. His illustrated picture books include Zombie in Love, Zombie in Love 2 + 1, East Dragon

West Dragon, XO, OX: A Love Story, Bob Dylan’sIf Dogs Run Free and Hug Machine, in which he has written the words as well as created the pictures. Scott lives in New York City.

觀影人情緒辨識分析之個人差異研究

為了解決R studio online的問題，作者簡薏珈 這樣論述：

臉部表情的辨識通常可用來判斷觀影人在觀看影片時，情緒之高低起伏及轉折。本研究有兩個目標：1）判斷臉部表情是否可以用來辨別內心的情緒狀態，2）研究如何利用對個人差異的暸解來對臉部表情辨識系統進行個人化情緒校正。本研究提出了一個新的方法，整合了人工智慧臉部情緒辨識模型與個人情緒校正模型來對人臉部表情進行情緒校正。首先，臉部情緒辨識模型以人工智慧神經網路EfficientNet作為架構，進行情緒分類及面部情緒分數計算，並將辨識出的情緒分數歷程轉換為個人觀影各類情緒分數。接著以隨機森林（Random Forest）演算法作為分類器，從本研究設計的問卷所收集之觀眾個人資料、人格特質與影片資訊作為輸入，

來預測觀眾對影片的評分。為了驗證模型之可行性，本研究收集了十二部不同類型的喜劇或戲謔影片，並參考文獻設計了一個人格分析問卷及影片評分表，由觀影者在看完每部短片後立即評分，並在觀影後完成問卷。實驗結果顯示個人化差異因子與臉部情緒表情有顯著關聯，而且利用問卷所收集之個人化差異因子，在95%信賴區間下，可更準確地達到80％以上的準確度。從實驗結果也發現，不同面向的情緒分數能幫助個人情緒校正模型更有效的預測觀影者對影片的評分。