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Exploring the History of Childhood and Play Through 50 Historic Treasures

為了解決Stuffed animal的問題，作者Fletcher, Susan A. 這樣論述：

A full-color trip through the treasures of American Childhood from 1650 to today. Remember the toys you played with when you were growing up? Each of those objects has a story to tell about the history of American childhood and play. Construction toys like Lincoln Logs and Erector Set offer insight

into America's booming urban infrastructure in the early 1910s and 20s, and the important role toys played in preparing children for future careers in engineering and architecture. A stuffed toy monkey from Germany tells the story of young Jewish refugees to the United States during World War II. Th

e board game Candyland has its origins in the dreaded polio epidemic of 1950s. Exploring Childhood and Play Through 50 Historic Treasures brings together a collection of beloved toys and games from the last two centuries to guide readers on a journey through the history of American childhood and pla

y, 1840-2000. Through color photographs and short essays on each object, this book examines childhood against the backdrop of culture, politics, religion, technology, gender, parenting philosophies, and more. The book features ten categories of objects including board and electronic games, dolls, ac

tion figures, art toys, optical toys, animal toys, construction sets, and sports. Each essay tells the story of the individual object its historic context, and each passage builds upon one another to create a fascinating survey of how childhood and play changed over the course of two centuries. Su

san Fletcher is a public historian, writer, and artist. She serves as the Director of History and Archives for The Navigators and Glen Eyrie. She is also the founder and CEO of History Joy Consulting, an archives and museum consulting firm. Fletcher earned her MA in History from Indiana University -

Purdue University Indianapolis. She is the co-author of Dawson Trotman in His Own Words and has written numerous chapters on state and local history for the Pikes Peak Regional History Book Series. In addition to her scholarly work, her writing appears in Springs Magazine and The Colorado Collectiv

e.

Stuffed animal進入發燒排行的影片

寵物依附、情緒調節與生活品質之相關研究

為了解決Stuffed animal的問題，作者郭倩惠 這樣論述：

本研究旨在探討寵物依附、情緒調節與生活品質之相關研究。研究對象為20歲至50歲成年人飼主，採用問卷調查法進行，共回收有效問卷390份，研究結果以SPSS Statistics 28統計套裝軟體進行分析，經由描述統計、獨立樣本t檢定、單因子變異數分析、Pearson積差相關分析與逐步多元迴歸進行統計分析。根據資料分析結果歸納如下：一、寵物依附：女性寵物依附程度顯著高於男性，31~40歲飼主對寵物依附程度高於41~50歲飼主，養狗者獲得心理慰藉和熟悉感高於養貓者，寵物數量3隻以上的飼主獲得的親密感大過於寵物數量1隻的飼主，單身/未婚飼主與寵物的親密程度高於已婚飼主。二、情緒調節：男性飼主運用壓抑

調節情緒顯著高於女性飼主，41~50歲飼主重新評估能力高於20~30歲飼主，飼養狗之飼主相較於飼養貓之飼主，更常使用壓抑策略調節情緒。三、生活品質：月收入達五萬以上之飼主，對環境範疇的滿度程度高於月收入10,001元~29,999元和月收入30,000元~49,999元之飼主，飼養經驗3~5年之飼主對於環境範疇的滿度程度高於飼養經驗1~3年之飼主。四、寵物依附、情緒調節與生活品質之關係：寵物依附與重新評估具有顯著相關，飼主對寵物依附程度越高，運用重新評估調節情緒能力越高；寵物依附與生活品質達低度正相關；重新評估與生活品質具有顯著相關，飼主運用重新評估調節情緒能力越高，對生活品質感受滿意度越佳。

五、寵物依附與情緒調節對生活品質有預測力，獲得部分支持，重新評估與親密對生活品質總分有正向的預測，壓抑對生活品質總分有負向的預測。根據以上結果，本研究提出相關建議，提供專業助人工作者以及未來研究者參考。

Heart of the Machine: Our Future in a World of Artificial Emotional Intelligence

為了解決Stuffed animal的問題，作者Yonck, Richard 這樣論述：

For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial Intelligence Imagine a robotic stuffed animal that can read and respond to a child's emotional state, a commercial that can recognize and change based on a customer's facial expression, or a company that can ac

tually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our li

ves, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic,

and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, ther

e is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen i

f machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact. The paperback edition has a new foreword by Rana el Kaliouby, PhD, a pioneer in artificial emotional intelligence, as w

ell as the cofounder and CEO of Affectiva, the acclaimed AI startup spun off from the MIT Media Lab. Richard Yonck is a futurist, author, and speaker with Intelligent Future Consulting based in Seattle. An award-winning author on developing trends and technologies, he has written features and cove

r stories for numerous publications and web sites, and is the computing and artificial intelligence contributing editor for the long-running The Futurist magazine. He has been published in Scientific American, World Future Review, Fast Company, Wired, Psychology Today, H+ magazine, American Cinemato

grapher, Mensa Bulletin, and the Seattle Times. He lives in Seattle. Rana el Kaliouby, PhD, is a pioneer in artificial emotional intelligence (Emotion AI), as well as the cofounder and CEO of Affectiva, the acclaimed AI startup spun off from the MIT Media Lab. She grew up in Cairo, Egypt, among a fa

mily of educators. After earning an undergraduate and master’s degree in computer science at the American University in Cairo, she attended Cambridge University, where she earned her PhD. Afterwards, she joined the MIT Media Lab as a research scientist, where she spearheaded the applications of emot

ion recognition technology in a variety of fields, including mental health and autism. She left MIT to cofound Affectiva, the company credited with defining the field of Emotion AI. Her company now works with more than a quarter of the companies in the Fortune Global 500. An acclaimed TED speaker, R

ana was named by Forbes to their list of America’s Top 50 Women in Tech, and Fortune included her in their list of 40 Under 40. In 2018 she was the cohost of a PBS Nova series on AI.

機器人的外觀形態特徵對於自我揭露意願與感知的影響

為了解決Stuffed animal的問題，作者程東奕 這樣論述：

建構一個人與機器人能夠友善社交的環境是許多學者認為的未來趨勢，隨著機器人逐漸進入人們的生活空間，各種造形特徵的機器人應運而生。然而，不同的造形特徵會帶給人不同的意象感受，並且讓人產生趨近或者遠離的情感意願。本研究目的在探討機器人的外觀形態特徵對於人的自我揭露意願與感知，並試圖找出人對於機器人外觀形態特徵的劃分範疇，期能豐富人機互動的研究，並提出適切的設計準則。 本研究共分為三個階段。第一階段透過工作坊形式的焦點團體訪談，運用KJ法和專家評估法並行的混合方式，對機器人外觀形態特徵的認知進行探討。第二階段為建構具有不同空間距離的情境故事文本，再以人際關係之自我揭露意願量表為基礎進行人對機器

人自我揭露意願之量表設計。第三階段則是從第一階段實驗中所定義的10個機器人群體各選出一名具代表性的機器人為受測樣本，並依據第二階段所建構的4個空間距離之情境故事文本與人對機器人進行自我揭露之意願程度量表，探討面對不同外觀形態特徵之機器人進行自我揭露時的意願程度。 研究結果顯示，人面對機器人最先注意到的外觀特徵的劃分範疇為「五體存在的明顯度」，其下位層級依序為「足部有無」、「眼睛靈活度高低」、「頭身比例是否1：1」。根據範疇劃分之結果提出各範疇所對應的意象感受命名分為「穩固可靠」、「穩固呆板」、「動態陪伴」、「靜態陪伴」、「靈巧功能」、「靈巧社交」、「類真人」、「寵物」、「特規的」和「功能

不明」等10個群體。而在這10類機器人群體中，會讓人產生正向自我揭露意願的外觀形態特徵之機器人類別僅有3類，分別是「寵物」、「動態陪伴」與「靜態陪伴」，其中又以「寵物」的外觀形態特徵最能引發人的自我揭露意願。 當機器人的外觀形態具有明顯的五體特徵時，容易讓人感受到機器人的功能性及意象，但亦會讓人產生較高的威脅感，其中又以足部的特徵感受最為明顯。為了提升人對機器人自我揭露的意願，本研究提出五點設計準則建議：(1)避開恐怖谷效應。(2)機器人的頭與身體的比例關係可參考嬰兒比例。(3)提升面部表情的靈活度。(4)身形外觀特徵以圓潤為主或是以寵物為參考。(5)降低機器人的四肢外觀形態強度，尤其是

減少足部特徵所帶來的威脅。本研究希望能藉由上述之設計準則，讓人與「科技物」的對話與互動更為親近，進而設計出更適合與人建立關係之機器人形態。