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音声CAPTCHAにおける了解度と心的負荷の検討
西本 卓也, 松村 瞳, 渡辺 隆行: “音声CAPTCHAシステムにおける了解度と心的負荷の検討,” 日本音響学会 2010年春季研究発表会 講演論文集, 3-4-3, pp.1487-1490, Tokyo, Mar 2010.
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https://www.hubspot.com/state-of-marketing
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Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
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https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
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ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
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Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
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PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
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See the original article on Forbes here:
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With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
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See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
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Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.
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* ChatGPT and OpenAI belong to OpenAI, L.L.C.
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• Go beyond discussing the status of everyday work to higher level topics, including recognition, performance, development, and career aspirations
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About the Speakers
Jamie Resker - Founder and Practice Leader for Employee Performance Solutions (EPS)
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Want to learn more? Join us for an upcoming Product Tour!
http://bit.ly/2yitfqu
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Doyouseeyourpassword (Section.3~4.2.4)
- 1. 3.Study Design~4.2.4 Procedure 作成者： 1230025 河崎雄大 1230079 石塚正也 1230073 水谷祐基
- 2. 3.研究の目的 • テキストベースのパスワード ▫ Recognitionとrecallの効率性の差 ▫ 参加者の能力を比較 テキストパスワードを思い出す 単語をパスワードとして認識する事 ▫ ユーザ認証における実践的な記憶の限界を評価で きた
- 3. パスワードの現状・Main Question • パスワードを設定する時、できるだけシンプルなも のを選ぶ傾向がある。 ▫ ほとんどは、簡単に覚えられるもの • パスワードを効率的に覚えられるかどうかははっき りしない。 ▫ 特に、記憶のタスクが“recognition”（認識）である場 合 • The Research Question ▫ 認識ベースのテキストパスワードのシステムは、昔な がらのパスワードよりも質の高い認証を促進できる か？
- 4. 比較するパスワードシステム • パスワードを用いた認証システム ▫ ランダムな6文字の小文字を覚え入力する ▫ パスワード領域: log2(256) , or 28 bit • テキスト認識による認証システム ▫ PassFacesが顔の認識に使用したのと同様な方法 ▫ 幾つかの単語の組を認識 ▫ 各単語はスクリーン上に表示 ▫ 連続６回、ユーザは26単語の表示から、1単語を認識するよう聞かれる 制御条件の上で、パスワード領域をマッチさせるため ▫ パスワード領域: log2(266) , or 28 bit • 4つの単語を用いた認証システム ▫ 4つの単語の組を覚える ▫ それらが１つのパスワードとして働く ▫ この４つは156の単語の中から選ばれる ▫ パスワード領域: log2(1564) , or 29 bit
- 5. 実験１：実験条件 ▫ 各々の状況は被験者に異なるテキストベースの認証メ カニズムを与える • その１.6文字のランダムなテキストパスワード ▫ アルファベットの小文字を使用 ▫ 条件:letter recall • その2. 4つの単語を組とした１つのパスワード ▫ 条件:word recall • その3. cognometric graphical password system ▫ 単語が書かれたパネルを示す ▫ 認証のため、それらを連続してクリックする ▫ 条件:word recognition
- 6. 単語を用いた認証の利点 • 単語を用いた認証条件 ▫ word recall ▫ word recognition ⇒潜在的な利点 • ユーザがより複雑なパスワードを使用可 単語に関連した意味を覚える letter recall 状況では不可
- 7. 実験で測定する各指標 • 被験者毎に全てのパスワードはランダムに決定 ▫ Maximum Memory Time パスワードを記憶可能な最大時間 パスワードの生成～成功した最終ログイン ▫ Login Time 各被験者が認証成功にかかった時間 ログインの効率性を測る ▫ Remembered Passwords 実験の期間を通して、記憶できたパスワードの数 ▫ Resetの回数 被験者・条件毎
- 8. 実験の目的 • 認識と再認の有効性の背後にある理論の見直 ▫ 認識による判定は長い間､より効果的であると説明さ れてきた ▫ 再認認証メカニズムが単語認識認証より優位である • 仮説に対する答え ▫ 再認認証メカニズムが単語認識認証より優位か パスワードリセットの回数の差 ログインにかかる時間 記憶する個数
- 9. 被験者 • 大学学生に対してインターネットで募集 ▫ 若年青年が主な対象 ▫ 重大な視覚や記憶に関する障害がない 実験結果に影響を与えないため ▫ 20ドルの報酬 心理学専攻の者には2%のボーナス
- 10. 認証に利用する単語 • オグデンの国際基礎単語リストから選出 ▫ 全ての被験者にとってありきたりと思われる単語 ▫ 156単語を選出 • 実験に対して制限がある ▫ 被験者がより多くの単語を知っている ▫ この状態の探索を追加の研究になると検討
- 11. 実験環境(1) • インターネットアクセスができるPCを使用 • ネットワークは研究所、各家庭からアクセス可 • 3つの自前Webサイトで認証実験を行った • 3つのWebサイトはそれぞれパスワード認証 機能を持っている
- 12. 実験環境(2) • 研究所での環境 ▫ OS: Windows 7 ▫ Brower: Internet Explorer ▫ 被験者は自由に使うことができる • MVP認証フレームワークを使用 ▫ アカウント管理してくれるフレームワーク ▫ Webサイトで認証を自動的に行ってくれる
- 14. 手順（Phase 1） • Phase 1: 1回目のセッション ▫ 被験者の決定と説明会 • 被験者になるまでの手順 1. 決められた日時に研究所に行く 2. 実験の内容の説明を受ける 3. 実験開始の前の誓約書を書く
- 15. 手順（Phase 1） • 被験者になった後の手順 1. 統計を取るためのアンケートを行う 2. あるWebサイトのパスワードが渡され、 サインイン、サインアウトの確認を行う 3. 他の2つのWebサイトのパスワードも渡され サインイン、サインアウトの確認を行う 4. パスワードを暗記するまでサインイン、 サインアウトを繰り返す ※パスワードを紙に書き記すのは厳禁！
- 16. 手順（Phase 1） • 注意点 ▫ パスワードは各Webサイト毎に異なる ▫ 別グループの被験者も準備している 意図しない影響を排除するために
- 17. 手順（Phase 2） • Phase 2: 1回目と2回目のセッション間 ▫ 家での活動回 • Phase 2でのタスク ▫ 各家庭から3つのサイトにアクセスしログインを行う 被験者どこからでもそのサイトにアクセスできる ただし、あらゆる認証動作がサーバにログとして記録さ れる • Phase 2に起きるイベント ▫ 2通のメールが来る サイトに認証しなさいというメール サイトのコンテンツに役立つためのメール
- 18. 手順（Phase 1） • 被験者を研究所に集めることのメリット ▫ 観察の質を高めることを可能 ▫ 被験者がパスワードを覚えているかの管理が容易 • 2回目のセッションは約1週間後に開催
- 19. 手順（Phase 3） • Phase 3: 2回目のセッション(約1週間後に開催) ▫ フィードバック回 • Phase 3でのタスク 1. 研究室で3つのサイトへのログインと サイトごとの書き込み欄を入力する 2. アンケートを記入する 3. パスワード認証について 4. 実験の感想 5. 謝金をもらう