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Results: the percentage of NERs The percentage of NERs(%) 30 20 * ** 10 0 Q-e Q-f Q-g Q-h Question Group-FIRST Group-LAST N=979, *: p < 0.05, **: p < 0.01 • The number of NERs was lower in...

A Basic Study to Prevent Non-Earnest Responses in Web Surveys by Arranging the Order of Open-ended Questionsの#P16

Results: the percentage of NERs The percentage of NERs(%) 30 20 * ** 10 0 Q-e Q-f Q-g Q-h Question Group-FIRST Group-LAST N=979, *: p < 0.05, **: p < 0.01 • The number of NERs was lower in...

A Basic Study to Prevent Non-Earnest Responses in Web Surveys by Arranging the Order of Open-ended Questionsの#P17

Results: the percentage of NERs The percentage of NERs(%) 30 20 * ** 10 0 Q-e Q-f Q-g Q-h Question Group-FIRST Group-LAST N=979, *: p < 0.05, **: p < 0.01 • The number of NERs was lower in...

A Basic Study to Prevent Non-Earnest Responses in Web Surveys by Arranging the Order of Open-ended Questionsの#P18

Results: the percentage of NERs The percentage of NERs(%) 30 20 * ** 10 0 Q-e Q-f Q-g Q-h Question Group-FIRST Group-LAST N=979, *: p < 0.05, **: p < 0.01 • The number of NERs was lower in...

A Basic Study to Prevent Non-Earnest Responses in Web Surveys by Arranging the Order of Open-ended Questionsの#P19

Results: the percentage of NERs The percentage of NERs(%) 30 20 * ** 10 0 Q-e Q-f Q-g Q-h Question Group-FIRST Group-LAST N=979, *: p < 0.05, **: p < 0.01 • The number of NERs was lower in...

A Basic Study to Prevent Non-Earnest Responses in Web Surveys by Arranging the Order of Open-ended Questionsの#P20

Results: the withdrawal rate 40 Withdrawal rate (%) 35 30 25 20 15 10 5 0 Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Group-FIRST Group-LAST Question number • Group-FIRST...

A Basic Study to Prevent Non-Earnest Responses in Web Surveys by Arranging the Order of Open-ended Questionsの#P21

Discussion • The percentage of NERs was lower in Group-FIRST. • Many people who left the Group-FIRST found to have left the Group-FIRST in the open-ended questions. Possibility of exclusion • People...

A Basic Study to Prevent Non-Earnest Responses in Web Surveys by Arranging the Order of Open-ended Questionsの#P22

Does the Average Color Influence Selection? Yuto Sekiguchi Riho Ueki, Kouta Yokoyama, Satoshi Nakamura 1

Does the Average Color Influence Selection?の#P1

of the sky is shown in Fig. 2. The counting rates show an altitude dependence on both the ascending are These the of and flight. descending portions 1962年、ジャコーニ、ロッシらが、ロケット実験で thre...

JAXAアカデミーオンライン「光であそぼ。色で考える天文学」の#P21

Does the Type of Font Face Induce the Selection? Riho Ueki, Meiji University Kouta Yokoyama, Satoshi Nakamura Meiji University HCII 2023, July 28th

Does the Type of Font Face Induce the Selection?の#P1

Changing the Editor's Perspective Rotation: Drag area other than the object Scaling: Mouse scrolling

Getting Started With WebAR Creation With ZapWorks Designerの#P36

Check the List of Projects Click

Getting Started With WebAR Creation With ZapWorks Designerの#P69

Check the List of Projects The project created this time is displayed.

Getting Started With WebAR Creation With ZapWorks Designerの#P70

Check the List of Projects Number of remaining contents you can create for free (up to 5 free contents in total)

Getting Started With WebAR Creation With ZapWorks Designerの#P71

Check the List of Projects Click here to create new content.

Getting Started With WebAR Creation With ZapWorks Designerの#P72

Check the List of Projects Click here to delete a Project Delete

Getting Started With WebAR Creation With ZapWorks Designerの#P73

Reviewing the Kanji の学習管理機能漢字をフラッシュカードとして登録し学習状況やテストの回数をグラフ化

漢字学習サイトにはどんなものがある？の#P22

Defining the spoilers • Why defining Spoilers? ➢ Previous spoiler studies had imprecise and deficient spoilers. • Spoilers on short stories [Leavitt et al. , 2011] ➢ They only use punchlines as spo...

A method to construct comics spoiler dataset and the analysis of comics spoilersの#P10

Defining the spoilers Readers reading Spoilers Presented 91 Volumes 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems Athens, Greece, 06-08 Septembe...

A method to construct comics spoiler dataset and the analysis of comics spoilersの#P11

Defining the spoilers Readers reading Spoilers Presented 91 Volumes Readers do not notice spoilers since the place where they are reading and where the spoiler is presented are too far apart. 27th...

A method to construct comics spoiler dataset and the analysis of comics spoilersの#P12

Defining the spoilers Readers reading Spoilers Presented 9 Volumes 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems Athens, Greece, 06-08 September...

A method to construct comics spoiler dataset and the analysis of comics spoilersの#P13

Defining the spoilers Readers reading Spoilers Presented 9 Volumes Where readers are reading and spoiler is presented are close to each other, so they perceive it as a spoiler and feel unpleasant 2...

A method to construct comics spoiler dataset and the analysis of comics spoilersの#P14

参考文献 The Onsager Algebra, Caroline El-Chaar, 2012 Generalized Onsager Algebras, Jasper V. Stokman, 2019 43/43 宇佐見公輔 Onsager 代数とその周辺

Onsager代数とその周辺の#P43

Above the fold Point Section & CTA

ブロックパターンを使って、デモサイトやLPを作ってみた話の#P8