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関連する概念動画

Design Example: Vintage Mixing Console01:17

Design Example: Vintage Mixing Console

582
A sound engineer at a music company recently encountered a problem. The output from their newly acquired studio's vintage mixing console was too low for the requirements of modern recording equipment. To rectify this situation, the engineer decided to design an audio pre-amplifier using an operational amplifier (op-amp) to boost the signal level.
The specifications for the pre-amplifier were clear. It needed to amplify the audio signal by a factor of 10, have an input impedance above 10...
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Group Design02:01

Group Design

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The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.5K
Design Example: Managing Concrete Workability01:14

Design Example: Managing Concrete Workability

313
This example deals with managing the workability of concrete for a raft foundation project under hot weather conditions. Workability is crucial for ensuring the concrete is easy to place, compact, and finish. In this scenario, a slump test — a common method to measure the workability of fresh concrete — initially indicated low workability. This was attributed to the rapid water loss from the concrete mix, exacerbated by the high temperatures causing the course aggregates to heat up.
313
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

977
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
977
Study Design in Statistics01:15

Study Design in Statistics

10.0K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
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Factorial Design02:01

Factorial Design

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Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
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暴力介入プログラムのためのケース管理モバイルヘルスアプリの設計：混合手法を用いた人間中心設計研究

Marianna G Salvatori1, Devika Patel1,2, Adrienne Paige Baer3

  • 1The Better Lab, University of California, San Francisco, 2540 23rd Street, 4th Fl., San Francisco, CA, 94110, United States, 1 5102550453.

JMIR formative research
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まとめ
この要約は機械生成です。

この研究では、暴力生存者とその暴力防止専門家（VPP）のコミュニケーションとリソースアクセスを改善するために、人間中心設計を用いたモバイルヘルス（mHealth）アプリを開発した。このアプリは、信頼、個別化されたリソース、クライアントのエンパワーメントといった主要なテーマに対処することで、ケース管理を強化する。

キーワード:
RITE法ケース管理人間中心設計mHealthモバイルアプリモバイルヘルス携帯電話暴力防止

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科学分野:

  • デジタルヘルス介入。
  • ヒューマンコンピュータインタラクション。
  • 公衆衛生技術。

背景:

  • 病院ベースの暴力介入プログラム（VIP）は有望ですが、時間的制約と非効率的な慣行による限界に直面しています。
  • 暴力防止専門家（VPP）はケースマネージャーとして機能し、被害者を不可欠なリソースに結び付けます。
  • 既存のモバイルヘルス（mHealth）アプリは、VIPがサービスを提供する脆弱な集団向けに特別に設計されていません。

主な方法:

  • 参加型設計、低忠実度プロトタイプテスト、高忠実度プロトタイプテスト（ラピッドイテレーティブテストアンドエバリュエーション - RITE）を含むHCD方法論を採用しました。
  • 設計の反復を知らせるために、VPPとの詳細なインタビューと共同設計セッションを実施しました。
  • フィードバックを解釈し、mHealthアプリのデザインを洗練するために、帰納的質的分析を利用しました。

結論:

  • 統合されたHCDおよびRITEアプローチにより、VPPが暴力被害者を支援するためのmHealthアプリが正常に作成されました。
  • 開発されたアプリは、VPPによって特定された重要なニーズに対処し、ケース管理を強化します。
  • この方法論は、他の専門集団向けのmHealthソリューションを開発するための転用可能なモデルを提供します。