找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

12345
返回列表
打印 上一主題 下一主題

Titlebook: Data-Driven Personas; Bernard J. Jansen,Joni Salminen,Kathleen Guan Book 2021 Springer Nature Switzerland AG 2021

[復(fù)制鏈接]
樓主: 傳家寶
41#
發(fā)表于 2025-3-28 16:23:10 | 只看該作者
Getting Meaningful Datana information needs, which refers to stakeholders’ requests for information. We then proceed to persona information display and design, which refers to how the selected information is displayed to end-users of data-driven personas. After this, we present the primary data collection strategies for d
42#
發(fā)表于 2025-3-28 19:28:07 | 只看該作者
Creating Data-Driven Personase diversity of algorithmic approaches. We then summarize the primary challenges of data-driven persona development, pointing to the road ahead with general data-driven persona creation methods. We then demonstrate data-driven persona development with a detailed description of the Automatic Persona G
43#
發(fā)表于 2025-3-29 01:24:36 | 只看該作者
44#
發(fā)表于 2025-3-29 06:04:05 | 只看該作者
45#
發(fā)表于 2025-3-29 08:38:38 | 只看該作者
46#
發(fā)表于 2025-3-29 14:28:01 | 只看該作者
47#
發(fā)表于 2025-3-29 18:14:44 | 只看該作者
Evaluating Data-Driven Personasrly all of the evaluation content applies to other types of personas as well. We highlight the need for evaluation in both persona research and practice, and we introduce techniques for persona evaluation. We discuss what is a good persona and what elements combine to make a good persona. We then in
48#
發(fā)表于 2025-3-29 21:17:25 | 只看該作者
Selecting the Appropriate Persona Creation Methodnd Mixed-Methods approaches. However, there is a lack of literature systematically contrasting the strengths and weaknesses of these three general approaches. Here, we review the literature to map the strengths and weaknesses of these approaches. We provide insights for better creation and use of da
49#
發(fā)表于 2025-3-30 03:28:35 | 只看該作者
50#
發(fā)表于 2025-3-30 04:52:02 | 只看該作者
12345
返回列表
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-26 09:51
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
闸北区| 当阳市| 通城县| 宁海县| 马关县| 张家口市| 厦门市| 进贤县| 博湖县| 华宁县| 龙门县| 宁明县| 林州市| 寻乌县| 西丰县| 泗洪县| 锦屏县| 梅州市| 泸溪县| 沅陵县| 望奎县| 关岭| 武鸣县| 通州区| 宝山区| 德保县| 泸定县| 博客| 缙云县| 平阴县| 惠州市| 遵义市| 富宁县| 高阳县| 镇远县| 陇南市| 南丰县| 白沙| 福建省| 电白县| 综艺|