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
文成县| 濮阳市| 彰化县| 通辽市| 莲花县| 县级市| 平谷区| 凌海市| 孝昌县| 樟树市| 濮阳县| 开鲁县| 景东| 义马市| 准格尔旗| 福安市| 奈曼旗| 名山县| 周宁县| 崇仁县| 呼和浩特市| 康马县| 博爱县| 平安县| 牟定县| 漯河市| 三台县| 蒙城县| 大洼县| 通海县| 滨海县| 玉田县| 遂溪县| 苏尼特右旗| 长泰县| 台中县| 苗栗市| 四子王旗| 蒙阴县| 道孚县| 舒兰市|