Navigation Profiles of Online Newspaper Users: A Study of NCTU Students

碩士 === 國立交通大學 === 傳播所 === 89 === Online newspapers are unlike traditional printed news not only because they represent a web-based medium, but also because their readers can process the hypertextual structure in a nonlinear, random-access manner. The purpose of this study is to inspect navigation pr...

Full description

Bibliographic Details
Main Authors: Cheng An-Shou, 鄭安授
Other Authors: Chien Chou
Format: Others
Language:zh-TW
Published: 2001
Online Access:http://ndltd.ncl.edu.tw/handle/40244050612885265844
id ndltd-TW-089NCTU0376006
record_format oai_dc
spelling ndltd-TW-089NCTU03760062016-01-29T04:28:13Z http://ndltd.ncl.edu.tw/handle/40244050612885265844 Navigation Profiles of Online Newspaper Users: A Study of NCTU Students 電子報使用者遊歷行為之描繪─以交大學生為例 Cheng An-Shou 鄭安授 碩士 國立交通大學 傳播所 89 Online newspapers are unlike traditional printed news not only because they represent a web-based medium, but also because their readers can process the hypertextual structure in a nonlinear, random-access manner. The purpose of this study is to inspect navigation profiles of online newspaper readers. Cluster analysis was used to generate online newspaper readers’ navigation patterns based on the data collected from 149 voluntary students in National Chiao Tung University. Data on participants’ navigation patterns were captured in computer log files and their self-reported affective data were collected by paper-and-pencil questionnaires. Analyses of these data revealed three different types of participants’ navigation patterns: knowledge seekers, disenchanted users, and feature explorers. “Knowledge seekers” are the earnest readers. They are object-oriented, spent more time on online newspaper than the other two groups. This group browsed the largest number of nodes, had the highest linearity and level of depth, and seldom skip over nodes. “Disenchanted users” are impatient readers. They had the least number of browsing nodes and level of depth, and spent the least amount of time on navigating online newspaper. This group also had the highest skip-over rate and nonlinearity degree. “Feature explorers” are feature-oriented readers. They had the modest performance in the amount of time spending on the online newspaper and the number of nodes browsing in news itself. This group also made the most image choices and index-screen searches. Several suggestions are made for the designers of online newspapers based on the results of this study. 1. A key word search capability would be useful for knowledge seekers who are looking for a specific piece of information. 2. An eye-catching headline and explicit links of news would be helpful for attracting disenchanted users. 3. Interactive functions and a well-organized structure would be beneficial for feature explorers to surf online newspapers. Chien Chou 周倩 2001 學位論文 ; thesis 149 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 傳播所 === 89 === Online newspapers are unlike traditional printed news not only because they represent a web-based medium, but also because their readers can process the hypertextual structure in a nonlinear, random-access manner. The purpose of this study is to inspect navigation profiles of online newspaper readers. Cluster analysis was used to generate online newspaper readers’ navigation patterns based on the data collected from 149 voluntary students in National Chiao Tung University. Data on participants’ navigation patterns were captured in computer log files and their self-reported affective data were collected by paper-and-pencil questionnaires. Analyses of these data revealed three different types of participants’ navigation patterns: knowledge seekers, disenchanted users, and feature explorers. “Knowledge seekers” are the earnest readers. They are object-oriented, spent more time on online newspaper than the other two groups. This group browsed the largest number of nodes, had the highest linearity and level of depth, and seldom skip over nodes. “Disenchanted users” are impatient readers. They had the least number of browsing nodes and level of depth, and spent the least amount of time on navigating online newspaper. This group also had the highest skip-over rate and nonlinearity degree. “Feature explorers” are feature-oriented readers. They had the modest performance in the amount of time spending on the online newspaper and the number of nodes browsing in news itself. This group also made the most image choices and index-screen searches. Several suggestions are made for the designers of online newspapers based on the results of this study. 1. A key word search capability would be useful for knowledge seekers who are looking for a specific piece of information. 2. An eye-catching headline and explicit links of news would be helpful for attracting disenchanted users. 3. Interactive functions and a well-organized structure would be beneficial for feature explorers to surf online newspapers.
author2 Chien Chou
author_facet Chien Chou
Cheng An-Shou
鄭安授
author Cheng An-Shou
鄭安授
spellingShingle Cheng An-Shou
鄭安授
Navigation Profiles of Online Newspaper Users: A Study of NCTU Students
author_sort Cheng An-Shou
title Navigation Profiles of Online Newspaper Users: A Study of NCTU Students
title_short Navigation Profiles of Online Newspaper Users: A Study of NCTU Students
title_full Navigation Profiles of Online Newspaper Users: A Study of NCTU Students
title_fullStr Navigation Profiles of Online Newspaper Users: A Study of NCTU Students
title_full_unstemmed Navigation Profiles of Online Newspaper Users: A Study of NCTU Students
title_sort navigation profiles of online newspaper users: a study of nctu students
publishDate 2001
url http://ndltd.ncl.edu.tw/handle/40244050612885265844
work_keys_str_mv AT chenganshou navigationprofilesofonlinenewspaperusersastudyofnctustudents
AT zhèngānshòu navigationprofilesofonlinenewspaperusersastudyofnctustudents
AT chenganshou diànzibàoshǐyòngzhěyóulìxíngwèizhīmiáohuìyǐjiāodàxuéshēngwèilì
AT zhèngānshòu diànzibàoshǐyòngzhěyóulìxíngwèizhīmiáohuìyǐjiāodàxuéshēngwèilì
_version_ 1718170748827205632