An End User Development Approach for Mobile Web Augmentation

Author:

Bosetti Gabriela1ORCID,Firmenich Sergio12,Gordillo Silvia E.13,Rossi Gustavo12ORCID,Winckler Marco4

Affiliation:

1. LIFIA, Facultad de Informática, UNLP, La Plata, Argentina

2. Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina

3. Comisión de Investigaciones Científicas, Buenos Aires, Argentina

4. ICS-IRIT, University of Toulouse 3, Toulouse, France

Abstract

The trend towards mobile devices usage has made it possible for the Web to be conceived not only as an information space but also as a ubiquitous platform where users perform all kinds of tasks. In some cases, users access the Web with native mobile applications developed for well-known sites, such as, LinkedIn, Facebook, and Twitter. These native applications might offer further (e.g., location-based) functionalities to their users in comparison with their corresponding Web sites because they were developed with mobile features in mind. However, many Web applications have no native counterpart and users access them using a mobile Web browser. Although the access to context information is not a complex issue nowadays, not all Web applications adapt themselves according to it or diversely improve the user experience by listening to a wide range of sensors. At some point, users might want to add mobile features to these Web sites, even if those features were not originally supported. In this paper, we present a novel approach to allow end users to augment their preferred Web sites with mobile features.We support our claims by presenting a framework for mobile Web augmentation, an authoring tool, and an evaluation with 21 end users.

Funder

STIC-AMSUD

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A visual programming tool for mobile web augmentation;Knowledge and Information Systems;2024-05-23

2. ANDES: An approach to embed search services on the Web browser;Computer Standards & Interfaces;2022-08

3. MAWA: A Browser Extension for Mobile Web Augmentation;Human-Computer Interaction – INTERACT 2021;2021

4. Integrating Mobile Multimodal Interactions based on Programming By Demonstration​;International Journal of Human–Computer Interaction;2020-10-30

5. Engaging end-user driven recommender systems: personalization through web augmentation;Multimedia Tools and Applications;2020-10-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3