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User modeling

About: User modeling is a research topic. Over the lifetime, 10701 publications have been published within this topic receiving 278012 citations.


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Patent
07 Oct 2014
TL;DR: Disclosed as mentioned in this paper is an interactive, customizable, user interaction data analysis system that provides interactive and customizable visualizations and analyses provided by the system may be based on user interactions aggregated across groups of users (also referred to as cohorts of users), across particular time frames, and/or from particular software applications.
Abstract: Disclosed is an interactive, customizable, user interaction data analysis system that provides interactive, customizable, compact and information dense user interaction data analysis via a graphical user interface. This can cohort-based analysis and/or graphical visualizations of user interaction data to a system operator. User interaction data may be obtained, for example, as users interact with one or more software applications. In various embodiments, interactive and customizable visualizations and analyses provided by the system may be based on user interaction data aggregated across groups of users (also referred to as cohorts of users), across particular time frames, and/or from particular software and/or computer-based applications. According to various embodiments, the system may enable insights into, for example, user interaction patterns, the frequency of software application features accessed, the performance of various aspects of software applications, and/or crashes of software applications, among others.

135 citations

Journal ArticleDOI
TL;DR: It is argued that pre-implementation user participation can be problematic so that post-im implementation involvement will be more effective in garnering user interest and assistance.
Abstract: User participation during software projects has long been considered a prerequisite for system success, and yet these initiatives continue to be rife with troubles. This is particularly true of enterprise software such as ERP and CRM, which, in spite of its popularity, is difficult to implement and is prone to user resistance. This, then, begs the question of why these enterprise systems run into problems even with when garnering user participation. One response may be to question the importance of participation per se; a more considered response is likely to be one that emphasizes the need to more closely explore the relationship between participation and the system in use. To this end, we adopt a cross-case comparison to analyze the role of user participation during two ES projects. Through the theoretical lens of 'situated learning', we argue that pre-implementation user participation can be problematic so that post-implementation involvement will be more effective in garnering user interest and assistance.

135 citations

Patent
22 Nov 2006
TL;DR: In this paper, the authors provide system(s) and method(s), including dynamic user modeling techniques to capture the relational and dynamic patterns of information content and/or users' or entities' interests.
Abstract: The present invention is directed generally to providing systems and methods for data analysis. More specifically, embodiments may provide system(s) and method(s) including dynamic user modeling techniques to capture the relational and dynamic patterns of information content and/or users' or entities' interests. Various embodiments may include system(s) and method(s) that are based on, for example, the past history of content semantics, temporal changes, and/or user community relationship. Various embodiments may include modeling and/or analysis of the dynamic nature of an item of interest's value to a user(s)/entity(ies) over time. The dynamic factors may be consider in any manner, such as, individually or combined, sequentially or simultaneously, etc. Further, some embodiments may include, for example, system(s) and method(s) relating to analyzing data to capture user/entity interests and/or characteristics, consider content semantics and evolutionary information, and/or using community relationships of users/entities to thereby analyze information and provide dynamic conclusion(s) (e.g., recommendation(s)).

134 citations

Patent
02 Oct 2001
TL;DR: In this article, the authors proposed an approach to determine a degree to which at least one other user can influence a parameter associated with the first user, based on the received input and the determined degree of influence.
Abstract: Regulating a user of a computer-based service includes receiving input about a first user from at least one other user of the computer-based service, determining a degree to which the at least one other user can influence a parameter associated with the first user, and modifying the first user's parameter based on the received input and the determined degree of influence. The first user's parameter, for example, can relate to the first user's ability to use the computer-based service.

134 citations

Book
20 May 2015
TL;DR: A comprehensive, easy-to-read, "how-to" guide on user research methods can be found in this paper, which includes case studies from leaders in industry and academia that demonstrate each method in action.
Abstract: This new and completely updated edition is a comprehensive, easy-to-read, "how-to" guide on user research methods. You'll learn about many distinct user research methods and also pre- and post-method considerations such as recruiting, facilitating activities or moderating, negotiating with product developments teams/customers, and getting your results incorporated into the product. For each method, you'll understand how to prepare for and conduct the activity, as well as analyze and present the data - all in a practical and hands-on way. Each method presented provides different information about the users and their requirements (e.g., functional requirements, information architecture). The techniques can be used together to form a complete picture of the users' needs or they can be used separately throughout the product development lifecycle to address specific product questions. These techniques have helped product teams understand the value of user experience research by providing insight into how users behave and what they need to be successful. You will find brand new case studies from leaders in industry and academia that demonstrate each method in action. This book has something to offer whether you are new to user experience or a seasoned UX professional. After reading this book, you'll be able to choose the right user research method for your research question and conduct a user research study. Then, you will be able to apply your findings to your own products. Completely new and revised edition includes 30+% new content! Discover the foundation you need to prepare for any user research activity and ensure that the results are incorporated into your products Includes all new case studies for each method from leaders in industry and academia Table of Contents Preface Part 1: What You Need to Know Before Choosing An Activity 1. Introduction to User Experience 2. Before You Choose an Activity: Learning About Your Product and Users 3. Ethical and Legal Considerations 4. Setting Up Research Facilities 5. Choosing a User Experience Research Activity Part 2: Get Up and Running 6. Preparing For Your User Research Activity 7. During Your User Research Activity Part 3: The Methods 8. Diary Studies 9. Interviews 10. Surveys 11. Card Sorting 12. Focus Groups 13. Field Studies 14. Evaluating Methods Part 4: Wrapping Up 15. Concluding Final Part 5: Appendices Appendix A. Requirements for Creating a Participant Recruitment Database Appendix B. Report Template Appendix C. Glossary Appendix D. References Index

134 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202327
202269
2021150
2020167
2019194
2018216