Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
Data-Driven Personas by This book traces the techniques that have enabled the development of data-driven personas and how they can be leveraged as tools for empathizing and understanding users. Data-driven personas are a significant advancement in the fields of human-centered informatics and human-computer interaction. Data-driven personas enhance user understanding by combining the empathy inherent with personas with the rationality inherent in analytics using computational methods. Via the employment of these computational methods, the data-driven persona method permits the use of large-scale user data, which is a novel advancement in persona creation. A common approach for increasing stakeholder engagement about audiences, customers, or users, persona creation remained relatively unchanged for several decades. However, the availability of digital user data, data science algorithms, and easy access to analytics platforms provide avenues and opportunities to enhance personas from often sketchy representations of user segments to precise, actionable, interactive decision-making tools--data-driven personas! Using the data-driven approach, the persona profile can serve as an interface to a fully functional analytics system that can present user representation at various levels of information granularity for more task-aligned user insights. Presenting a conceptual framework consisting of (a) persona benefits, (b) analytics benefits, and (c) decision-making outcomes, we illustrate applying this framework via practical use cases in areas of system design, digital marketing, and content creation to demonstrate the application of data-driven personas in practical applied situations. We then present an overview of a fully functional data-driven persona system as an example of multi-level information aggregation needed for decision making about users. We demonstrate that data-driven personas systems can provide critical, empathetic, and user-understanding functionalities for anyone needing such insights.
Publication Date: 2021-02-05
Mobile Search Behaviors by With the rapid development of mobile Internet and smart personal devices in recent years, mobile search has gradually emerged as a key method with which users seek online information. In addition, cross-device search also has been regarded recently as an important research topic. As more mobile applications (APPs) integrate search functions, a user's mobile search behavior on different APPs becomes more significant. This book provides a systematic review of current mobile search analysis and studies user mobile search behavior from several perspectives, including mobile search context, APP usage, and different devices. Two different user experiments to collect user behavior data were conducted. Then, through the data from user mobile phone usage logs in natural settings, we analyze the mobile search strategies employed and offer a context-based mobile search task collection, which then can be used to evaluate the mobile search engine. In addition, we combine mobile search with APP usage to give more in-depth analysis, such as APP transition in mobile search and follow-up actions triggered by mobile search. The study, combining the mobile search with APP usage, can contribute to the interaction design of APPs, such as the search recommendation and APP recommendation. Addressing the phenomenon of users owning more smart devices today than ever before, we focus on user cross device search behavior. We model the information preparation behavior and information resumption behavior in cross-device search and evaluate the search performance in cross-device search. Research on mobile search behaviors across different devices can help to understand online user information behavior comprehensively and help users resume their search tasks on different devices.
Publication Date: 2018-03-19
Resources to Explore
ACM Digital Library
Conference proceedings, articles, books, reports, videos, and other publications from the Association for Computing Machinery (ACM). Searches can be expanded to include non-ACM resources.
Books covering a wide range of subjects, from many publishers
Access expires December 31, 2021.
Journals and conference proceedings related to educational technology published by the Association for the Advancement of Computing in Education (AACE).
Index and abstracts to articles, books, and papers in many areas of education; includes some full text and retrospective indexing back to the 1930s.
Allows users to search Inspec, Compendex, GEOBASE, and GeoRef, simultaneously or alone. Covers the fields of physics, electronics, computing, control engineering and information technology and includes journal articles, conference proceedings, patents, and dissertations from 1898 to present.
Human Computer Interaction Series
The Human-Computer Interaction Series, launched in 2004, publishes books that advance the science and technology of developing systems which are effective and satisfying for people in a wide variety of contexts. Titles focus on theoretical perspectives (such as formal approaches drawn from a variety of behavioural sciences), practical approaches (such as techniques for effectively integrating user needs in system development), and social issues (such as the determinants of utility, usability and acceptability).
Information covering many fields of engineering, providing details about material properties, process and design, best practices, equations and formulations.
Lecture Notes in Computer Science
The series Lecture Notes in Computer Science (LNCS), including its subseries Lecture Notes in Artificial Intelligence (LNAI) and Lecture Notes in Bioinformatics (LNBI), has established itself as a medium for the publication of new developments in computer science and information technology research and teaching - quickly, informally, and at a high level.
Library, Information Science & Technology Abstracts
Index and abstracts to journal articles, books, research reports, and proceedings covering libraries, information science, technology, information management, and more.
Databases covering a broad range of subject areas including business, economics, education, humanities, literature, news, social sciences, science and technology and more.
ProQuest Dissertations & Theses Global
Index to dissertations and theses from around the world rom 1743 to the present day and with full text for many primarily from 1997.
Index to literature in psychology, and related fields, such as psychiatry, sociology, anthropology, education, pharmacology, child and family studies, marriage and family therapy, gerontology, and linguistics; published by the American Psychological Association.
Abstracts and citations of journals, books, conference proceedings, and patents covering science, technology, medicine, social sciences, and arts and humanities.
Users are required to authenticate with NetID and password.
Books and videos covering business, engineering, information technology, well-being and more.
Synthesis Digital Library of Engineering and Computer Science
Information about research in engineering and computer science, organized by lectures disciplines and series.
Web of Science
Abstract and citation database covering numerous fields in arts, humanities, social sciences and sciences. Includes access to Arts and Humanities Citation Index, Biosis Citation Index, Book Citation Index, Current Contents Connect, Data Citation Index, Derwent Innovations Index, Essential Science Indicators, Index Chemicus / KCI Korean Journal Database, MEDLINE, Russian Citation Index, Current Chemical Reactions, Social Sciences Citation Index, SciELO Citation Index, Science Citation Index, Zoological Record.
Librarian for the iSchool: Brenna
Interest Groups, Conferences and Professional Organizations
ACM Special Interest Group on Human Computer Interaction