Jim Jansen

Dr. Jansen is a Principal Scientist in the social computing group of the Qatar Computing Research Institute, and a professor with the College of Science and Engineering, Hamad bin Khalifa University, and an adjunct professor with the College of Information Sciences and Technology at The Pennsylvania State University. He is a graduate of West Point and has a Ph.D. in computer science from Texas A&M University, along with master degrees from Texas A&M (computer science) and Troy State (international relations). Dr. Jim Jansen served in the U.S. Army as an Infantry enlisted soldier and communication commissioned officer.

How Does an Imaginary Persona’s Attractiveness Affect Designers’ Perceptions and IT Solutions? An Experimental Study on Users’ Remote Working Needs

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The “what is beautiful is good” (WIBIG) effect implies that observers tend to perceive physically attractive people in a positive light. In this research, led by Joni Salminen, we investigate how the WIBIG effect applies to user personas, measuring designers’ perceptions and task performance when employing user personas for the design of information technology (IT) […]

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Personas for our forthcoming book, “Understanding Audiences, Customers, and Users via Analytics”

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For our forthcoming book, “Understanding Audiences, Customers, and Users via Analytics”, we used three personas to focus the book’s content: one designer, one professor, and one industry researcher. Mary is a senior user experience designer who wants her organization to use analytics for several major projects. She is familiar with some analytics elements but not

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Understanding Audiences, Customers, and Users via Analytics – An Introduction to the Employment of Web, Social, and Other Types of Digital People Data

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I am so excited to share the announcement of our forthcoming book with you! This book presents the foundations of using analytics from the laboratory, social media platforms, and the Web. Topics covered include analytics strategy, data gathering approaches, data preprocessing, data quality assessment, analytical methods, tools, and validation methods. Separate chapters explain Web Analytics,

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AI Personas in the Media

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Artificial intelligence (AI) personas are virtual representations of intelligent machines designed to communicate with humans.  These AI personas have become increasingly common in the media, as they offer a unique way for people to interact with AI technology, service, content, and platform.  This panel explores the concept of AI personas and their use in the

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Mixed Methods Personas: Strengths and Weaknesses

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Personas are a technique for enhanced understanding of users and customers to improve the user-centered design of systems and products. Their creation can be categorized using three persona creation methodologies: Qualitative, Quantitative, and Mixed Methods. In this post, we describe the Mixed Methods method and discuss the strengths and weaknesses of this methodology for persona

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Quantitative Personas: Strengths and Weaknesses

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Personas are a technique for enhanced understanding of users and customers to improve the user-centered design of systems and products. Their creation can be categorized using three persona creation methodologies: Qualitative, Quantitative, and Mixed Methods. In this post, we describe the Quantitative method and discuss the strengths and weaknesses of this methodology for persona development.

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Gender-Inclusive HCI

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What is Gender and Inclusive HCI Design? User-Sensitive Inclusive Design is a concept that embraces designing for marginalized groups of people and considering different types of users. This includes considering users’ gender while designing or evaluating software, websites, or other digital technology. Empirical research has shown gender differences in software and other digital technology use.

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