{"id":46,"date":"2022-07-28T09:16:32","date_gmt":"2022-07-28T09:16:32","guid":{"rendered":"https:\/\/metric.qcri.org\/blog\/?p=46"},"modified":"2022-07-28T09:16:33","modified_gmt":"2022-07-28T09:16:33","slug":"personas-and-analytics-a-comparative-user-study-of-efficiency-and-effectiveness-for-a-user-identification-task","status":"publish","type":"post","link":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/personas-and-analytics-a-comparative-user-study-of-efficiency-and-effectiveness-for-a-user-identification-task\/","title":{"rendered":"Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task"},"content":{"rendered":"\n<p>Personas are a well-known technique in human computer interaction. However, there is a lack of rigorous empirical research evaluating personas relative to other methods.<\/p>\n\n\n\n<p>In this 34-participant experiment, we compare a persona system and an analytics system, both using identical user data, for efficiency and effectiveness for a user identification task.<\/p>\n\n\n\n<p>Results show that personas afford faster task completion than the analytics system, as well as outperforming analytics with significantly higher user identification accuracy.<\/p>\n\n\n\n<p>Qualitative analysis of think-aloud transcripts shows that personas have other benefits regarding learnability and consistency.<\/p>\n\n\n\n<p>However, the analytics system affords insights and capabilities that personas cannot due to inherent design differences.<\/p>\n\n\n\n<p>Findings support the use of personas to learn about users, empirically confirming some of the stated benefits in the literature, while also highlighting the limitations of personas that may necessitate the use of accompanying methods.<\/p>\n\n\n\n<p>Salminen, J., Jung, S.G., Chowdhury, S. \u015eeng\u00fcn, S., and\u00a0Jansen, B. J.\u00a0(2020)\u00a0<a rel=\"noreferrer noopener\" href=\"http:\/\/www.bernardjjansen.com\/uploads\/2\/4\/1\/8\/24188166\/3313831.3376770.pdf\" target=\"_blank\">Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task<\/a>. ACM CHI Conference on Human Factors in Computing Systems (CHI&#8217;20), Honolulu, HI, USA. 25\u201330 April, 1-13.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Personas are a well-known technique in human computer interaction. However, there is a lack of rigorous empirical research evaluating personas relative to other methods. In this 34-participant experiment, we compare a persona system and an analytics system, both using identical user data, for efficiency and effectiveness for a user identification task. Results show that personas &#8230; <a title=\"Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task\" class=\"read-more\" href=\"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/personas-and-analytics-a-comparative-user-study-of-efficiency-and-effectiveness-for-a-user-identification-task\/\" aria-label=\"More on Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-46","post","type-post","status-publish","format-standard","hentry","category-user-study"],"jetpack_featured_media_url":"","jetpack-related-posts":[{"id":36,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/comparing-persona-analytics-and-social-media-analytics-for-a-user-centric-task-using-eye-tracking-and-think-aloud\/","url_meta":{"origin":46,"position":0},"title":"Comparing Persona Analytics and Social Media Analytics for a User-Centric Task Using Eye-Tracking and Think-Aloud","date":"July 28, 2022","format":false,"excerpt":"We compare a data-driven persona system and an analytics system for efficiency and effectiveness for a user identification task. Findings from the 34-participant experiment show that the data-driven persona system affords faster task completion, is easier for users to engage with, and provides better user identification accuracy. Eye-tracking data indicates\u2026","rel":"","context":"In &quot;user study&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":282,"url":"https:\/\/metric.qcri.org\/blog\/2024\/07\/04\/actionable-data-creating-personas-from-metric-data-analytics\/","url_meta":{"origin":46,"position":1},"title":"Actionable Data: Creating Personas from METRIC Data Analytics","date":"July 4, 2024","format":false,"excerpt":"Personas represent important segments\u00a0of a target audience or user base, making them indispensable tools in marketing, user experience (UX) design, product development, and education. Personas in marketing help create content and campaigns specifically tailored to various client bases' demands, preferences, and behaviors. They aid in making assessments about the user\u2026","rel":"","context":"In &quot;analytics&quot;","img":{"alt_text":"Personas are essential tools in fields such as marketing, user experience (UX) design, product development, and education, serving to represent key segments of a target audience or user base","src":"https:\/\/i0.wp.com\/metric.qcri.org\/blog\/wp-content\/uploads\/2024\/07\/Personas.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":40,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/persona-analytics-implementing-mouse-tracking-for-an-interactive-persona-system\/","url_meta":{"origin":46,"position":2},"title":"Persona Analytics: Implementing Mouse-tracking for an Interactive Persona System","date":"July 28, 2022","format":false,"excerpt":"Observing user interactions with interactive persona systems offers important insights for the design and application of such systems. Using an interactive persona system, user behavior and interaction with personas can be tracked with high precision, addressing the scarcity of behavioral persona user studies. In this research, we introduce and evaluate\u2026","rel":"","context":"In &quot;user study&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":18,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/the-ability-of-personas-an-empirical-evaluation-of-altering-incorrect-preconceptions-about-users\/","url_meta":{"origin":46,"position":3},"title":"The Ability of Personas: An Empirical Evaluation of Altering Incorrect Preconceptions About Users","date":"July 28, 2022","format":false,"excerpt":"False preconceptions about users can result in poor design, product development, and marketing decisions, so rectifying these preconceptions is essential for organizations. This research quantitatively evaluates the ability of data-driven personas to alter decision makers\u2019 preconceptions about their online social media users. We conduct a within-participant experiment of 31 professionals\u2026","rel":"","context":"In &quot;user study&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":231,"url":"https:\/\/metric.qcri.org\/blog\/2024\/06\/25\/benefits-of-metric-in-teaching-user-study-analytics\/","url_meta":{"origin":46,"position":4},"title":"Benefits of METRIC in Teaching User Study Analytics","date":"June 25, 2024","format":false,"excerpt":"Analytics Illustration [Source: ACUA] Various industries benefit from user analytic studies, both with and without knowledge. E-Commerce, logistics and transportation, hospitality, web development, real estate, healthcare, public services, and even education. Many industries need user feedback to improve their services, so implementing user analytic studies in academia benefits students. Here\u2026","rel":"","context":"In &quot;analytics&quot;","img":{"alt_text":"Benefits of METRIC in Teaching User Study Analytics","src":"https:\/\/i0.wp.com\/metric.qcri.org\/blog\/wp-content\/uploads\/2024\/06\/Screen-Shot-2024-06-13-at-5.59.38-PM.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":60,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/findings-of-a-user-study-of-automatically-generated-personas\/","url_meta":{"origin":46,"position":5},"title":"Findings of a User Study of Automatically Generated Personas","date":"July 28, 2022","format":false,"excerpt":"We report findings and implications from a seminaturalistic user study of a system for Automatic Persona Generation (APG) using large-scale audience data of an organization\u2019s social media channels conducted at the workplace of a major international corporation. Thirteen participants from a range of positions within the company engaged with the\u2026","rel":"","context":"In &quot;user study&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/46","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/comments?post=46"}],"version-history":[{"count":1,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/46\/revisions"}],"predecessor-version":[{"id":47,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/46\/revisions\/47"}],"wp:attachment":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/media?parent=46"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/categories?post=46"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/tags?post=46"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}