How Does Personification Impact Ad Performance and Empathy? An Experiment with Online Advertising<\/a>,\u00a0International Journal of Human\u2013Computer Interaction, 37:2, 141-155, DOI: 10.1080\/10447318.2020.1809246<\/p>\n","protected":false},"excerpt":{"rendered":"This research explores the value of personas for supporting professional advertisers to design adverts for social media. We test if a personified user group (PUG), when provided to online ad designers, results in better ad performance than when using a non-personified user group (NUG) that had no face picture or name. Our experiment has 30 … 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-20","post","type-post","status-publish","format-standard","hentry","category-user-study"],"jetpack_featured_media_url":"","jetpack-related-posts":[{"id":56,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/analyzing-advertising-labels-testing-consumers-recognition-of-paid-content-online\/","url_meta":{"origin":20,"position":0},"title":"Analyzing Advertising Labels: Testing Consumers\u2019 Recognition of Paid Content Online","date":"July 28, 2022","format":false,"excerpt":"In 2014-2015, the U.S. Federal Trade Commission (FTC) commissioned a study to assess consumers\u2019 ability to recognize ads and other paid content in online search results and news\/article feeds. The co-authors designed the study, oversaw its execution, and analyzed the results, with support from FTC staff. The goals of the\u2026","rel":"","context":"In "user study"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/hello-world\/","url_meta":{"origin":20,"position":1},"title":"Can Unhappy Pictures Enhance the Effect of Personas? A User Experiment","date":"July 28, 2022","format":false,"excerpt":"There has been little research into whether a persona\u2019s picture should portray a happy or unhappy individual. We report a user experiment with 235 participants, testing the effects of happy and unhappy image styles on user perceptions, engagement, and personality traits attributed to personas using a mixed-methods analysis. Results indicate\u2026","rel":"","context":"In "user study"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/toxic-text-in-personas-an-experiment-on-user-perceptions\/","url_meta":{"origin":20,"position":2},"title":"Toxic Text in Personas: An Experiment on User Perceptions","date":"July 28, 2022","format":false,"excerpt":"When algorithms create personas from social media data, the personas can become noxious via automatically including toxic comments. To investigate how users perceive such personas, we conducted a 2 \u00d7 2 user experiment with 496 participants that showed participants toxic and non-toxic versions of data-driven personas. We found that participants\u2026","rel":"","context":"In "user study"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":38,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/picturing-it-the-effect-of-image-styles-on-user-perceptions-of-personas\/","url_meta":{"origin":20,"position":3},"title":"Picturing It!: The Effect of Image Styles on User Perceptions of Personas","date":"July 28, 2022","format":false,"excerpt":"Though photographs of real people are typically used to portray personas, there is little research into the potential advantages or disadvantages of using such images, relative to other image styles. We conducted an experiment with 149 participants, testing the effects of six different image styles on user perceptions and personality\u2026","rel":"","context":"In "user study"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":14,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/which-message-which-channel-which-customer-exploring-response-rates-in-multi-channel-marketing-using-short-form-advertising\/","url_meta":{"origin":20,"position":4},"title":"Which Message? Which Channel? Which Customer?: Exploring Response Rates in Multi-Channel Marketing Using Short Form Advertising","date":"July 28, 2022","format":false,"excerpt":"Formulating short form advertising messages with little ad content that work and choosing high-performing channels to disseminate them are persistent challenges in multichannel marketing. Drawing on the persuasive systems design model, we conducted an experiment with 33,848 actual customers of an international telecom company. In a real-life setting, we compared\u2026","rel":"","context":"In "user study"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":12,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/using-artificially-generated-pictures-in-customer-facing-systems-an-evaluation-study-with-data-driven-personas\/","url_meta":{"origin":20,"position":5},"title":"Using Artificially Generated Pictures in Customer-facing Systems: An Evaluation Study with Data-Driven Personas","date":"July 28, 2022","format":false,"excerpt":"We conduct two studies to evaluate the suitability of artificially generated facial pictures for use in a customer-facing system using data-driven personas. STUDY 1 investigates the quality of a sample of 1,000 artificially generated facial pictures. Obtaining 6,812 crowd judgments, we find that 90% of the images are rated medium\u2026","rel":"","context":"In "user study"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/20","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=20"}],"version-history":[{"count":1,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/20\/revisions"}],"predecessor-version":[{"id":21,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/20\/revisions\/21"}],"wp:attachment":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/media?parent=20"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/categories?post=20"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/tags?post=20"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}