{"id":12,"date":"2022-07-28T08:32:03","date_gmt":"2022-07-28T08:32:03","guid":{"rendered":"https:\/\/metric.qcri.org\/blog\/?p=12"},"modified":"2022-07-28T08:32:04","modified_gmt":"2022-07-28T08:32:04","slug":"using-artificially-generated-pictures-in-customer-facing-systems-an-evaluation-study-with-data-driven-personas","status":"publish","type":"post","link":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/using-artificially-generated-pictures-in-customer-facing-systems-an-evaluation-study-with-data-driven-personas\/","title":{"rendered":"Using Artificially Generated Pictures in Customer-facing Systems: An Evaluation Study with Data-Driven Personas"},"content":{"rendered":"\n<p>We conduct two studies to evaluate the suitability of artificially generated facial pictures for use in a customer-facing system using data-driven personas. <\/p>\n\n\n\n<p>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 quality or better. <\/p>\n\n\n\n<p>STUDY 2 examines the application of artificially generated facial pictures in data-driven personas using an experimental setting where the high-quality pictures are implemented in persona profiles. <\/p>\n\n\n\n<p>Based on 496 participants using 4 persona treatments (2\u2009\u00d7\u20092 research design), findings of Bayesian analysis show that using the artificial pictures in persona profiles did not decrease the scores for Authenticity, Clarity, Empathy, and Willingness to Use of the data-driven personas.<\/p>\n\n\n\n<p>Salminen, J., Jung, S.G., Kamel, A. M., Santos, J. M., Kwak, H., An, J., and\u00a0Jansen, B. J.\u00a0(2022)\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/0144929X.2020.1838610\" target=\"_blank\">Using Artificially Generated Pictures in Customer-facing Systems: An Evaluation Study with Data-Driven Personas<\/a>.\u00a0Behaviour &amp; Information Technology.\u00a041:5,\u00a0905-921.\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/0144929X.2020.1838610\" target=\"_blank\">DOI:10.1080\/0144929X.2020.1838610<\/a>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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 quality or better. STUDY 2 &#8230; <a title=\"Using Artificially Generated Pictures in Customer-facing Systems: An Evaluation Study with Data-Driven Personas\" class=\"read-more\" href=\"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/using-artificially-generated-pictures-in-customer-facing-systems-an-evaluation-study-with-data-driven-personas\/\" aria-label=\"More on Using Artificially Generated Pictures in Customer-facing Systems: An Evaluation Study with Data-Driven Personas\">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-12","post","type-post","status-publish","format-standard","hentry","category-user-study"],"jetpack_featured_media_url":"","jetpack-related-posts":[{"id":42,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/analyzing-demographic-bias-in-artificially-generated-facial-pictures\/","url_meta":{"origin":12,"position":0},"title":"Analyzing Demographic Bias in Artificially Generated Facial Pictures","date":"July 28, 2022","format":false,"excerpt":"Artificial generation of facial images is increasingly popular, with machine learning achieving photo-realistic results. Yet, there is a concern that the generated images might not fairly represent all demographic groups. We use a state-of-the-art method to generate 10,000 facial images and find that the generated images are skewed towards young\u2026","rel":"","context":"In &quot;user study&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":60,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/findings-of-a-user-study-of-automatically-generated-personas\/","url_meta":{"origin":12,"position":1},"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":[]},{"id":50,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/the-effect-of-smiling-pictures-on-perceptions-of-personas-user-modelling\/","url_meta":{"origin":12,"position":2},"title":"The Effect of Smiling Pictures on Perceptions of Personas. User Modelling","date":"July 28, 2022","format":false,"excerpt":"We analyze the effect of a smile in personas pictures on persona perceptions, including credibility, likability, similarity, and willingness to use. We conduct an online experiment with 2,400 participants using a 16-item survey and multiple persona profile treatments of which half have a smiling photo and half do not. We\u2026","rel":"","context":"In &quot;user study&quot;","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":12,"position":3},"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 &quot;user study&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":24,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/persona-transparency-analyzing-the-impact-of-explanations-on-perceptions-of-data-driven-personas\/","url_meta":{"origin":12,"position":4},"title":"Persona Transparency: Analyzing the Impact of Explanations on Perceptions of Data-Driven Personas","date":"July 28, 2022","format":false,"excerpt":"Computational techniques are becoming more common in persona development. However, users of personas may question the information in persona profiles because they are unsure of how it was created. This problem is especially vexing for data-driven personas because their creation is an opaque algorithmic process. In this research, we analyze\u2026","rel":"","context":"In &quot;user study&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":26,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/does-a-smile-matter-if-the-person-is-not-real-the-effect-of-a-smile-and-stock-photos-on-persona-perceptions\/","url_meta":{"origin":12,"position":5},"title":"Does a Smile Matter if the Person Is Not Real?: The Effect of a Smile and Stock Photos on Persona Perceptions","date":"July 28, 2022","format":false,"excerpt":"We analyze the effect of using smiling\/non-smiling and stock photo\/non-stock photo pictures in persona profiles on four key persona perceptions, including credibility, likability, similarity, and willingness to use. For this, we collect data from an experiment with 2,400 participants using a 16-item survey instrument and multiple persona profile treatments of\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\/12","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=12"}],"version-history":[{"count":1,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/12\/revisions"}],"predecessor-version":[{"id":13,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/12\/revisions\/13"}],"wp:attachment":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/media?parent=12"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/categories?post=12"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/tags?post=12"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}