{"id":264,"date":"2024-06-27T19:43:01","date_gmt":"2024-06-27T19:43:01","guid":{"rendered":"https:\/\/metric.qcri.org\/blog\/?p=264"},"modified":"2024-07-02T18:19:31","modified_gmt":"2024-07-02T18:19:31","slug":"picturing-the-fictitious-person-user-perceptions-of-ai-generated-personas","status":"publish","type":"post","link":"https:\/\/metric.qcri.org\/blog\/2024\/06\/27\/picturing-the-fictitious-person-user-perceptions-of-ai-generated-personas\/","title":{"rendered":"Picturing the Fictitious Person: User Perceptions of AI-generated Personas"},"content":{"rendered":"\n

Artificial intelligence has increasingly been leveraged to create personas in recent years, with tools like DALL-E and Midjourney generating detailed textual and visual representations. However, a recent study, Picturing the Fictitious Person: An Exploratory Study on the Effect of Images on User Perceptions of AI-generated Personas<\/a>, has provided intriguing insights into the relative importance of textual content versus images in shaping user perceptions of these AI-generated personas.<\/p>\n\n\n\n

\n
\"AI
AI Generated image of the QCRI Building [Source: OpenArt]<\/figcaption><\/figure>\n\n\n\n
\"\"
Actual image of the QCRI Building [Source: HBKU Website] <\/figcaption><\/figure>\n<\/figure>\n\n\n\n

The study’s primary objective was to determine whether the inclusion of images in AI-generated personas significantly influences user perceptions compared to personas without images. Surprisingly, the findings revealed that images, even when generated by advanced AI models, did not significantly impact user perceptions. Instead, textual content was identified as the primary driver of user evaluations. This suggests that the language, tone, and information embedded in the persona\u2019s description are critical factors influencing how users perceive and interact with these digital entities.<\/p>\n\n\n\n

The research highlighted several key aspects of persona-specific differences. Distinct personas, characterized by their unique content, elicited varying perceptions across multiple attributes. This finding underscores the importance of crafting persona content tailored to specific user needs and objectives. It emphasizes the necessity for persona creators to focus on the quality and accuracy of textual descriptions, ensuring they resonate well with the target audience.<\/p>\n\n\n\n

Additionally, the study emphasized the impact of participants’ familiarity with personas on their perceptions. Those with prior knowledge or experience using personas exhibited more favorable perceptions, particularly in clarity, consistency, credibility, similarity, usability, and willingness to use (WTU). This highlights the importance of educating end users about personas and their applications, potentially through training sessions, workshops, or introductory briefings. Incorporating persona education strategies into design projects can enhance user engagement and satisfaction.<\/p>\n\n\n\n

The research provides several practical implications for persona designers and highlights the importance of pilot testing personas before deployment. While images can enhance visual appeal, they should be viewed as complementary rather than pivotal elements. METRIC is one such tool that can be used for these pilot tests. By using eye tracking, persona designers can gain insights into which aspects of the AI design capture a user\u2019s attention. An additional follow-up survey of the experience can grant them insights into exactly how the user felt about the designs (if the user found them disturbing, confusing, helpful, or which elements of the design triggered any of these emotions).<\/p>\n\n\n\n

The study’s findings advocate for a strategic focus on textual content in AI-generated personas while recognizing the nuanced role of images and demographic factors. Persona designers can create more effective and user-centric digital representations by engaging end users in the evaluation process and incorporating educational strategies.<\/p>\n\n\n\n

Try out METRIC<\/a> now!<\/p>\n\n\n\n

Read more research about the study below!<\/strong><\/p>\n\n\n\n

Salminen, J., Santos, J. M., Jung, S.G., and Jansen, B. J.<\/strong> (2024) Picturing the fictitious person: An exploratory study on the effect of images on user perceptions of AI-generated personas<\/a>, Computers in Human Behavior: Artificial Humans,<\/strong> 100052. https:\/\/doi.org\/10.1016\/j.chbah.2024.100052<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Artificial intelligence has increasingly been leveraged to create personas in recent years, with tools like DALL-E and Midjourney generating detailed textual and visual representations. However, a recent study, Picturing the Fictitious Person: An Exploratory Study on the Effect of Images on User Perceptions of AI-generated Personas, has provided intriguing insights into the relative importance of … Read more<\/a><\/p>\n","protected":false},"author":10,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[25,4,9],"class_list":["post-264","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-user-experience","tag-user-study","tag-users"],"jetpack_featured_media_url":"","jetpack-related-posts":[{"id":48,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/the-effect-of-numerical-and-textual-information-on-visual-engagement-and-perceptions-of-ai-driven-persona-interfaces\/","url_meta":{"origin":264,"position":0},"title":"The Effect of Numerical and Textual Information on Visual Engagement and Perceptions of AI-Driven Persona Interfaces","date":"July 28, 2022","format":false,"excerpt":"In an experiment, we present 38 marketing and data analysts professionals with two online AI-driven persona interfaces, one using numbers and the other using text. We employ eye tracking, think-aloud, and a post-engagement survey for data collection to measure perception and visual engagement with the personas along 7 constructs. Results\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":264,"position":1},"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":1,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/hello-world\/","url_meta":{"origin":264,"position":2},"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":44,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/the-effect-of-experience-on-persona-perceptions\/","url_meta":{"origin":264,"position":3},"title":"The Effect of Experience on Persona Perceptions","date":"July 28, 2022","format":false,"excerpt":"User perceptions of personas affect the adoption of personas for decision-making in real organizations. To investigate how experience affects the way an individual perceives a persona, we conduct an experimental study with individuals less and more experienced with personas. Quantitative results show that previous experience increases several important perceptions, including\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":264,"position":4},"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":50,"url":"https:\/\/metric.qcri.org\/blog\/2022\/07\/28\/the-effect-of-smiling-pictures-on-perceptions-of-personas-user-modelling\/","url_meta":{"origin":264,"position":5},"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 "user study"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/264","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\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/comments?post=264"}],"version-history":[{"count":4,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/264\/revisions"}],"predecessor-version":[{"id":273,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/264\/revisions\/273"}],"wp:attachment":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/media?parent=264"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/categories?post=264"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/tags?post=264"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}