Regression Vs Classification model: Selecting the ultimate machine learning model

Machine learning models have more to offer than what meets the eye. It is often known for uncovering hidden patterns and relationships between variables. The machine learning models provide us with the ability to predict future actions based on the current and past data available. If anything, machine learning is a door that is used…… Continue reading Regression Vs Classification model: Selecting the ultimate machine learning model

“There’s Something About Noura”: Exploring Think-Aloud Reasonings for Users’ Persona Choice in a Design Task

Stakeholders like designers use personas to learn about users. After persona development, stakeholders are usually presented with a persona set. However, there is little research on how stakeholders select a persona from a persona set. A think-aloud analysis with 37 stakeholders asked to select a persona for a content design task reveals that persona selection…… Continue reading “There’s Something About Noura”: Exploring Think-Aloud Reasonings for Users’ Persona Choice in a Design Task

Modeling the New Modalities of Personas: How Do Users’ Attributes Influence Their Perceptions and Use of Interactive

We investigate the impact of user demographics (age, gender) and experience (with personas and chatbots) on users’ perceptions of interactive personas. A within-subjects study was conducted with 54 participants, mostly engineers and computer scientists. Each participant used interactive personas with two interfaces: a web-based profile persona and a chat persona. The findings from regression analysis…… Continue reading Modeling the New Modalities of Personas: How Do Users’ Attributes Influence Their Perceptions and Use of Interactive

Exploring Emotional Dynamics in Social Media Interactions for News Content

  Understanding people’s emotional reactions is crucial in a digital age where news spreads fast across social media. Researchers [1] ​ conducted a thorough study analyzing over 130,000 social media posts and 2.8 million comments to see how news affects people emotionally. Using Plutchik’s wheel of emotions, they sorted emotions into nine types. The researchers…… Continue reading Exploring Emotional Dynamics in Social Media Interactions for News Content

Deus Ex Machina and Personas from Large Language Models: Investigating the Composition of AI-Generated Persona Descriptions

Large language models (LLMs) can generate personas based on prompts that describe the target user group. To understand what kind of personas LLMs generate, in this research led by Joni Salminen, we investigate the diversity and bias in 450 LLM-generated personas with the help of internal evaluators (n=4) and subject-matter experts (SMEs) (n=5). The research findings…… Continue reading Deus Ex Machina and Personas from Large Language Models: Investigating the Composition of AI-Generated Persona Descriptions

How to Analyze the Engagement of Multiple LinkedIn Pages with ACUA

LinkedIn has become an important platform for businesses, professionals, and educators to connect, share insights, and engage with their audience. Analyzing the engagement of multiple LinkedIn pages is essential for understanding the effectiveness of your content strategy and identifying areas for improvement. In this blog post, we will discuss how you can use ACUA to…… Continue reading How to Analyze the Engagement of Multiple LinkedIn Pages with ACUA

News Engagement Across Social Media: the topical and sentiment effect

News outlets and other content creation organizations compete for viewership on traditional channels and increasingly compete for audience engagement across multiple social media platforms. With platforms like Facebook, Instagram, Twitter, YouTube, TikTok, Snapchat, and Reddit transforming how news is consumed, understanding the dynamics of user engagement becomes crucial. An analysis of approximately 3 million news…… Continue reading News Engagement Across Social Media: the topical and sentiment effect

Investigations into Digital Analytics

Our research team has conducted a series of studies concerning the use and effect of analytics. Some insightful findings are: Displaying or not displaying certain analytics to platform users will alter their behavior Analytics can provide insights into persona usage and interaction Analytics systems require more navigational focus compared to using personas for the same…… Continue reading Investigations into Digital Analytics

Is an organization ready for using personas?

Our research team has conducted a series of research studies examining when and how organizations can effectively use personas. Some findings are: (a) Personas for social good are primarily exploratory and focused on initial methodology development. (b) We develop and validate the Persona Readiness Scale (PRS), a survey instrument to measure organizational readiness for personas.…… Continue reading Is an organization ready for using personas?

Findings from a Series of User Studies Examining the Use of Fake Images and Videos

Our research group has conducted a series of user studies concerning the use of deepfake (i.e., AI generated) images and videos, focusing on how people perceive and react to these deepfakes in the context of personas. Findings from a series of user studies show that using artificial pictures in persona profiles did not decrease the…… Continue reading Findings from a Series of User Studies Examining the Use of Fake Images and Videos