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?

Bridging Hard and Soft Logic: The Emergence of Data-Driven, Algorithmically-Created Personas

With user experience (UX) research and market analysis, the development of data-driven, algorithmically-created personas stands at the forefront, marking a significant leap in understanding diverse population segments. These algorithmically-created personas, crafted through a synergy of big data, machine learning (ML), and artificial intelligence (AI), are revolutionizing our approach to understanding audiences, customers, and users by…… Continue reading Bridging Hard and Soft Logic: The Emergence of Data-Driven, Algorithmically-Created Personas

Designing With Multiple Personas in Mind: Multi-Persona Design for Large Target Populations

There is a need for personas usage to shift from focusing on one persona at a time to Multi-Persona Design. In the context of global design and development using personas, the traditional approach of utilizing a limited set of personas, often 10 or fewer, is a widely accepted guideline. This ‘small persona’ mindset assumes a…… Continue reading Designing With Multiple Personas in Mind: Multi-Persona Design for Large Target Populations

What Information to Include in a Persona Profile?

Algorithmically generated personas have emerged as quintessential tools for understanding audiences, customers, and users, bridging data analytics and human-centric experiences. These algorithmically-generated personas (APGs) are at the intersection of user experience research, marketing strategies, and product development, and APGs are realistically crafted identities that mirror the varied facets of a target audience, customer, or user…… Continue reading What Information to Include in a Persona Profile?

Leveraging Personas for Social Impact: A Review of Their Applications to Social Good in Design

Personas inform design by representing diverse user needs. Since their initial application in commercial technology contexts, personas have been adopted in several research domains for the public good, such as health, accessibility, politics, civic society, education, sustainability, cybersecurity, and criminology. In this review paper, we analyzed 58 research studies that created personas in these domains,…… Continue reading Leveraging Personas for Social Impact: A Review of Their Applications to Social Good in Design

StoryOptimizer – Leveraging AI for better cross platform social media content creation

If your organization does cross-platform posting (i.e., posts the same or similar content on multiple social media platforms). As part of our Acua system, we’ve developed a feature that takes a generic post and automatically optimizes it for 6 social media platforms. See below. We have already tested the feature in a 900-person user study,…… Continue reading StoryOptimizer – Leveraging AI for better cross platform social media content creation

SegmentSizeEstimator estimates the segment size based on language, country, gender, age-range, and topical interest

SegmentSizeEstimator estimates the segment size based on language, country, gender, age range, and topical interest. Moreover, it finds the most likable topical interest based on the given story and provides related segment sizes. This is powered by Facebook Ads API and (if available) Twitter Ads API. Give it a try! SegmentSizeEstimator Read more! Jansen, B.…… Continue reading SegmentSizeEstimator estimates the segment size based on language, country, gender, age-range, and topical interest

Text2Toxicity predicts a text’s toxicity

Text2Toxicity predicts a text’s toxicity. The tool is based on the machine learning classifier reported in the research article mentioned below. Give it a try! Text2Toxicity Salminen, J., Hopf, M., Chowdhury, S. A., Jung, S., Almerekhi, H., & Jansen, B. J. (2020). Developing an online hate classifier for multiple social media platforms. Human-Centric Computing and Information Sciences,…… Continue reading Text2Toxicity predicts a text’s toxicity

GAN2Name provides the most likely names for the given demographic

GAN2Name provides the most likely names for the given demographic. “GAN” comes from Gender, Age, and Nationality. Give it a try! GAN2Name Read more! ​Jung, S.G., Salminen, J., and Jansen, B. J. (2021) All About the Name: Assigning Demographically Appropriate Names to Data-Driven Entities. 54th Annual Hawaii International Conference on System Sciences (HICSS 2021) Koloa, Hawaii, United States. 5-8…… Continue reading GAN2Name provides the most likely names for the given demographic

Name2GAN Predict a name’s most likely demographics

Name2GAN is a service of Acua used to predict a name’s most likely demographics. “GAN” comes from Gender, Age, Nationality. Give it a try! Name2GAN ​Read more about the service! Jung, S.G., Salminen, J., and Jansen, B. J. (2021) All About the Name: Assigning Demographically Appropriate Names to Data-Driven Entities. 54th Annual Hawaii International Conference on System…… Continue reading Name2GAN Predict a name’s most likely demographics