Although deepfakes have a negative connotation in human-computer interaction (HCI) due to their risks, they also involve many opportunities, such as communicating user needs in the form of a “living, talking” deepfake persona. To scope and better understand these opportunities, we present a qualitative analysis of 46 participants’ think-aloud transcripts based on interacting with deepfake…… Continue reading How Do Users Perceive Deepfake Personas? Investigating the Deepfake User Perception and Its Implications for Human-Computer Interaction
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
Is Death Only the Beginning? How People Mourn Artificial Characters in Social Media
We analyze the audience response to the death of narrative-driven fictitious characters with predetermined fates, whether part of a virtual or cinematic story, and specifically from video games and TV series. Our aim is to contribute to the studies of identification and empathy with fictitious characters in media, as well as to close the research…… Continue reading Is Death Only the Beginning? How People Mourn Artificial Characters in Social Media
The need for data validity when using analytics
A difficulty faced by scholars and practitioners working with numbers about people is that those who study people want numerical data about these people. Unfortunately, time and time again, this numerical data about people is wrong. Addressing the potential causes of this wrongness, we present examples of analyzing people numbers, i.e., numbers derived from digital…… Continue reading The need for data validity when using analytics
Analytics in practice
Digital analytics – the collection, measurement, analysis, and reporting of online data. Organizations desire to leverage analytics to increase productivity, increase efficiency, reduce costs, and improve the audience, customer, and user experience (ACU Experience). Data-driven decision-making = making decisions based on data. See more about using analytics to make impactful data-driven decisions in our…… Continue reading Analytics in practice