The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– When using personas, the stakeholders of a project can feel empathy for the end-user. Ordinary market or user research data, as cold hard numbers [1], might lead you to narrow conclusions that could have many broad or even different meanings. […]
The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– Here we talk about how the APG system enriches a data-driven persona by adding personality to the persona, like the education level. After APG creates a base persona from a set of user data by following a unique sequential method
How APG Assigns the Education Level of a Data-Driven Persona Read More »
The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– Here we talk about how the APG system enriches a data-driven persona by adding personality characteristics to the personas,. like a job. After APG creates a base persona for a set of user data by following its unique sequential method
How APG Assigns the Job of a Data-Driven Persona Read More »
The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– Here we talk about how the APG system enriches a data-driven persona by adding personality attributes to the persona profile, like marital status. After APG creates a base persona for a set of user data by following its unique sequential
How APG Assigns the Marital Status of a Data-Driven Persona Read More »
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. This has implications for persona development when approaching the goal of generating the facial pictures for the persona profiles automatically. In research led by Joni Salminen,
Analyzing Demographic Bias in Artificially Generated Facial Pictures Read More »
Quantitative data and algorithms are becoming more common for persona creation, but it is not clear to which extent this data and opaque machine learning algorithms introduce bias at various steps of data-driven persona creation (DDPC) and/or violate user rights. In this conceptual work, led by Joni Salminen, we use Gillespie’s framework of algorithmic ethics
The Ethics of Data-Driven Personas Read More »
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, in research led by Joni Salminen, we conduct an experimental study with individuals less and more experienced with personas. Quantitative results show that previous experience increases several important perceptions, including
The Effect of Experience on Persona Perceptions Read More »
