2020

Analyzing Demographic Bias in Artificially Generated Facial Pictures

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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, […]

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The Ethics of Data-Driven Personas

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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

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The Effect of Experience on Persona Perceptions

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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

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