Prix “Honorable Mention award” ACM SIG CHI 2017

Des chercheurs SES Télécom Paris Tech récompensés lors de la conférence ACM Computer Human Interaction 2017

Le papier de Nadia Boukhelifa, Marc-Emmanuel Perrin, Samuel Huron et James Eagan, “How Domain Experts Analyse Uncertain Data: A Task Characterisation Study”, a reçu le prix “Honorable Mention award” qui est réservé au 5% des meilleurs publication de la conférence ACM SIG CHI 2017.

Le résumé de l’article est ci-dessous :

Uncertainty plays an important and complex role in data analysis and affects many domains. To understand how domain experts analyse data under uncertainty and the tasks they engage in, we conducted a qualitative user study with 12 participants from a variety of domains. We collected data from audio and video recordings of think-aloud demo sessions and semi-structured interviews. We found that analysts sometimes ignore known uncertainties in their data, but only when these are not relevant to their tasks. More often however, they deploy various coping strategies, aiming to understand, minimise or exploit the uncertainty. Within these coping strategies, we identified five high level tasks that appear to be common amongst all of our participants. We believe our findings and further analysis of this data will yield concrete design guidelines for uncertainty-aware visual analytics.

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