Honorable Mention
While data are the backbone for home Internet of Things’ (IoT) functional and economic model, data remain elusive and abstract for home dwellers. In response, we present the Odd Interpreters (OIs): a collection of three artifacts that materialize alternative ways of engaging with IoT data in home environments. The OIs recast home data as imaginative sounds (Broadcast), fading fabric (Soft Fading), and cookie recipes (Data Bakery) with the intent to reveal the hidden human labor and material infrastructures of data and to critique data’s assumed objectivity. Following a Research-through-Design approach, we unpack design events that mark our process for making the Odd Interpreters. We conclude with a discussion around the need for pluralizing data encounters, the tactic of designing between illusion and precision, and a reflection on living with the prototypes while designing.
https://doi.org/10.1145/3544548.3581323
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)