OpenDoTT Current IoT Practices Dataset: ESR1 Wearables and the Self

This Directory contains data from the participatory study <b>The Lost Manual</b>—conducted from April to June 2020 as part of the PhD research on <b>Wearables and the Self</b> with the <b>Open Design of Trusted Things (OpenDoTT)</b> project.<br><br>The study aimed to capture current beliefs and perceptions of wearable IoT using cultural probes and letting the participants imagine the purpose of a found object.<br>For further information the researcher Jens Alexander Ewald can be contacted by email: [e-mail]<br><b>The Lost Manual</b><br>The study involved cultural probes, using found objects by participants to meet the ethical requirement during the Covid-19 pandemic.<br>With each participant an initial interview and a reflection session was conducted. All participant communication was conducted as video interviews (sometimes audio only based on the internet connectivity).<br>The captured data in this data set contains:<br>- Guides: protocols for participant interviews and reflection sessions. - Participant Data containing screenshots during the video interview, chat histories between the researcher and participant, images of taken by the participants to document their activities, a printable file to re-create the Found Manuals on a standard A4 printer, transcriptions of the interview and reflection session- Sign up and Consent Form: PDF versions of online sign up and consent forms (incl. participant information sheet)- Sounds: The sound files the participants have been sent as creative triggers during the activity. Note that different sound files were used for Participant 01.- Website: An archived version of the webpage created for the recruitment under https://opendott.org/the-lost-manual<br><b>Notes</b><br>Participant 3 and 4 have dropped out of the study. Therefore these directories are missing reflection data as a reflection session has not taken place.<br>After the interview with participant 1 the interview guide was changed and from thereon included in the data set.<br><br>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813508.<br>