OpenDoTT Current IoT Practices Dataset: ESR1 Wearables and the Self

This Directory contains data from the participatory study The Lost Manual—conducted from April to June 2020 as part of the PhD research on Wearables and the Self with the Open Design of Trusted Things (OpenDoTT) project.

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.

For further information the researcher Jens Alexander Ewald can be contacted by email: jens.a.ewald@northumbria.ac.uk

The study involved cultural probes, using found objects by participants to meet the ethical requirement during the Covid-19 pandemic.

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).

The captured data in this data set contains:

- 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- Website: An archived version of the webpage created for the recruitment under https://opendott.org/the-lost-manual

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.

After the interview with participant 1 the interview guide was changed and from thereon included in the data set.

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.