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Record W4283447012 · doi:10.1145/3501712.3529717

“There are a LOT of moral issues with biowearables” ... Teaching Design Ethics through a Critical Making Biowearable Workshop

2022· article· en· W4283447012 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInteraction Design and Children · 2022
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEngineering ethicsComputer scienceSociologyEngineering

Abstract

fetched live from OpenAlex

There has been an increasing focus on teaching youth about design ethics as part of technical literacy. Biowearables are an emerging technology in which devices worn on children's bodies are used to track, monitor and provide feedback about their biological processes. In this paper we describe an online critical making workshop designed to enable students in middle school years to develop technical literacy skills that include reflection on issues related to design ethics. We investigated if and how our workshop enabled eleven youth, aged 12-14, to reflect through processes of making their own biowearable, on potential negative impacts of biowearables on their developing senses of identity, agency, autonomy and authenticity. The workshop elements included facilitated activities using custom created biowearable-tangible kit and ethics cards. Through qualitative coding and thematic analysis of moments of reflection captured with video, chat, and design journals we gathered evidence of the feasibility of promoting critical making as a means to cultivate technical literacy in youth. Our findings suggest the potential of teaching design ethics through critical making workshops and reveal a range of ways that reflection on ethical issues can be supported during making. We interpret our empirical evidence to further explore how workshop elements supported, or failed to support, learning outcomes and generalize our interpretations to propose preliminary guidance about workshop mechanisms that might be used to support ethical reflection during making.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.107
GPT teacher head0.367
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it