Unselfconscious interaction: a conceptual construct. Interacting with Computers
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.
Bibliographic record
Abstract
In this article we present unselfconscious interaction, a conceptual construct that describes aform of interaction with computational artifacts animated by incremental intersections thatlead to improvements in the relationships among artifacts, environments, and people. Wedraw on Christopher Alexander’s (1964) notion of goodness of fit and unselfconscious culture,and utilize Stolterman and Wiberg’s (2010) concept-driven interaction research to analyzethree interaction design concept artifacts to develop our construct for human-computerinteraction. The concept artifacts include the Discovery-Driven Prototypes (Lim et al., 2013),the Indoor Weather Stations (Gaver et al., 2013), and our own table-non-table. The resultingconstruct is comprised of the motivation of goodness of fit that is supported by two designqualities we name open-endedness and lived-with. We also describe tensions within theconstruct and the notion of purposeful purposeless in design. Our contribution in this articlelies in the articulation of the construct of unselfconscious interaction.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it