Proceedings of the 13th International Conference on Humans and 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
This annual international forum invites scientists, teachers, researchers and lecturers for open discussions, and presentations of their latest achievements, results of teaching experiments and findings in areas related to human-computer interaction. The University of Aizu organized and held the first conference on Humans and Computers in 1998. At the beginning of the 21st century, this conference pioneered the introduction of telecommunication technologies to organize a new type of scientific forum; the venue for the main event was connected via Internet with satellite venues located in Japan and Europe. This innovative solution made it possible for scientists to participate in the conference simultaneously from their universities. Communication technologies allowed the number of participants to increase substantially. This event offers a marvelous opportunity for the best university students to make their first scientific presentations while serving as a training ground for both Japanese and foreign students on their way to becoming scientists. The International Conference on Humans and Computers discovers the next generation of scientists. Every year, we invite world-leading researchers to present the results of their achievements. Our students have learned how to conduct research, how to prepare results, and how to present them to the public. Our special thanks are given to professors and researchers of Bournemouth University, Chaoyang University of Technology, Comenius University, Dresden University of Technology, Fraunhofer Institute for Intelligent Analysis and Information Systems, Hiroshima Institute of Technology, Hokkaido University, Instituto Antartico Argentino, Karlsruher Institut fur Technologie, Universitat Heidelberg, Kitami Institute of Technology, Ludwig-Maximilians Universitat, Novosibirsk State University, Munich University of Applied Sciences, Saint-Petersburg State Polytechnical University, Sapienza University of Rome, Shizuoka University, SUNY Fredonia, Technische Universitat Munchen, The University of Tokyo, University of Aizu, Dusseldorf University of Applied Science, University of Library Studies and Information Technology, University of Ontario Institute of Technology, University of Waterloo, V.E. Lashkaryov Institute of Semiconductor Physics of National Academy of Sciences of Ukraine for their participation in this event. Their contributions have been very helpful in making this event successful. Several years ago, we established relations with Saint-Petersburg State University and Novosibirsk State University. During the subsequent years, they have sent Russian students to attend the conference. The conference creates the necessary conditions to keep international scientific contacts at the student level. We do hope that some of students who have participated in the conference will work to maintain their cooperation in the future.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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