Second Symposium on the Personal Web
Bibliographic record
Abstract
The goal of the second symposium on Personal Web was to provide a report on further work accomplished aiming towards establishing a new milestone in the evolution of the web. This is a radical change from a fixed, manual, drive-by-click to a malleable, context-aware personal assistant web. This second symposium follows the previous symposium about personal that was hosted by CASCON 2010. The symposium began with a review of Personal Web vision, discussions about the architecture of the Personal Web as well as the way in which Personal Web will change human-computer interaction. Past attempts at making the Web more user-centered, including mashups and scripting, were also noted. The scope for innovative interaction paradigms was also discussed, along with the potential impact that Personal Web may have on the discipline of human-computer interaction. Participants in this second symposium continued to explore the nature of Personal Web as an extension of the current that promotes users from their current state of web workers into web supervisors. This means a much reduced cognitive and working memory load while using the to accomplish goals. Papers presented for the symposium discussed the types of smarter interaction and smarter services (Chignell et al, 2010) that are required to enable Personal Web. Other enabling functions mentioned included associated semantic tools that will allow users of Personal Web to operate in units of intentions, as well as progressing by tasks instead of operating in terms of URLs and logon forms. Also reviewed was the role of predictive analytics for supportive decision making within the context of Personal Web. The presentations examined the role of semantics in Personal Web from a variety of perspectives. Participants at this symposium discussed how to extend the to function as a transparent, integrated, instrumented, intelligent and social system in order to assist individual users with tasks and attend to matters of concern. As part of this discussion some of the presentations considered the supporting technologies required to implicitly discover, gather, aggregate, deliver and recommend data, resources and services from across the web. These integrated elements are able to support the user's own situation and needs. Another key area discussed was the relationship of Personal Web to social media and the users' social milieu, such as sharing discoveries, interactions and states automatically with other members of their social circle. This symposium covered requirements and methodologies for a personalized that also provides cognitive support for users in a way that is intuitive, contextual and socially aware. Technology advances were discussed and not only included enhancing the user's experience with particular server domains at the micro level, but also the melding of resources across multiple server domains at the macro level. The symposium concluded with a discussion about specific applications of Personal Web, in the domains of healthcare, e-Commerce, and business in general.
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How this classification was reachedexpand
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) | 0.002 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".