Voice and Multimodal Access to AEC Project Information
Bibliographic record
Abstract
With current developments in information and communication technology, we are rapidly moving away from the Desktop and Laptop Web paradigms towards the Mobile Web paradigm, where mobile smart devices such as Smart phone, Pocket PC, PDA, hybrid devices (phone-enabled Pocket PC), and wear-able computers will become powerful enough to replace laptop computers in the field. The availability of real time, complete information exchange with the project information repository is critical for decision making in the construction field, as information frequently has to be transmitted to and received from the project repository right on site. Whereas construction sites are often established for limited periods of time in locations where wired telecommunication infrastructure is often unavailable or limited. Therefore, it becomes important to establish a framework for augmenting the existing integrated project repository environment with mo-bile wireless devices. Mobile workers on a construction site will be able to use smart mobile devices to communicate with the project information repository in real time thus enabling timely and informed decision making on the project. This paper discusses the advantages of using VoiceXML technology for mobile industrial applications, presents a pilot industrial application of voice technology, and underlines the direction of future research in the area of mobile multimodal communication of AEC project information.
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.
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 | 0.001 |
| 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 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".