Updated: 11/2/2004; 7:47:13 AM.
Cognitive Psychology
This includes: The Science of Cognition Perception Attention and Performance Perception-Based Knowledge Representations Meaning-Based Knowledge Representations Human Memory Encoding and Storage Human Memory Retention and Retrieval Problem Solving Development of Expertise Reasoning and Decision Making Language Structure Language Comprehension Individual Differences in Cognition Human-Computer Interaction
        

Thursday, October 21, 2004

Warm Offices Boost Productivity [Slashdot:]
10:42:00 AM      Google It!.

Using Emergent Classification as a Starting (Not End) Point.

http://www.adaptivepath.com/publications/essays/

From elearningpost comes mention of this useful article by Peter Merholz (some may remember him from 'peterme' days, one of my earliest regular blog reads).

D'Arcy, King and I had been trading emails a few weeks back on the value of emergent classifications systems like those seen in Flickr for use in learning object repositories. Clearly, the idea is getting a bit of play, at least within the blogosphere.

What troubled me was that some of the current executions seemed a little bit like a baby/bathwater thing - yes, emergent classification systems are interesting and reflect actual users' language usage, but they are also problematic - in being flattened, they do not have the depth (and the corresponding teaching ability) that hierarchical taxononmies can offer their users, and are also plagued with some of the problems Merholz points to. I mean, have you ever actually tried to find something you know should be there but didn't know the classification for, (as opposed to just serendipidously browsing), in an flattened keyword system?

Instead, I think Merholz describes better than I did in my emails to D'Arcy and King what I think we should be looking towards - using 'emergent' temrs as the basis for creating connections between terms users actually use, as the basis for continual refinement of more complicated, less flattened, taxonomies.

How would this actually work - at the very least I think it could show up in things like 'type ahead' functionality that tries to complete the term you are entering based on previous 'emergenet' terms, or else asking the user to confirm whether they were using a term in one sense or another after they have submitted their choice. - SWL[EdTechPost] -- I think you are missing the power of search cimbined with usage information - the google way to usefulness - is a workable organic model that maps human behavior with some extra facilitation with classifications/hierarchies of links.  The place where cogent hierarchies will work is in personal search bots that to a degree map the hierarchial category structure of the human for whom the search is being performed.  A server system can only go so far with "common language" that is necessarily built on past usage of a shared language such as English.  -- suggestion: keep the xml-rpc gateway open for assisted searching because the user's machine is the proximal client. -- BL


10:33:34 AM      Google It!.

Digital Cameras Help Alert Sleepy Drivers [Slashdot:] Home > News, Guides, Tips > Digital Cameras Appropriated for Automobile Safety - Help Deter Distracted Drivers

Digital Cameras Appropriated for Automobile Safety - Help Deter Distracted Drivers by Emily Raymond October 19, 2004 -" Digital cameras are now being used in cars to keep drivers awake and less distracted. The cameras are used as part of the automotive vision system; some cameras scan drivers’ eye movements to detect where the driver is looking, while others watch the road for animals or pedestrians. If a pedestrian crosses the street in front of a car with the automotive vision system, the digital cameras will see the person and scan the driver’s eyes to check for alertness. If the driver is not paying attention, an alarm will alert the driver. According to a study by the National Highway Traffic Safety Administration, about 25 percent of all automobile accidents and 68 percent of rear-end crashes are caused by distracted drivers. ...Despite the fact that the use of a cell phone while driving can increase chances of an accident by 400 percent, many drivers continue to chat the miles away."


8:38:37 AM      Google It!.


Study Says 4.1M Domestic Robots In Use By 2007 [Slashdot:]
8:21:05 AM      Google It!.

© Copyright 2004 Bruce Landon.
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