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came <strong>in</strong>to common use. A number of electronic utilities serv<strong>in</strong>g this sort of function already exist on an ad hoc<br />

basis (newsgroups, email nicknames, lists of 'cool sites', and such-like), but we have not been able to locate any<br />

documented attempts to consciously eng<strong>in</strong>eer this convergence - nor even any clear suggestions about the<br />

general way <strong>in</strong> which such a seem<strong>in</strong>gly obvious use of computer technology might be implemented!<br />

Individuals will soon be able to def<strong>in</strong>e the behaviour of their own personal <strong>in</strong><strong>format</strong>ion system, based on <strong>in</strong>put<br />

from a wide range of other people and drawn from many sources - a far journey from the days when people<br />

opened their daily paper, read the contents, and considered themselves to be well-<strong>in</strong>formed. On the other hand,<br />

the general concept of a “newspaper” - with size and location def<strong>in</strong><strong>in</strong>g the relative importance of content - still<br />

provides the best metaphor to use <strong>in</strong> discuss<strong>in</strong>g someth<strong>in</strong>g that otherwise is essentially brand new.<br />

For more than a decade now we've been await<strong>in</strong>g the "Daily Me", a digital newspaper concept orig<strong>in</strong>ally put<br />

forward by Nicholas Negroponte and elaborated by many others. Such an <strong>in</strong>tegrated service is envisioned as<br />

offer<strong>in</strong>g a personalised selection of <strong>in</strong><strong>format</strong>ion that has all been actively located and filtered by <strong>in</strong>telligent<br />

agents, based on criteria set by the user accord<strong>in</strong>g to their particular <strong>in</strong>terests. Negroponte also makes a tongue<strong>in</strong>-cheek<br />

reference to the "Daily Us", but just as a rather marg<strong>in</strong>ally-functional agent of such personalisation;<br />

hav<strong>in</strong>g a filter than may be adjusted only accord<strong>in</strong>g to one's mood or time available for ma<strong>in</strong>stream "features"<br />

type material. He goes on to describe a more astute "digital sister-<strong>in</strong>-law"; an <strong>in</strong>terface agent with stored<br />

knowledge of both one's expressed media preferences and actual past responses [Negroponte 1995]. All this<br />

assumes, of course, that most of the <strong>in</strong><strong>format</strong>ion relevant to a particular person's life can be automatically<br />

gathered together from the various roadside attractions to be found scattered along an <strong>in</strong><strong>format</strong>ion<br />

superhighway.<br />

We contend that a key factor is generally be<strong>in</strong>g undervalued <strong>in</strong> all of this theoris<strong>in</strong>g about the future potentials<br />

of computer ‘<strong>in</strong>telligence’ to automate onl<strong>in</strong>e media selection - that is, the existence of a vital community of<br />

<strong>in</strong>telligent humans - and that ‘The Daily Us’ is <strong>in</strong> fact an apt name for a powerful class of application that<br />

could be made available here and now. To implement this we need to develop effective support for a<br />

cont<strong>in</strong>uous feed of relevant references offered by any member of the community - which are received<br />

unsolicited by the user - so that these can then be used <strong>in</strong> the automatic compilation of a unique f<strong>in</strong>al<br />

presentation.<br />

Even when we eventually have <strong>in</strong>telligent agents which are able to serve Negroponte's "digital sister-<strong>in</strong>-law"<br />

function, the recommendations of other real people will cont<strong>in</strong>ue to fulfil a unique function - particularly <strong>in</strong><br />

terms of expos<strong>in</strong>g us to critical pieces of <strong>in</strong><strong>format</strong>ion from areas we'd never th<strong>in</strong>k to <strong>in</strong>tentionally explore<br />

otherwise. Most importantly, though, we don’t have to wait for more powerful systems <strong>in</strong> order to share the<br />

results of our own <strong>in</strong>nate <strong>in</strong>telligence much more effectively. Hyperl<strong>in</strong>ked suggestions received from a user's<br />

friends, professional colleagues and other circles of mental association can already be very effectively fielded<br />

us<strong>in</strong>g the capabilities of exist<strong>in</strong>g personal computers.<br />

There are a few exist<strong>in</strong>g <strong>in</strong>itiatives which can provide some <strong>in</strong>sight <strong>in</strong>to the range of considerations <strong>in</strong>volved <strong>in</strong><br />

lett<strong>in</strong>g other people help structure a user’s access to <strong>in</strong><strong>format</strong>ion. The most relevant is probably the NoCeM<br />

project, <strong>in</strong>tended to perfect selective controls for access to Usenet files. Though primarily directed at block<strong>in</strong>g<br />

out unwanted post<strong>in</strong>gs from view, it can also work the other way around, to only acknowledge post<strong>in</strong>gs from<br />

specifically authorised persons - or specific post<strong>in</strong>gs that those other ‘approved’ people have recommended<br />

[‘moose’ 1996]. Beyond this, there is a body of work that has been done with<strong>in</strong> the field of Computer<br />

Supported Collaborative Work that will provide useful h<strong>in</strong>ts toward design<strong>in</strong>g an appropriate user <strong>in</strong>terface.<br />

Process of Interaction<br />

The way <strong>in</strong> which suggestions are filtered provides a good start<strong>in</strong>g po<strong>in</strong>t from which to discuss the proposed<br />

<strong>in</strong>teractive <strong>in</strong>frastructure which could eventually lead to a highly-personalised version of ‘The Daily Us’:<br />

Anyone could recommend anyth<strong>in</strong>g to anyone else; without be<strong>in</strong>g concerned that this might be taken as an<br />

unwanted <strong>in</strong>trusion. Such recommendations would be automatically filtered and ‘graded’ as to their probable<br />

importance (i.e., whether or not they appear on the “front page”) based on an process which has assigned<br />

stature to whatever past suggestions they may have made - all by way of one’s own personal assessment of the<br />

media itself. In short, whoever proved to be the best source of references would naturally come be promoted to<br />

the most effective ‘virtual editor’ position.<br />

The likely ‘relevance level’ of known contributors would <strong>in</strong>itially be assigned by the user, but the stature of

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