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portfolio without advance knowledge of the distribution of the stock market vectors. One approach is to distribute the wealth among a continuum of fund managers, each of which follows a different constantly rebalanced portfolio strategy. Since one of the managers will do exponentially better than the others, the total wealth after n days will be dominated by the largest term. We will show that we can achieve a performance of the best fund m 1 manager within a factor of n 2 . This is the essence of the argument for the in nite-horizon universal portfolio strategy. A second approach to this problem is as a game against a malicious opponent or nature who is allowed to choose the sequence of stock market vectors. We de ne a causal (nonanticipating) portfolio strategy bi (xi 1 , . . . , x1 ) that depends only on the past values of the stock market sequence. Then nature, with knowledge of the strategy bi (xi 1 ), chooses a sequence of vectors xi to make the strategy perform as poorly as possible relative to the best constantly rebalanced portfolio for that stock sequence. Let b (xn ) be the best constantly rebalanced portfolio for a stock market sequence xn . Note that b (xn ) depends only on the empirical distribution of the sequence, not on the order in which the vectors occur. At the end of n days, a constantly rebalanced portfolio b achieves wealth:

(14:1)

The approaches could be combined For instance, being able to use the same personal buddy list in different applications would be an improvement to the current systems where each system requires the user to maintain a separate buddy list6 Due to the variation in types of personal relationships, ontological modelling could not be very structured A blackboard approach, where the user could associate different pieces of information to each person, would be a better approach Group management features could also explore the potential of tagging , the practice of adding free textual descriptions to a certain element that has gained popularity with social software-based services such as Flickr (for photo sharing) and delicious [8] (for bookmarks sharing) These loose metadata systems (sometimes called folksonomies ) rely very much on the potential of distributed, informal description features of very similar items [33,34] 82.

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5 Remarks on the User Evaluation 8251 Tolerating Uncertainty How to treat ambiguous and con icting user research results and how to use these results is a key question Developers often ask for clear answers and immediately useful ndings However, there are occasions when such answers are not available Kirk and Miller [16], in their overview of qualitative research, present a well-known allegory of the blind men and the elephant The blind men approach the elephant from different angles; one grasps the trunk, one touches the tusks and one its ears The blind men soon end up quarrelling about their irreconcilable reports The vulgar positivistic view would be to compensate for errors in measurement and conclude that the elephant is a formless blob covered with wrinkled skin Equally unfruitful would be to adopt pure perspectivism treating all viewpoints as equally valid, denying possibilities to mediate between them.

The Status option turns the light on and off. Choose On or Off. You can turn lights on and off to create day and night scenes or to experiment with different lighting arrangements without having to delete or move lights.

In contrast to these approaches, if the blind men (the eld researchers) can come to a consensus that all of them only feels one part of some huge object, contradictory reports are no longer an issue Such reports are not non-objective, nor should they be treated as global features of the item being analysed Rather, they are partial descriptions of a complex whole [16] Research on the potentials and caveats of complex future technologies must tolerate some degree of uncertainty This involves taking contradictory and ambiguous information that research generates When dealing with complex phenomena, seeking simple answers is likely to be useless, even damaging In many cases, a clear discrepancy can be identi ed between how people talk about technologies and how they actually use them if given the opportunity.

FIGURE 11-12

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