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Introduction to building pathology
Published in James Douglas, Bill Ransom, Understanding Building Failures, 2013
Like any other approach, PBP is not without its weaknesses. The following are some examples of the drawbacks of reflecting:Too much reflection could encourage excessive introspection or ‘navel gazing’ or inhibit creativity (Day 2003). This may engender excessive scepticism or doubt, which in turn might lead to a paralysis in decision making (see ‘analysis paralysis’ problem in next chapter). It may also impede the ‘blink’ or intuitive faculty that experienced practitioners unconsciously employ to help them make effective, rapid decisions (Gladwell 2005).The extent and style of PBP is limited or particular to each practitioner. Not all practitioners will apply PBP to the same extent or with the same consistency.PBP might discourage the adoption of best practice from other sources if they conflict with it.
Visual Standards and Visual Scheduling/Visual Displays
Published in Gwendolyn D. Galsworth, Visual Workplace, 2017
The kind of information required to make sound decisions has context, focus, and weight; the result is meaning. Anyone who has ever worked with computer-based information has experienced the frequent and surprising fragmentation of information that computers can create in a nanosecond. When meaning devolves into data and data into minutiae, it is often hard to get a picture big enough to take appropriate action. The resulting analysis/paralysis can choke the decision-making process.
Introduction to Analysis
Published in Gerhard Plenert, Joshua Plenert, Strategic Excellence in the Architecture, Engineering, and Construction Industries, 2018
Gerhard Plenert, Joshua Plenert
The indiscriminate amassing of information inherent in “finding out all there is to know” not only wastes time, effort, and money, it can actually impede solution of a problem by burying you under an avalanche of irrelevant, unmanageable detail. In short, it causes, “analysis-paralysis.”
Dealing With Information Overload in Multifaceted Personal Informatics Systems
Published in Human–Computer Interaction, 2018
It is because of the transformative potential of PI systems that there is an increasing emphasis on their use in health and well-being contexts. We consider the prevention of information overload to be especially important in such contexts, as problems in dealing with the insights provided might undermine the significant benefits that a system can provide. In particular, the negative impact of information overload on the sensemaking process, which is consonant with the so-called analysis paralysis that one of our study participants described, raises significant concerns in a context where inappropriate decisions and incorrect courses of action could cause physical or mental harm (Barton, 2012). Although we have shown that automated filtering is possible, we believe there may be significant risks associated with a dependence on information filtering in these contexts. Our approach to filtering is founded on users’ desire to see “interesting” insights. However, “interesting” and “important” are not always interchangeable. It is likely that health and well-being situations necessitate the display of information which users should or must see for their own benefit, as opposed to only information that they want to see. In contexts where certain information is critical—for example, where a correlation indicates that something is having an adverse effect on health—alternative filtering criteria are likely to be required. A system in this context might additionally incorporate expert knowledge (e.g., from clinicians and health professionals) as part of the filtering process in order to flag correlations that, if present, should categorically not be ignored.