“Research into information overload has been extensive and cross–disciplinary, producing a multitude of suggested causes and posed solutions. I argue that many of the conclusions arrived at by existing research, while laudable in their inventiveness and/or practicality, miss the mark by viewing information overload as a problem that can be understood (or even solved) by purely rational means. Such a perspective lacks a critical understanding in human information usage: much in the same way that economic models dependent on rationality for their explanations or projections fail (often spectacularly, as recent history attests), models that rely too heavily upon the same rational behavior, and not heavily enough upon the interplay of actual social dynamics — power, reputation, norms, and others — in their attempts to explain, project, or address information overload prove bankrupt as well. Furthermore, even research that displays greater awareness of the social context in which overload exists often reveals a similar rationality in its conceptualization. That is, often the same ‘social’ approaches that offer potential advantages (in mitigating information overload) over their ‘non–social’ counterparts paradoxically raise new problems, requiring a reappraisal of overload that takes social issues into account holistically.” (Anthony Lincoln ~ First Monday Volume 16, Number 3)

“Critical discussion around design is as important as the design process itself. If you work in a design team, feedback from your colleagues can keep you challenged, and can push you to improve. Despite its value to the outcome of the design process, it’s far too often avoided like a trip to the dentist because we subconsciously feel criticism of our work is not just a reflection on our design, but is a spotlight upon our personal shortcomings. Nothing could be farther from the truth. Proper design criticism focus on goals, outcomes, and the needs of the users.” (Aarron Walter ~ Think Vitamin)

“This model predicted the reaction of users as the key elements of Flickr’s personalized homepage propagated to other web sites. It predicted why users were initially delighted and why the delight faded over time. We find the Kano Model to be an indispensable tool for designers. Let’s take the model apart, so we can understand why it’s so useful.” (Jared Spool ~ User Interface Engineering)

“A good strategy doesn’t fall out of the air by itself. You’ll want to have several strategies on the table later on so that you can choose the best one. So first we need to create some basis for creating strategies.” (Martijn van Welie)

“This paper traces the specifics of information science as a social science. The paper examines the background of the social sciences in the history of academic disciplines. The paper discusses the ways in which positivism and interpretativism, the leading traditions of the social sciences, assert themselves in information science as a social science. It is argued that received ideas about the social sciences impact how information science as a social science is perceived. It is also argued that information science as a social science can and should provide valid scientific explanations. This paper distinguishes social interaction as the defining feature of information science as a social science. To this end, the paper proposes global complexity not as a theory or solution, but as a metaphor for information science as a social science to address the pressing issues of our increasingly interconnected world.” (Sylvain K. Cibangu ~ Information Research 15.3)