Simple. I add a research paper as often as possible, usually related to design, creativity and innovation -but not always. A way to keep an accessible record and to share with others.
11 April 2013
On creativity of slime mould
Authors: Andrew Adamatzky, Rachel Armstrong, Jeff Jones & YukioPegio Gunji
Link: http://www.tandfonline.com/doi/pdf/10.1080/03081079.2013.776206
Abstract: Slime mould Physarum polycephalum is large single cell with intriguingly smart behaviour. The slime mould shows outstanding abilities to adapt its protoplasmic network to varying environmental conditions. The slime mould can solve tasks of computational geometry, image processing, logics and arithmetics when data are represented by configurations of attractants and repellents. We attempt to map behavioural patterns of lime onto the cognitive control vs. schizotypy spectrum phase space and thus interpret slime mould’s activity in terms of creativity"
My notes: What can I say? The title says it all. Creativity is definitely on the eye of the researcher!
7 March 2013
Neuroanatomy of Creativity
Title: Neuroanatomy of Creativity
Authors: Rex E. Jung,Judith M. Segall, H. Jeremy Bockholt, Ranee A. Flores, Shirley M. Smith, Robert S. Chavez, andRichard J. Haier
Abstract: Creativity has long been a construct of interest to philosophers, psychologists and, more recently, neuroscientists. Recent efforts have focused on cognitive processes likely to be important to the manifestation of novelty and usefulness within a given social context. One such cognitive process – divergent thinking – is the process by which one extrapolates many possible answers to an initial stimulus or target data set. We sought to link well established measures of divergent thinking and creative achievement (Creative Achievement Questionnaire – CAQ) to cortical thickness in a cohort of young (23.7 ± 4.2 years), healthy subjects. Three independent judges ranked the creative products of each subject using the consensual assessment technique (Amabile, 1982) from which a “composite creativity index” (CCI) was derived. Structural magnetic resonance imaging was obtained at 1.5 Tesla Siemens scanner. Cortical reconstruction and volumetric segmentation were performed with the FreeSurfer image analysis suite. A region within the lingual gyrus was negatively correlated with CCI; the right posterior cingulate correlated positively with the CCI. For the CAQ, lower left lateral orbitofrontal volume correlated with higher creative achievement; higher cortical thickness was related to higher scores on the CAQ in the right angular gyrus. This is the first study to link cortical thickness measures to psychometric measures of creativity. The distribution of brain regions, associated with both divergent thinking and creative achievement, suggests that cognitive control of information flow among brain areas may be critical to understanding creative cognition.
My notes: I'll be brief because I don't know anything about neuroscience, I respect experts that study our brain, the abstract is long enough, and this type of papers are SO easy to comment. Here is their key statement: "The distribution of significant areas throughout the brain, found in the current study, suggests that information flow among brain areas may be a key to creativity". If you know more about neuroscience you can read and understand it much better. But, still the question will be: "So what?". As Dieteich says in "Who is afraid of a cognitive neuroscience of creativity?", such brain mapping projects rest on the fundamental assumption that something identified as "creativity" can be localised in the human brain. I was expecting to read in this paper even a short explanation as to why locating a brain region that performs a specific mental function matters in order to understand creativity. Alas, the authors fail to explain this.
27 February 2013
Learning from Architects: The Difference between Knowledge Visualization and Information Visualization
22 January 2013
A Three-Dimensional View of Personality
Personal notes: This paper contains some key notions that represent (part of) model-building in the (social) sciences. First, here are some statements to consider:
- "Consequently, it seems better to speak of the personality system as embedded in..."
- "It would be elegant and consistent to extend the use of the levels approach..."
- "We believe that discussing personality's inner function requires a different kind of conceptual tool..."
- "To be valid, models must cover personality comprehensively, have clear distinctions among divisions, and be scientifically useful."
- "Their application of multilevel modeling... makes possible clearer communication..."
19 January 2013
Do People Prefer Curved Objects?
http://libres.uncg.edu/ir/uncg/f/P_Silvia_Do_2009.pdf
Update: Ok, so I got to read the paper. Not to disrespect the authors or anything, but this paper is like those movies in which the title is enough to get the idea and you really don't need to spend your time reading it all. Two experiments were conducted, the results are a) as expected and b) inconclusive. Yes, people do prefer curved objects but it's much more complicated than that.
11 December 2012
Innovation through imitation
Title: Copycats: how smart companies use imitation to gain a strategic edge
Oded Shenkar, (2010) "Copycats: how smart companies use imitation to gain a strategic edge", Strategic Direction, Vol. 26 Iss: 10, pp.3 - 5
Findings – In the business world, imitation gets a bad rap. We see imitating firms as “me too” players, forced to play catchup because they have nothing original to offer. In Copycats, Oded Shenkar challenges this viewpoint. He reveals how imitation is as critical to prosperity as innovation and how savvy imitators generate huge profits. They save not only on R&D costs but also on marketing and advertising investments made by first movers, and avoid costly errors by observing and learning from others' trials.
My notes: This paper presents one of those ideas that are very unlikely to spread in certain worlds like business and design. People in these communities don't want to hear/see evidence that a great component of innovation is, in fact, imitation. Shenkar's ideas are unlikely to be acclaimed, but they are the kind of ideas that reveal a great deal about innovation and how we study it.
8 December 2012
What (Design) Theory is not
Title: What Theory is not
RI Sutton, BM Staw - Administrative science quarterly, 1995
Abstract:
This essay describes differences between papers that contain some theory rather than no theory. There is little agreement about what constitutes strong versus weak theory in the social sciences, but there is more consensus that references, data, variables, diagrams, and hypotheses are not theory. Despite this consensus, however, authors routinely use these five elements in lieu of theory. We explain how each of these five elements can be confused with theory and how to avoid such confusion. By making this consensus explicit, we hope to help authors avoid some of the most common and easily averted problems that lead readers to view papers as having inadequate theory. We then discuss how journals might facilitate the publication of stronger theory. We suggest that if the field is serious about producing stronger theory, journals need to reconsider their empirical requirements. We argue that journals ought to be more receptive to papers that test part rather than all of a theory and use illustrative rather than definitive data.
My notes:
This is one of those papers that I keep mentioning over and over in discussions about design theory,l and design research. Probably a good time now to write a paper on What Design Theory is Not?
4 December 2012
Metamorphosis: Transforming Non-designers into Designers
Title: Metamorphosis: Transforming Non-designers into Designers
Authors: SIEGEL, Martin A and STOLTERMAN, Erik
Abstract: In this paper we make the case that there is today a growing number of educational settings experiencing challenges when it comes to transforming non-designers into designers, and in particular, interaction designers. We see this development as a consequence of an increased awareness and recognition of what broadly could be labeled as a design perspective. We examine the transformational process, the metamorphosis, by which nondesigner students become interaction designers. We identify and describe the barriers that make it difficult for the students to move through this transformational process. We also propose some pedagogical approaches that can reduce the barriers and improve the possibility for the transformation to occur. The approach that we have developed and describe consists of three parts. Based on a fundamental understanding of the nature of design, we have developed (i) a tentative transformational model of how nondesigners become interaction designers; (ii) a special kind of conceptual framework used to support students in the transformational process; and (iii) design assignments based on real-world design problems. We end the paper with two conclusions. First we argue that there is a challenge in transforming non-designers into designers, but that it is possible if the educational effort is based on an understanding of design and on the transformational process with its barriers. Finally we argue that the experience of trying to turn nondesigners into interaction designers is in itself a valuable research approach. Dealing with non-designer students reveals deep insights about the nature of the design process and makes it possible to better formulate what constitutes a designerly approach.
My notes: One of the best papers that will help design educators to introduce "designerly" themes to other disciplines, design researchers and practitioners to better collaborate with colleagues from other disciplines. I first read this paper three years ago and is one of those papers that I'm constantly talking about.
3 December 2012
A structural matrix model for design variety
Authors: Ding-Bang Luha, Yao-Tsung Koa* & Chia-Hsiang Maaa
ABSTRACT: The design process is an important stage in new product development. An information model is a useful tool for analysing and improving a complex design process and product architecture because it allows the designer to visualise information flow. Based on graph theory and the weighting concept, this paper presents a quantified design structure matrix, which is a systematic planning method of optimising design priorities and product architecture for managing product variety from an informational structure perspective. Focusing on product variety and the design process in concurrent engineering, the planning model is divided into two phases: global planning and local planning. The proposed method helps designers optimise design planning and plan better design strategies for product variety. It can be applied in developing future generations of a product based on an existing product. A case study is used to illustrate this method. The results verify that designers can concurrently create variant design solutions in a product family that can meet different market needs without extra effort being spent on redundant design loops
My notes: This paper received the Best Paper Award in this journal. It is an exemplary type of research from this community. As such, the assumptions, the methods and the goals of this type of paper deserve a careful analysis. I'm not judging here the quality of this work (which I assume to be very high therefore the prize), what is much more relevant is the disciplinary traditions reflected by this paper. One can argue whether this research is transformative or incrementa, whether it seeks to evolve or improve practice, or whether it extends our understanding or refines our practice. The claims are equally interesting, worth discussing the real degree and scope of generalisation. No doubt a reference paper.
29 November 2012
Innovation Capabilities of Engineering Students
Title: An Experimental Investigation of the Innovation Capabilities of Engineering Students
Authors: N. Genco and K. Holtta-Otto, C. C. Seepersad
Abstract: "In this experimental study, we compare the results of concept generation exercises completed by freshman- and senior-level mechanical engineering students. Resulting concepts were analyzed using metrics for novelty, fixation, and quality. The results indicated that the freshman students produced more novel concepts and were less fixated on the sample clocks shown in the experiment. Both freshman and senior groups produced concepts with similar (high) levels of quality and feasibility. The results support the troubling conclusion that freshman engineering students are more innovative than seniors. This conclusion highlights the need for increased emphasis on innovation and creativity in the engineering curriculum."
Link: http://www.me.utexas.edu/~ppmdlab/files/creative%20ability%20031010.FINAL.pdf
My notes: "Freshman engineering students are more innovative than their senior-level counterparts... , the results of this preliminary study imply that students become less creative as they progress through the engineering curriculum"