Daniel Hooks

Dan Hooks works as a test and automation software consultant in the San Francisco Bay Area. He specializes in developing product-quality applications written in National Instruments' LabVIEW. Dan has been a Certified LabVIEW Architect since 2007, and has worked in the design, software development, and product management of commercial software applications.

RE: Tracing the Spark of Creative Problem-Solving

Article:  Carey, B. (2010). “Tracing the Spark of Creative Problem-Solving.” nytimes.com. Visited on October 29th, 2012: http://www.nytimes.com/2010/12/07/science/07brain.html Summary:  Puzzles come in a wide variety of formats. They are appealing to people both because of the dopamine rush of arriving at a solution, and also because they shift the brain into an open, playful state. Puzzles are solved in two main ways — either through insight thinking or analytical thinking.  Insight thinking is when an answer comes to a person suddenly, seemingly out of the blue. Analytical thinking involves employing a systematic approach of testing available possibilities. Both types of thinking are typically required to solve challenging problems. The differences between the two approaches have been debated by scientists, but current experiments and brain-imaging studies indicate that they are separate abilities requiring truly different brain states. Test subjects are more likely to solve puzzles using insight thinking when they display brain activity in the anterior cingulate cortex. This activity is associated with the widening of attention, making the brain more open to distraction and to detecting weaker connections. Positive mood appears to shift the brain towards the state required for insight thinking. In experiments where subjects are shown a humorous video…

RE: Deadline Pressure Distorts Our Sense of Time

Article:  Herbert, W. (2011). “Deadline Pressure Distorts Our Sense of Time.” scientificamerican.com. Visited on October 9th, 2012: http://www.scientificamerican.com/article.cfm?id=looming-deadlines Summary:  The perceived difficulty and deadline pressure associated with a task alters our perception of time. In an initial study, subject were presented with a series of tasks of varying difficulty and asked how far away the day of completion felt to them. The tasks that were more complex and work intensive were perceived as being further in the future. To arrive at this result our brains are translating effort into time, assuming that the more difficult tasks must be further away since they will require more work to complete. An opposite effect is encountered when deadlines are associated with the tasks. If subjects are presented with either an easy or difficult task that they must complete by a set date in the future, those with the more complex and effortful task report that the date feels much closer to them than those with the simple task. This effect may sometimes cause us to feel overwhelmed as multiple complex tasks pile up on us, but our skewed perception of time also ensures that we typically complete necessary tasks within the actual amount of time…

RE: Go Figure: Why we think rituals can influence results

Article: Blastland, M. (2011). “Go Figure: Why we think rituals can influence results.” bbc.co.uk. Visited on October 9th, 2012: http://www.bbc.co.uk/news/magazine-14917871 Summary: Humans have a strong capacity for pattern recognition. This is beneficial in many circumstances, aiding in our survival and helping us safely navigate our environment. However, the same cognitive mechanisms can also cause us to make incorrect associations between cause and effect. One example is a sports fan believing that a ritual like wearing “lucky” socks during an event will increase the chances of success for their favorite team. In statistics this over-interpretation of random events and correlations is known as a Type I error. The same type of behavior can be seen in animal studies, where pigeons will repeat an action that they have incorrectly assumed is the cause of food being delivered to them, when the timing was actually random. Conceptual Design: When designing a new product are we utilizing our users’ strength for pattern recognition?  Often humans can tease complex patterns from noisy data far more effectively than computers.  Can users effectively see the link between using our product and having the positive outcomes that they desire? If our product has benefits, we would definitely like our users…