DS 80-11 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 11:Human Behaviour in Design, Design Education; Milan, Italy, 27-30.07.15, 2015
As designers collect information about a problem, they form a mental frame of the problem space t... more As designers collect information about a problem, they form a mental frame of the problem space that is the scaffolding around which to build a solution. When presented with new information, successful designers can “reframe” the problem and the solution as part of a successful iterative cycle. These iterative cycles are central to the Stanford Design Thinking process. However, individuals and teams reframe to differing extents; is this variation rooted in intrinsic differences in cognitive style, and can it be associated with long-term innovative performance? We propose and evaluate a closed-form assessment tool called the Stanford Design Thinking Exercise (SDTE) to answer these questions. The results shed light on the particularly strong need for improved team dynamics measurements and the challenges of transcending context-specificity. Pathways for enhanced team dynamics measurements are explored.
This paper addresses the need of matching the product architecture and the interactions in design... more This paper addresses the need of matching the product architecture and the interactions in design teams. A new method for this of how to build agile design teams was first introduced in 2013. We conducted a method-confirming study during spring 2014 where the same study-setup was tested. An idea of gathering interaction data of this study dynamically with a device occurred and led to prototyping with different technologies and concepts. We built a wearable device that is able to detect proximity of other similar devices in front of it nearby and this acts as a proxy for interaction. The device is based on an open source Arduino platform and a radio frequency transceiver chip. User testing of the proof of concept prototype shew promising results of acceptance and robustness. In future research we should be able to to see in real-time how system components and organizational interactions are in interplay with each other, where are the resources used, and thus learn from it how to buil...
DS 80-11 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 11:Human Behaviour in Design, Design Education; Milan, Italy, 27-30.07.15, 2015
As designers collect information about a problem, they form a mental frame of the problem space t... more As designers collect information about a problem, they form a mental frame of the problem space that is the scaffolding around which to build a solution. When presented with new information, successful designers can “reframe” the problem and the solution as part of a successful iterative cycle. These iterative cycles are central to the Stanford Design Thinking process. However, individuals and teams reframe to differing extents; is this variation rooted in intrinsic differences in cognitive style, and can it be associated with long-term innovative performance? We propose and evaluate a closed-form assessment tool called the Stanford Design Thinking Exercise (SDTE) to answer these questions. The results shed light on the particularly strong need for improved team dynamics measurements and the challenges of transcending context-specificity. Pathways for enhanced team dynamics measurements are explored.
This paper addresses the need of matching the product architecture and the interactions in design... more This paper addresses the need of matching the product architecture and the interactions in design teams. A new method for this of how to build agile design teams was first introduced in 2013. We conducted a method-confirming study during spring 2014 where the same study-setup was tested. An idea of gathering interaction data of this study dynamically with a device occurred and led to prototyping with different technologies and concepts. We built a wearable device that is able to detect proximity of other similar devices in front of it nearby and this acts as a proxy for interaction. The device is based on an open source Arduino platform and a radio frequency transceiver chip. User testing of the proof of concept prototype shew promising results of acceptance and robustness. In future research we should be able to to see in real-time how system components and organizational interactions are in interplay with each other, where are the resources used, and thus learn from it how to buil...
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