Joshua D. Summers, Srinivasan Anandan, and Sudhakar Teegavarapu
- Published in print:
- 2009
- Published Online:
- September 2009
- ISBN:
- 9780195381634
- eISBN:
- 9780199870264
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195381634.003.0010
- Subject:
- Psychology, Cognitive Psychology
This chapter retrospectively examines three specific cases of design enabler development in the Automation in Design Group at Clemson University. In defining design enablers as tools that are found ...
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This chapter retrospectively examines three specific cases of design enabler development in the Automation in Design Group at Clemson University. In defining design enablers as tools that are found throughout the design process, both computational and non-automated, that enable designers to achieve product solutions, this chapter sets the stage for comparing two main drivers for enabler genesis. The three design enablers that are studied are as follows: design exemplar-based solid model retrieval system, a requirements modeling and concept exploration tool, and connectivity graphs derived from reverse engineering needs. Two different approaches for tool development are explored: demand driven and internally pushed. This chapter highlights the differences between the development of these tools and how this impacts their validation, implementation, and assimilation. Specifically, the focus of this chapter is to provide a foundation that is more structured and systematic for other design researchers while meeting the needs and requirements of industry end-users of the design enablers.Less
This chapter retrospectively examines three specific cases of design enabler development in the Automation in Design Group at Clemson University. In defining design enablers as tools that are found throughout the design process, both computational and non-automated, that enable designers to achieve product solutions, this chapter sets the stage for comparing two main drivers for enabler genesis. The three design enablers that are studied are as follows: design exemplar-based solid model retrieval system, a requirements modeling and concept exploration tool, and connectivity graphs derived from reverse engineering needs. Two different approaches for tool development are explored: demand driven and internally pushed. This chapter highlights the differences between the development of these tools and how this impacts their validation, implementation, and assimilation. Specifically, the focus of this chapter is to provide a foundation that is more structured and systematic for other design researchers while meeting the needs and requirements of industry end-users of the design enablers.
D. A. Norman
- Published in print:
- 1990
- Published Online:
- March 2012
- ISBN:
- 9780198521914
- eISBN:
- 9780191688454
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198521914.003.0014
- Subject:
- Psychology, Human-Technology Interaction
As automation increasingly takes its place in industry, especially in high risk industry, it is often blamed for causing harm and increasing the chance of human error when failures do occur. This ...
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As automation increasingly takes its place in industry, especially in high risk industry, it is often blamed for causing harm and increasing the chance of human error when failures do occur. This chapter proposes that the problem is not the presence of automation, but rather its inappropriate design. The problem is that the operations under normal operating conditions are performed appropriately, but there is inadequate feedback and interaction with the humans who must control the overall conduct of the task. When the situations exceed the capabilities of the automatic equipment, the inadequate feedback leads to difficulties for the human controllers.Less
As automation increasingly takes its place in industry, especially in high risk industry, it is often blamed for causing harm and increasing the chance of human error when failures do occur. This chapter proposes that the problem is not the presence of automation, but rather its inappropriate design. The problem is that the operations under normal operating conditions are performed appropriately, but there is inadequate feedback and interaction with the humans who must control the overall conduct of the task. When the situations exceed the capabilities of the automatic equipment, the inadequate feedback leads to difficulties for the human controllers.
