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Last modified by Rixt Hellinga on 2024/04/08 18:40
From version 20.1
edited by Jean-Paul Smit
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edited by William OGrady
on 2024/04/04 15:00
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1 -== **//Background//** ==
1 +== Background ==
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3 3  The issue at hand, as discussed in previous chapters, requires a combination of human and robot solutions. To design and develop such a solution we can use the Socio-Cognitive Engineering (SCE) method. SCE is a framework that among other things promotes human collaboration and learning with technology-based systems [3]. It provides a clear structure, consisting of a foundation, specification, and evaluation. It allows us to take into account stakeholders and their values, and create claims through functions, effects, and use cases. The incremental and iterative process taken in the SCE method combines human factors and related technology to form re-usable solutions.
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9 9  The fields of cognitive science and human-robot interaction help us understand how certain robot and human behaviour is interpreted by users and how those interpretations can be used that to achieve a certain goal. It would for example be beneficial to develop a technology that seems trustworthy by having it mimic human behaviour [4] [5]. These fields help us utilize human reactions in order to create a better solution to our problem.
10 10  As is clear now, multiple sciences are necessary for providing a clear perspective on the possible solutions to our problem. Socio-Cognitive Engineering allows us to combine the methods found in those fields into an interdisciplinary process of development.
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12 -= **//References//** =
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14 14  [1] Week 3.1a slide 27.
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