scholarly journals Designing a tangible tabletop installation and enacting a socioenactive experience with TangiTime

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Yusseli Lizeth Méndez Mendoza ◽  
M. Cecília C. Baranauskas
Keyword(s):  
Design Process ◽  
Interaction Design ◽  
Exploratory Study ◽  
Systems Design ◽  
Design Methods ◽  
Deep Time ◽  
Educational Exhibit ◽  
Computational Systems ◽  
Computational Technology

AbstractContemporary computational technology (tangible and ubiquitous) are still challenging the mainstream systems design methods, demanding new ways of considering the interaction design and its evaluation. In this work, we draw on concepts of enactivism and enactive systems to investigate interaction and experience in the context of the ubiquity of computational systems. Our study is illustrated with the design and usage experience of TangiTime: a tangible tabletop system proposed for an educational exhibit. TangiTime was designed to enable a socioenactive experience of interaction with the concept of “deep time.” In this paper, we present the TangiTime design process, the artifacts designed and implemented, in its conceptual, interactional, and architectural aspects. Besides that, we present and discuss results of an exploratory study within an exhibition context, to observe how socioenactive aspects of the experience potentially emerge from the interaction. Overall, the paper contributes with elements of design that should be considered when designing a socioenactive experience in environments constituted by contemporary computational technology.

scholarly journals Enhancing a Tangible Tabletop with Embedded-Technology Objects for Experiencing Deep Time

2019 ◽  
Author(s):  
Yusseli Lizeth Méndez Mendoza ◽  
M. Cecília Baranauskas
Keyword(s):  
Design Process ◽  
Tangible Interfaces ◽  
Abstract Concepts ◽  
Deep Time ◽  
Embedded Technology ◽  
Physical Objects ◽  
Educational Exhibit ◽  
Concrete Concepts

Abstract concepts are harder to understand because they do not provide a direct sensory reference as concrete concepts do. Tangible interfaces have been shown benefits to facilitate the learning of such concepts through the manipulation of physical objects. In this work, we investigate the use of TangiTime, an educational exhibit designed and constructed as a tangible tabletop enhanced with embedded-technology objects to explore the concept of deep time. In particular, we were interested in the role of embedded-technology objects to support engagement and learning. We describe the TangiTime design process and artifacts implementation. Also, we present the context in which the exhibit was put into usage and results. Our results indicate that interaction with embedded-technology objects creates new ways of experiencing tangible tabletops and more engagement with the theme of the exhibit.

Impact of Secondary Flow on the Accuracy of Simplified Design Methods for Steam Turbine Stages

2012 ◽  
Author(s):  
Jan Schumann ◽  
Ulrich Harbecke ◽  
Daniel Sahnen ◽  
Thomas Polklas ◽  
Peter Jeschke ◽  
...  
Keyword(s):  
Secondary Flow ◽  
Steam Turbine ◽  
Design Process ◽  
Design Method ◽  
Computing Time ◽  
Leading Edge ◽  
Design Methods ◽  
Preliminary Design ◽  
Line Design ◽  
Radial Equilibrium

The subject of the presented paper is the validation of a design method for HP and IP steam turbine stages. Common design processes have been operating with simplified design methods in order to quickly obtain feasible stage designs. Therefore, inaccuracies due to assumptions in the underlying methods have to be accepted. The focus of this work is to quantify the inaccuracy of a simplified design method compared to 3D Computational Fluid Dynamics (CFD) simulations. Short computing time is very convenient in preliminary design; therefore, common design methods work with a large degree of simplification. The origin of the presented analysis is a mean line design process, dealing with repeating stage conditions. Two features of the preliminary design are the stage efficiency, based on loss correlations, and the mechanical strength, obtained by using the beam theory. Due to these simplifications, only a few input parameters are necessary to define the primal stage geometry and hence, the optimal design can easily be found. In addition, by using an implemented law to take the radial equilibrium into account, the appropriate twist of the blading can be defined. However, in comparison to the real radial distribution of flow angles, this method implies inaccuracies, especially in regions of secondary flow. In these regions, twisted blades, developed by using the simplified radial equilibrium, will be exposed to a three-dimensional flow, which is not considered in the design process. The analyzed design cases show that discrepancies at the hub and shroud section do exist, but have minor effects. Even the shroud section, with its thinner leading-edge, is not vulnerable to these unanticipated flow angles.

Developing Design Requirements from Cognitive Task Data: Replacing Magic with Methodology

1998 ◽  
Vol 42 (3) ◽  
pp. 291-294
Author(s):  
Christopher R. Hale ◽  
Anna L. Rowe
Keyword(s):  
Design Process ◽  
Interaction Design ◽  
Interface Design ◽  
Design Problem ◽  
Cognitive Task ◽  
Three Dimensions ◽  
Ecological Interface Design ◽  
Engineering Data ◽  
User Data ◽  
Design Requirements

This symposium addresses the challenge of translating user data to specifications suitable for interface development. Four methodologies will be presented: Decision requirements tables, ecological interface design, object-view and interaction design and procedural networks. These four methodologies will be contrasted relative to three dimensions: (1) type of data used in analysis, (2) point in the design process at which each methodology focuses its impact and (3) the formalisms each uses for translating psychological data into engineering data suitable for specification development. Our introductory remarks will elaborate on these three dimensions, and present an example design problem. The four session participants then will present their respective methodologies, how each addresses the three dimensions and how each can be used to address the example design problem.

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