Development and Evaluation of Safety Symbols for Landscaping Products

Wisniewski, Elaine C.; Isaacson, Judith J.; Hall, Steven M.

doi:10.1037/e577982012-012

Cited by 2 publications

(3 citation statements)

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“…Much of the design effort is focused on predicting, modeling and validating future users' perceptions and comprehension of expert-designed warning symbols (Goldsworthy & Kaplan, 2006). Symbol design methods, such as the focus group and production methods, often involve human designers and focus group participants repetitiously evaluating and synthesizing new batches of symbols, sometimes with only small improvements over previous generations (Macbeth, Moroney, & Biers, 2000;Pettendorfer & Mont'alvao, 2006;Wisniewski, Isaacson, & Hall, 2007). These evaluation and re-synthesis tasks seem far more suited to artificial intelligence systems, such as evolutionary computation, than to human effort.…”

Section: Introductionmentioning

confidence: 99%

Using Hand Drawn Images to Determine Warning Symbol Design Parameters within Interactive Evolutionary Computation Software

Piper

Boelhouwer

Davis

et al. 2008

Proceedings of the Human Factors and Ergonomics Society Annual

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The purpose of this pilot study was to explore the feasibility of using hand drawn images to identify symbol components for incorporation into warning symbol design software. This software will use an interactive evolutionary computation (IEC) algorithm to generate and evolve symbols mathematically described by a set of numerical parameters. Therefore, participants (N = 100) ages 19–43 (x = 23.2) were recruited to determine these symbol design parameters. Participants were invited to hand draw warning symbols for three referents: fall from elevation, hearing protection, and hazardous atmosphere. A panel of design engineers determined 27 attributes were present in the fall from elevation, 19 in the hearing protection, and 25 in the hazardous atmosphere images. A direct clustering algorithm was used to determine which attributes, or symbol parameters, were most commonly present or conspicuously absent among the clustered image families. For the fall from elevation, hearing protection and hazardous atmosphere referents, the clustering algorithm identified six, four and four symbol parameters, respectively, primarily responsible for distinguishing one drawn symbol from another. Thus, these parameters will be included as evolvable genes in the IEC software.

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Section: Introductionmentioning

confidence: 99%

Using Hand Drawn Images to Determine Warning Symbol Design Parameters within Interactive Evolutionary Computation Software

Piper

Boelhouwer

Davis

et al. 2008

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

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“…Table 1 provides an overview of how these two realms of research may differ. Researchers may study communication approaches [7], subject matter [4], [8], and/or their audiences [6], [9] as they apply to an organization's situation.…”

mentioning

confidence: 99%

“…Some examples of workplace applied research reports do exist, but they are not easy to find. Examples of such resources include [7], [17]- [20].…”

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confidence: 99%

Preparing technical communication students for workplace practitioner research

Hovde

2017

2017 IEEE International Professional Communication Conference (ProComm)

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Practitioner research in technical communication differs from general or academic research. Technical communication students need to develop abilities to conduct research into subject matter, audience, and communication approaches within workplace contexts to meet situated needs. This article explores differences between the two realms of research and discusses implications for teaching practitioner research abilities. It closes with examples of and ideas for teaching practitioner research abilities to technical communication students. Such courses can provide students with crucial abilities and knowledge to guide decisions during the creation of technical communication products.

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Development and Evaluation of Safety Symbols for Landscaping Products

Cited by 2 publications

References 0 publications

Using Hand Drawn Images to Determine Warning Symbol Design Parameters within Interactive Evolutionary Computation Software

Using Hand Drawn Images to Determine Warning Symbol Design Parameters within Interactive Evolutionary Computation Software

Preparing technical communication students for workplace practitioner research

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