Identifying Performing and Under Performing Graphic Symbols for Verbs and Prepositions in Animated and Static Formats: A Research Note

The purpose of this study was to identify graphic symbols for verbs and prepositions that were performing and underperforming in static and animated formats in a recent experiment on the effects of animation on transparency, name agreement, and identification of graphic symbols. Variable-specific criteria were developed in order to define when a symbol is considered to be performing in terms of its transparency, name agreement, and identification accuracy. Additionally, across-variable heuristic criteria were developed that allowed classification of symbols into four categories: (a) performing exceptionally, (b) performing effectively, (c) performing adequately, and (d) performing inadequately. These criteria were applied to 24 symbols for verbs and 8 symbols for prepositions in both animated and static formats. Results indicated that the vast majority of the symbols performed adequately or better while a few did not. Potential reasons as to why some of the symbols may have underperformed are discussed. Where appropriate, implications for modifying existing symbols and future research are drawn. Although the fact that the heuristic criteria were developed post-hoc is discussed as a limitation, the benefits of the proposed categories bode well for future applications.

[1]  Jan L. Bedrosian,et al.  Limitations in the use of nondisabled subjects in AAC research , 1995 .

[2]  Ralf W. Schlosser,et al.  Selecting graphic symbols for an initial request lexicon: integrative review , 2002 .

[3]  D. Jeffery Higginbotham,et al.  Use of nondisabled subjects in AAC research: Confessions of a research infidel , 1995 .

[4]  Christopher A. Pennington,et al.  Moving Targets: The Effect of Animation on Identification of Action Word Representations , 2008, Augmentative and alternative communication.

[5]  Holly E. Hancock,et al.  Safety Symbol Comprehension: Effects of Symbol Type, Familiarity, and Age , 2004, Hum. Factors.

[6]  J. Stephenson Iconicity in the Development of Picture skills: Typical Development and Implications for Individuals with Severe Intellectual Disabilities , 2009, Augmentative and alternative communication.

[7]  Howard Shane,et al.  Animation of graphic symbols representing verbs and prepositions: effects on transparency, name agreement, and identification. , 2012, Journal of speech, language, and hearing research : JSLHR.

[8]  Roger S. Brown,et al.  Why Are Signed Languages Easier to Learn than Spoken Languages? Part Two , 1978 .

[9]  Helen Arvidson,et al.  Augmentative and Alternative Communication: A Handbook of Principles and Practices , 1997 .

[10]  L. Lloyd,et al.  Augmentative and alternative communication: An historic perspective , 1994 .

[11]  E. Alant,et al.  Translucency and Learnability of Blissymbols in Setswana-speaking Children: An Exploration , 2009, Augmentative and alternative communication.

[12]  K. Wilkinson,et al.  Further Considerations of visual cognitive neuroscience in aided AAC: The potential role of motion perception systems in maximizing design display , 2008, Augmentative and alternative communication.

[13]  D. Beukelman,et al.  Augmentative & Alternative Communication: Supporting Children & Adults With Complex Communication Needs , 2006 .