Purpose

Many individuals with communication impairments use aided augmentative and alternative communication (AAC) systems involving letters, words, or line drawings that rely on the visual modality. It seems reasonable to suggest that display design should incorporate information about how users attend to and process visual information. The organization of AAC symbols can influence the speed and accuracy with which children select a target symbol on a display. This research examined why some displays facilitate responding.

Method

Eye-tracking technology recorded point-of-gaze while children without disabilities engaged in a visual search task with 2 AAC displays. In 1 display, symbols sharing an internal color were clustered together. In the other display, like-colored symbols were distributed. Dependent measures were (a) latency to fixate on the target compared with distracters and (b) the number of fixations to target and distracters.

Results

Participants were significantly slower to fixate on the target when like-colored symbols were distributed; there was a significant increase in the number of fixations to distracters that did not share color with the target.

Conclusions

Efficient search was related to minimizing fixations to nonrelevant distracters. Vulnerability to distraction can be a significant problem in individuals with disabilities who use AAC. Minimizing the intrusion of such distraction may, therefore, be of importance in AAC display design.

References

  • Ambrosini, E., Sinigaglia, C., & Constantini, M. (2012). Tie my hands, tie my eyes.Journal of Experimental Psychology: Human Perception and Performance, 38, 263–266.
  • American Speech-Language-Hearing Association. (2005). Roles and responsibilities of speech-language pathologists with respect to augmentative and alternative communication: Position statement. Available from www.asha.org/policy
  • American Speech-Language-Hearing Association. (2007). Scope of practice in speech-language pathology [Scope of Practice]. Available from www.asha.org/policy
  • Beukelman, D. R., & Mirenda, P. (2005). Augmentative and alternative communication: Supporting children and adults with complex communication needs (3rd ed.). Baltimore, MD: Brookes.
  • Burack, J. A. (1994). Selective attention deficits in persons with autism: Preliminary evidence of an inefficient attentional lens.Journal of Abnormal Psychology, 103, 535–543.
  • Carlin, M. T., Soraci, S. A., Debbis, N. A., Strawbridge, C., & Chechile, N. A. (2002). Guided visual search in individuals with mental retardation.American Journal of Mental Retardation, 107, 237–251.
  • Fallon, K., Light, J., & Achenbach, A. (2003). The semantic organization patterns of young children: Implications for augmentative and alternative communication.Augmentative and Alternative Communication, 19, 74–85.
  • Goldstein, E. B. (2008). Cognitive psychology: Connecting mind, research, and everyday experience (2nd ed.). Belmont, CA: Thomson Learning.
  • Greene, M. R., & Oliva, A. (2010). High-level aftereffects to global scene properties.Journal of Experimental Psychology: Human Perception and Performance, 36, 1430–1442.
  • Griffin, Z., & Oppenheimer, D. M. (2006). Speakers gaze at objects while preparing intentionally inaccurate labels for them.Journal of Experimental Psychology: Learning, Memory, and Cognition, 32, 943–948.
  • Hanna, A., & Remington, R. (1996). The representation of color and form in long-term memory.Memory and Cognition, 24, 322–330.
  • Heuer, S., & Hallowell, B. (2007). An evaluation of multiple-choice test images for comprehension assessment in aphasia.Aphasiology, 21, 883–900.
  • Heuer, S., & Hallowell, B. (2009). Visual attention in a multiple choice task: Influences of image characteristics with and without presentation of a verbal stimulus.Aphasiology, 23, 351–363.
  • Higginbotham, D. J. (1995). Use of nondisabled subjects in AAC research: Confessions of a research infidel.Augmentative and Alternative Communication, 11, 2–5.
  • Hollingworth, A., Richard, A. M., & Luck, S. J. (2008). Understanding the function of visual short-term memory: Transsaccadic memory, object correspondance, and gaze correction.Journal of Experimental Psychology: General, 137, 163–181.
  • Hyun, J., Woodman, G. F., Vogel, E. K., Hollingworth, A., & Luck, S. J. (2009). The comparison of working memory representations with perceptual inputs.Journal of Experimental Psychology: Human Perception and Performance, 35, 1140–1160.
  • Ito, K., Nobuyuki, J., Minai, U., Yamane, N., & Mazuka, R. (2012). Intonation facilitates conflict resolution: Evidence from Japanese adults and 6-year-olds.Journal of Memory and Language, 66, 265–284.
  • Kaptein, N. A., Theeuwes, J., & van der Heijden, A. H. C. (1995). Search for a conjunctively defined target can be selectively limited to a color-defined subset of elements.Journal of Experimental Psychology: Human Perspectives and Performance, 21, 1053–1069.
  • Karatekin, C., White, T., & Bingham, C. (2008). Divided attention in youth-onset psychosis and attention deficit/hyperactivity disorder.Journal of Abnormal Psychology, 117, 881–895.
  • Lanfranchi, S., Carretti, B., Spano, G., & Cornoldi, C. (2009). A specific deficit in visuospatial simultaneous working memory in Down syndrome.Journal of Intellectual Disability Research, 53, 474–483.
  • Lanfranchi, S., Jerman, O., Dal Pont, E., Alberti, A., & Vianello, R. (2010). Executive function in adolescents with Down syndrome.Journal of Intellectual Disability Research, 54, 308–319.
  • Lee, V., & Kuhlmeier, V. A. (2013). Young children show a dissociation in looking and pointing behavior in falling events.Cognitive Development, 28, 21–30.
  • Lochmuehler, K., Otten, R., Voogd, H., & Engels, R. (2012). Parental smoking and children's attention to smoking cues.Journal of Psychopharmacology, 26, 1010–1016.
  • Madera, J. M., & Hebl, M. R. (2012). Discrimination against facially stigmatized applicants in interviews: An eye-tracking and face-to-face investigation.Journal of Applied Psychology, 97, 317–330.
  • Mayer-Johnson, R. (1992). The Picture Communication Symbols. Solana Beach, CA: Mayer-Johnson.
  • Munir, F., Cornish, K. M., & Wilding, J. (2000). A neuropsychological profile of attention deficits in young males with fragile X syndrome.Neuropsychologia, 38, 1261–1270.
  • Nagy, A. L., Young, T., & Nerinani, K. (2004). Combining information in different color-coding mechanisms to facilitate visual search.Vision Research, 44, 2971–2980.
  • Odekar, A., Hallowell, B., Kruse, H., Moates, D., & Lee, C. (2009). Validity of eye movement methods and indices for capturing semantic (associative) priming effects.Journal of Speech, Language, and Hearing Research, 52, 31–48.
  • Pelphrey, K. A., Reznick, S., Goldman, B. D., Sasson, N., Morrow, J., Donahoe, A., & Hodgson, K. (2004). Development of visuospatial short-term memory in the second half of the first year.Developmental Psychology, 40, 836–851.
  • Price, C., & Humphreys, G. (1989). The effects of surface detail on object categorization and naming.Quarterly Journal of Experimental Psychology, 41A, 797–828.
  • Sasson, N. J., Elison, J. T., Turner-Brown, L. M., Dichter, G. S., & Bodfish, J. W. (2011). Brief report: Circumscribed attention in young children with autism.Journal of Autism and Developmental Disorders, 41, 242–247.
  • Shulz, M. F., & Sanocki, T. (2003). The course of perceptual grouping by color.Psychological Science, 14(1), 26–30.
  • Smilek, D., Dixon, M. J., & Merikle, P. M. (2006). Revisiting the category effect: The influence of meaning and search strategy on the efficiency of visual search.Brain Research, 1080, 73–90.
  • Swallow, K. M., Zacks, J. M., & Abrams, R. A. (2009). Event boundaries in perception affect memory encoding and updating.Journal of Experimental Psychology: General, 138, 236–257.
  • Treisman, A. M. (1988). Features and objects: The 14th Bartlett Memorial Lecture.Quarterly Journal of Experimental Psychology, 2, 201–237.
  • Treisman, A. M., & Gelade, G. (1980). A feature-integration theory of attention.Cognitive Psychology, 12, 97–136.
  • Wilkinson, K., Carlin, M., & Jagaroo, V. (2006). Preschoolers' speed of locating a target symbol under different color conditions.Augmentative and Alternative Communication, 22, 123–133.
  • Wilkinson, K., Carlin, M., & Thistle, J. (2008). The role of color cues in facilitating accurate and rapid location of aided symbols by children with and without Down syndrome.American Journal of Speech-Language Pathology, 17, 179–193.
  • Wilkinson, K., & Jagaroo, V. (2004). Contributions of principles of visual cognitive science to AAC system design display.Augmentative and Alternative Communication, 20, 123–136.
  • Wilkinson, K., & McIlvane, W. J. (2013). Perceptual factors influence visual search for meaningful symbols in individuals with intellectual disabilities and Down syndrome or autism spectrum disorders.American Journal on Intellectual and Developmental Disabilities, 118, 353–364.
  • Wolfe, J. M. (2012). Establishing the field: Treisman and Gelade (1980).In J. M. Wolfe, & L. Robertson (Eds.), From perception to consciousness: Searching with Anne Treisman (pp. 97–103). New York, NY: Oxford University Press.
  • Wolfe, J. M., Cave, K. R., & Franzel, S. L. (1989). Guided search: An alternative to the feature integration model for visual search.Journal of Experimental Psychology: Human Perception and Performance, 15, 419–433.
  • Wolfe, J. M., & Horowitz, T. S. (2004). What attributes guide the deployment of visual attention and how do they do it?.Nature Reviews Neuroscience, 5, 1–7.
  • Wolfe, J. M., Palmer, E. M., & Horowitz, T. S. (2010). Reaction time distributions constrain models of visual search.Vision Research, 50, 1304–1311.
  • Wurm, L. H., Legge, G. E., Isenberg, L. M., & Luebker, A. (1993). Color improves object recognition in normal and low vision.Journal of Experimental Psychology: Human Perception and Performance, 19, 899–911.

Additional Resources