From Basic to Applied Research to Improve Outcomes for Individuals Who Require Augmentative and Alternative Communication: 
Potential Contributions of Eye Tracking Research Methods

References

• Batorowicz, B., McDougall, S., & Shepherd, T. A. (2006). AAC and community partnerships: The participation path to community inclusion. Augmentative and Alternative Communication, 22,
178–195.
   PubMed Web of Science ®Google Scholar
• Beukelman, D. R., Fager, S., Ball, L., & Dietz, A. (2007). AAC for adults with acquired neurological conditions: A review. Augmentative and Alternative Communication, 23, 230–242.
   PubMed Web of Science ®Google Scholar
• Beukelman, D., & Mirenda, P. (2013). Augmentative and alternative communication: Supporting children and adults with complex communication needs (4th ed.). Baltimore, MD: Paul H. Brookes.
   Google Scholar
• Bopp, K. D., Brown, K. E., & Mirenda, P. (2004). Speech-language pathologists’ roles in the delivery of positive behavior support for individuals with developmental disabilities. American Journal of Speech-Language Pathology, 13, 5–19.
   PubMed Web of Science ®Google Scholar
• Brady, N. C., Anderson, C. J., Hahn, L. J., Obermeier, S. M., & Kapa, L. L. (2014). Eye tracking as a measure of receptive vocabulary in children with autism spectrum disorders. Augmentative and Alternative Communication, 30, 147–159.
   PubMed Web of Science ®Google Scholar
• Branson, D., & Demchak, M. (2009). The use of augmentative and alternative communication methods with infants and toddlers with disabilities: A research review. Augmentative and Alternative Communication, 25, 274–286.
   PubMed Web of Science ®Google Scholar
• Chung, Y. C., & Carter, E. W. (2013). Promoting peer interactions in inclusive classrooms for students who use speech-generating devices. Research and Practice for Persons with Severe Disabilities, 38, 94–109.
   Web of Science ®Google Scholar
• Chung, Y. C., Carter, E. W., & Sisco, L. G. (2012). Social interactions of students with disabilities who use augmentative and alternative communication in inclusive classrooms. American Journal on Intellectual and Developmental Disabilities, 117, 349–367.
   PubMedGoogle Scholar
• De Bordes, P. F., Cox, R. F., Hasselman, F., & Cillessen, A. H. (2013). Toddlers’ gaze following through attention modulation: Intention is in the eye of the beholder. Journal of Experimental Child Psychology, 116, 443–452.
   Google Scholar
• Dube, W. V., & Wilkinson, K. M. (2014). The potential role of “stimulus overselectivity” in AAC: information from eye-tracking and behavioral studies of attention. Augmentative and Alternative Communication, 30, 172–185.
   Web of Science ®Google Scholar
• Dukhovny, E., & Soto, G. (2013). Speech generating devices and modality of short term word storage. Augmentative and Alternative Communication, 29, 246–258.
   PubMed Web of Science ®Google Scholar
• Fletcher-Watson, S., Leekam, S. R., Benson, V., Frank, M. C., & Findlay, J. M. (2009). Eye movements reveal attention to social information in autism spectrum disorder. Neuropsychologia, 47, 248–257.
   PubMed Web of Science ®Google Scholar
• Fried-Oken, M., Beukelman, D. R., & Hux, K. (2012). Current and future AAC research considerations for adults with acquired cognitive and communication impairments. Assistive Technology, 24, 56–66.
   Web of Science ®Google Scholar
• Ganz, J. B., Earles-Vollrath, T. L., Mason, R. A., Rispoli, M. J., Heath, A. K., & Parker, R. I. (2011). An aggregate study of single-case research involving aided AAC: Participant characteristics of individuals with autism spectrum disorders. Research in Autism Spectrum Disorders, 5, 1500–1509.
   Web of Science ®Google Scholar
• Gillespie-Smith, K., & Fletcher-Watson, S. (2014). Designing AAC systems for children with autism: Evidence from eye tracking research. Augmentative and Alternative Communication, 30, 160–171.
   Web of Science ®Google Scholar
• Hanson, E., Beukelman, D.R., & Yorkston, K. (2013). Communication support through multimodal supplementation: A scoping review. Augmentative and Alternative Communication, 29, 310–321.
   PubMed Web of Science ®Google Scholar
• Higginbotham, D. J., Shane, H., Russell, S., & Caves, K. (2007). Access to AAC: Present, past, and future. Augmentative and Alternative Communication, 23, 243–257.
   PubMed Web of Science ®Google Scholar
• Hunt-Berg, M. (2005). The Bridge School: Educational inclusion outcomes over 15 years. Augmentative and Alternative Communication, 21, 116–131.
   Web of Science ®Google Scholar
• Ito, K., Jincho, N., Minai, U., Yamane, N., & Mazuka, R. (2012). Intonation facilitates contrast resolution: Evidence from Japanese adults and 6-year olds. Journal of Memory and Language, 66, 265–284.
   Web of Science ®Google Scholar
• Karetekin, C. (2007). Eye tracking studies of normative and atypical development. Developmental Review, 27, 283–348.
   Google Scholar
• Lee, V., & Kuhlmeier, V. A. (2013). Young children show a dissociation in looking and pointing behavior in falling events. Cognitive Development, 28, 21–30.
   Web of Science ®Google Scholar
• Light, J. & McNaughton, D. (2013). Putting people first: Re-thinking the role of technology in augmentative and alternative communication intervention. Augmentative and Alternative Communication, 29, 299–309.
   PubMed Web of Science ®Google Scholar
• Light, J. & McNaughton, D. (2014). Communicative competence for individuals who require augmentative and alternative communication: A new definition for a new era of communication?Augmentative and Alternative Communication, 30, 1–18.
   PubMed Web of Science ®Google Scholar
• Lochbuehler, K., Otten, R., Voogd, H., & Engels, R. C. (2012). Parental smoking and children's attention to smoking cues. Journal of Psychopharmacology, 26, 1010–1016.
   Google Scholar
• Machalicek, W., Sanford, A., Lang, R., Rispoli, M., Molfenter, N., & Mbeseha, M. K. (2010). Literacy interventions for students with physical and developmental disabilities who use aided AAC devices: A systematic review. Journal of Developmental and Physical Disabilities, 22, 219–240.
   Web of Science ®Google Scholar
• Mani, N., Johnson, E., McQueen, J. M., & Huettig, F. (2013). How yellow is your banana? Toddlers’ language-mediated visual search in referent-present tasks. Developmental Psychology, 49, 1036.
   PubMed Web of Science ®Google Scholar
• McNaughton, D., & Bryen, D. N. (2007). AAC technologies to enhance participation and access to meaningful societal roles for adolescents and adults with developmental disabilities who require AAC. Augmentative and Alternative Communication, 23, 217–229.
   PubMed Web of Science ®Google Scholar
• Mechling, L. C., & Cronin, B. (2006). Computer-based video instruction to teach the use of augmentative and alternative communication devices for ordering at fast-food restaurants. The Journal of Special Education, 39, 234–245.
   Web of Science ®Google Scholar
• Millar, D. C., Light, J. C., & Schlosser, R. W. (2006). The impact of augmentative and alternative communication intervention on the speech production of individuals with developmental disabilities: A research review. Journal of Speech, Language and Hearing Research, 49, 248–264.
   PubMed Web of Science ®Google Scholar
• Navab, A., Gillespie-Lynch, K., Johnson, S. P., Sigman, M., & Hutman, T. (2012). Eye-tracking as a measure of responsiveness to joint attention in infants at risk for autism. Infancy, 17, 416–431.
   PubMed Web of Science ®Google Scholar
• Riby, D. M., & Hancock, P. J. B. (2008). Viewing it differently: Social scene perception in Williams syndrome and autism. Neuropsychology, 46, 2855–2860.
   Google Scholar
• Riby, D. M., & Hancock, P. J. B. (2009). Do faces capture the attention of individuals with Williams syndrome and autism? Evidence from eye tracking movements.Journal of Autism and Developmental Disorder, 39, 421–431.
   PubMed Web of Science ®Google Scholar
• Roche, L., Sigafoos, J., Lancioni, G. E., O’Reilly, M. F., Green, V. A., Sutherland, D., .. Edrisinha, C. D. (2014). Tangible symbols as an AAC option for individuals with developmental disabilities: A systematic review of intervention studies.Augmentative and Alternative Communication,30, 28–39.
   PubMed Web of Science ®Google Scholar
• Romski, M. A., Sevcik, R. A., Adamson, L. B., Cheslock, M., Smith, A., Barker, R. M., & Bakeman, R. (2010). Randomized comparison of augmented and nonaugmented language interventions for toddlers with developmental delays and their parents. Journal of Speech, Language, and Hearing Research, 53, 350–364.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Schlosser, R., Sigafoos, J., & Koul, R. (2009). Speech output and speech-generating devices in autism spectrum disorders. In 
P. Mirenda & T. Iacono (Eds.), Autism spectrum disorders and AAC (pp. 141–170). Baltimore, MD: Paul H. Brookes.
   Google Scholar
• Stancliffe, R. J., Larson, S., Auerbach, K., Engler, J., Taub, S., & Lakin, K. C. (2010). Individuals with intellectual disabilities and augmentative and alternative communication: Analysis of survey data on uptake of aided AAC, and loneliness experiences. Augmentative and Alternative Communication, 26, 87–96.
   PubMed Web of Science ®Google Scholar
• Stanovich, K. (2007). How to think straight about psychology. Boston, MA: Allyn & Bacon.
   Google Scholar
• Thiessen, A., Beukelman, D., & Brown, J. (2014). The effects of two types of engagement on visual attention for adults who have sustained traumatic brain injuries. Manuscript submitted for publication.
   Google Scholar
• Thiessen, A., Beukelman, D., Ullman, C., & Longenecker, M. (2014). Measurement of the visual attention patterns of people with aphasia: A preliminary investigation of two types of human engagement in photographic images. Augmentative and Alternative Communication, 30, 120–129.
   PubMed Web of Science ®Google Scholar
• Trembath, D., Balandin, S., Togher, L., & Stancliffe, R. J. (2010). The experiences of adults with complex communication needs who volunteer. Disability & Rehabilitation, 32, 885–898.
   PubMed Web of Science ®Google Scholar
• Walker, V. L., & Snell, M. E. (2013). Effects of augmentative and alternative communication on challenging behavior: A meta-analysis. Augmentative and Alternative Communication, 29, 
117–131.
   PubMed Web of Science ®Google Scholar
• Wendt, O. (2009). Research on the use of manual signs and graphic symbols in autism spectrum disorders: A systematic review. In P. Mirenda & T. Iacono (Eds.), Autism spectrum disorders and AAC (pp. 83–140). Baltimore, MD: Brookes.
   Google Scholar
• Wilkinson, K. M., & Jagaroo, V. (2004). Contributions of principles of visual cognitive science to AAC system display design.Augmentative and Alternative Communication,20, 123–136.
   Google Scholar
• Wilkinson, K. M., & Light, J. (2011). Preliminary investigation of visual attention to human figures in photographs: Potential considerations for the design of aided AAC visual scene displays. Journal of Speech-Language-Hearing Research, 54, 1644–1657.
   PubMed Web of Science ®Google Scholar
• Wilkinson, K. M., & Light, J. (2014). Preliminary study of gaze toward humans in photographs by individuals with autism, Down syndrome, or other intellectual disabilities: Implications for design of Visual Scene Displays. Augmentative and Alternative Communication, 30, 130–146.
   PubMed Web of Science ®Google Scholar
• Wilkinson, K. M., Light, J., & Drager, K. (2012). Considerations for the composition of Visual Scene Displays: Potential contributions of information from visual and cognitive sciences.Augmentative and Alternative Communication,28, 137–147.
   PubMed Web of Science ®Google Scholar
• Wilkinson, K. M., & Mitchell, T. (2014). Eye tracking research to answer questions about augmentative and alternative communication assessment and intervention. Augmentative and Alternative Communication, 30, 106–119.
   PubMed Web of Science ®Google Scholar
• Wilkinson, K., O’Neill, T., & McIlvane, W. J. (2014). Eye-tracking measures reveal how changes in the design of aided AAC displays influence the efficiency of locating symbols by school-aged children without disabilities. Journal of Speech, Language, and Hearing Research, early on line, doi:10.1044/2013_JSLHR–L–12–0159
   Google Scholar