Aging, Audiovisual Integration, and the Principle of Inverse Effectiveness

Objective The purpose of this investigation was to compare the ability of young and older adults to integrate auditory and visual sentence materials under conditions of good and poor signal clarity. The principle of inverse effectiveness (PoIE), which characterizes many neuronal and behavioral phenomena related to multisensory integration, asserts that as unimodal performance declines, integration is enhanced. Thus, the PoIE predicts that both young and older adults will show enhanced integration of auditory and visual speech stimuli when these stimuli are degraded. More importantly, because older adults' unimodal speech recognition skills decline in both the auditory and visual domains, the PoIE predicts that older adults will show enhanced integration during audiovisual speech recognition relative to younger adults. This study provides a test of these predictions. Design Fifty-three young and 53 older adults with normal hearing completed the closed-set Build-A-Sentence test and the CUNY Sentence test in a total of eight conditions; four unimodal and four audiovisual. In the unimodal conditions, stimuli were either auditory or visual and either easier or harder to perceive; the audiovisual conditions were formed from all the combinations of the unimodal signals. The hard visual signals were created by degrading video contrast, and the hard auditory signals were created by decreasing the signal to noise ratio. Scores from the unimodal and bimodal conditions were used to compute auditory enhancement and integration enhancement measures. Results Contrary to the PoIE, neither the auditory enhancement nor integration enhancement measures increased when signal clarity in the auditory or visual channel of audiovisual speech stimuli was decreased, nor was either measure higher for older adults than for young adults. In audiovisual conditions with easy visual stimuli, the integration enhancement measure for older adults was equivalent to that for young adults. However, in conditions with hard visual stimuli, integration enhancement for older adults was significantly lower than that for young adults. Conclusions The present findings do not support extension of the PoIE to audiovisual speech recognition. Our results are not consistent with either the prediction that integration would be enhanced under conditions of poor signal clarity or the prediction that older adults would show enhanced integration, relative to young adults. Although there is a considerable controversy with regard to the best way to measure audiovisual integration, the fact that two of the most prominent measures, auditory enhancement and integration enhancement, both yielded results inconsistent with the PoIE, strongly suggests that the integration of audiovisual speech stimuli differs in some fundamental way from the integration of other bimodal stimuli. The results also suggest that aging does not impair integration enhancement when the visual speech signal has good clarity, but may affect it when the visual speech signal has poor clarity.

[1]  T. Farrimond Age Differences in the Ability to Use Visual Cues in Auditory Communication , 1959 .

[2]  A. Diederich,et al.  Assessing age-related multisensory enhancement with the time-window-of-integration model , 2008, Neuropsychologia.

[3]  K. Grant,et al.  Auditory-visual speech recognition by hearing-impaired subjects: consonant recognition, sentence recognition, and auditory-visual integration. , 1998, The Journal of the Acoustical Society of America.

[4]  D. Massaro,et al.  Tests of auditory-visual integration efficiency within the framework of the fuzzy logical model of perception. , 2000, The Journal of the Acoustical Society of America.

[5]  Mitchell Sommers,et al.  Auditory-visual discourse comprehension by older and young adults in favorable and unfavorable conditions , 2008, International journal of audiology.

[6]  Denis G. Pelli,et al.  THE DESIGN OF A NEW LETTER CHART FOR MEASURING CONTRAST SENSITIVITY , 1988 .

[7]  John J. Foxe,et al.  Do you see what I am saying? Exploring visual enhancement of speech comprehension in noisy environments. , 2006, Cerebral cortex.

[8]  G. Studebaker A "rationalized" arcsine transform. , 1985, Journal of speech and hearing research.

[9]  M. Picheny,et al.  Speaking clearly for the hard of hearing. II: Acoustic characteristics of clear and conversational speech. , 1986, Journal of speech and hearing research.

[10]  Speech Perception by Elderly Listeners : Basic Knowledge and Implications for Audiology Perception de la parole par les personnes agees : connaissances de base et implications audiologiques , 2006 .

[11]  Harvey Fletcher,et al.  Speech and hearing in communication, 2nd ed. , 1953 .

[12]  J. Myerson,et al.  Converging evidence for domain-specific slowing from multiple nonlexical tasks and multiple analytic methods. , 1995, The journals of gerontology. Series B, Psychological sciences and social sciences.

[13]  M. Sommers,et al.  Auditory-Visual Speech Perception and Auditory-Visual Enhancement in Normal-Hearing Younger and Older Adults , 2005, Ear and hearing.

[14]  Mitchell Sommers,et al.  Auditory and Visual Lexical Neighborhoods in Audiovisual Speech Perception , 2007, Trends in amplification.

[15]  U. Rosenhall,et al.  Longitudinal study of changes in speech perception between 70 and 81 years of age. , 1991, Audiology : official organ of the International Society of Audiology.

[16]  J. Myerson,et al.  Analysis of group differences in processing speed: Brinley plots, Q-Q plots, and other conspiracies , 2003, Psychonomic bulletin & review.

[17]  Arlene Earley Carney,et al.  Auditory-Visual Speech Perception and Aging , 2002, Ear and hearing.

[18]  Sidney S. Simon,et al.  Merging of the Senses , 2008, Front. Neurosci..

[19]  J. Gilbert Speech Perception in Children , 1975 .

[20]  N. Holmes The Principle of Inverse Effectiveness in Multisensory Integration: Some Statistical Considerations , 2009, Brain Topography.

[21]  H. McGurk,et al.  Hearing lips and seeing voices , 1976, Nature.

[22]  K S Helfer,et al.  Auditory and auditory-visual recognition of clear and conversational speech by older adults. , 1998, Journal of the American Academy of Audiology.

[23]  L. Cronbach,et al.  How we should measure "change": Or should we? , 1970 .

[24]  P. Plath Speech recognition in the elderly. , 1990, Acta oto-laryngologica. Supplementum.

[25]  W. H. Sumby,et al.  Visual contribution to speech intelligibility in noise , 1954 .

[26]  K. Grant,et al.  Measures of auditory-visual integration for speech understanding: a theoretical perspective. , 2002, The Journal of the Acoustical Society of America.

[27]  Sharon Honnell Age and Speechreading Performance in Relation to Percent Correct, Eyeblinks, and Written Responses. , 1991 .

[28]  C. Schroeder,et al.  Neuronal Oscillations and Multisensory Interaction in Primary Auditory Cortex , 2007, Neuron.

[29]  D. Massaro Speech Perception By Ear and Eye: A Paradigm for Psychological Inquiry , 1989 .

[30]  M. Wallace,et al.  Enhanced multisensory integration in older adults , 2006, Neurobiology of Aging.

[31]  Harvey b. Fletcher,et al.  Speech and hearing in communication , 1953 .

[32]  J. Myerson,et al.  Cross-Modal Enhancement of Speech Detection in Young and Older Adults: Does Signal Content Matter? , 2011, Ear and hearing.