Dataset Information

Judgments of Emotion in Clear and Conversational Speech by Young Adults With Normal Hearing and Older Adults With Hearing Impairment.

ABSTRACT: Purpose:In this study, we investigated the emotion perceived by young listeners with normal hearing (YNH listeners) and older adults with hearing impairment (OHI listeners) when listening to speech produced conversationally or in a clear speaking style. Method:The first experiment included 18 YNH listeners, and the second included 10 additional YNH listeners along with 20 OHI listeners. Participants heard sentences spoken conversationally and clearly. Participants selected the emotion they heard in the talker's voice using a 6-alternative, forced-choice paradigm. Results:Clear speech was judged as sounding angry and disgusted more often and happy, fearful, sad, and neutral less often than conversational speech. Talkers whose clear speech was judged to be particularly clear were also judged as sounding angry more often and fearful less often than other talkers. OHI listeners reported hearing anger less often than YNH listeners; however, they still judged clear speech as angry more often than conversational speech. Conclusions:Speech spoken clearly may sound angry more often than speech spoken conversationally. Although perceived emotion varied between YNH and OHI listeners, judgments of anger were higher for clear speech than conversational speech for both listener groups. Supplemental Materials:https://doi.org/10.23641/asha.5170717.

SUBMITTER: Morgan SD

PROVIDER: S-EPMC5829803 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Judgments of Emotion in Clear and Conversational Speech by Young Adults With Normal Hearing and Older Adults With Hearing Impairment.

Morgan Shae D SD Ferguson Sarah Hargus SH

Journal of speech, language, and hearing research : JSLHR 20170801 8

<h4>Purpose</h4>In this study, we investigated the emotion perceived by young listeners with normal hearing (YNH listeners) and older adults with hearing impairment (OHI listeners) when listening to speech produced conversationally or in a clear speaking style.<h4>Method</h4>The first experiment included 18 YNH listeners, and the second included 10 additional YNH listeners along with 20 OHI listeners. Participants heard sentences spoken conversationally and clearly. Participants selected the emo ...[more]

PMID: 28687824

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Project description:BACKGROUND:Detecting early signs of Alzheimer's disease (AD) and mild cognitive impairment (MCI) during the pre-symptomatic phase is becoming increasingly important for costeffective clinical trials and also for deriving maximum benefit from currently available treatment strategies. However, distinguishing early signs of MCI from normal cognitive aging is difficult. Biomarkers have been extensively examined as early indicators of the pathological process for AD, but assessing these biomarkers is expensive and challenging to apply widely among pre-symptomatic community dwelling older adults. Here we propose assessment of social markers, which could provide an alternative or complementary and ecologically valid strategy for identifying the pre-symptomatic phase leading to MCI and AD. METHODS:The data came from a larger randomized controlled clinical trial (RCT), where we examined whether daily conversational interactions using remote video telecommunications software could improve cognitive functions of older adult participants. We assessed the proportion of words generated by participants out of total words produced by both participants and staff interviewers using transcribed conversations during the intervention trial as an indicator of how two people (participants and interviewers) interact with each other in one-on-one conversations. We examined whether the proportion differed between those with intact cognition and MCI, using first, generalized estimating equations with the proportion as outcome, and second, logistic regression models with cognitive status as outcome in order to estimate the area under ROC curve (ROC AUC). RESULTS:Compared to those with normal cognitive function, MCI participants generated a greater proportion of words out of the total number of words during the timed conversation sessions (p=0.01). This difference remained after controlling for participant age, gender, interviewer and time of assessment (p=0.03). The logistic regression models showed the ROC AUC of identifying MCI (vs. normals) was 0.71 (95% Confidence Interval: 0.54 - 0.89) when average proportion of word counts spoken by subjects was included univariately into the model. CONCLUSION:An ecologically valid social marker such as the proportion of spoken words produced during spontaneous conversations may be sensitive to transitions from normal cognition to MCI.

Project description:Background: Detecting early signs of Alzheimer’s disease (AD) and mild cognitive impairment (MCI) during the pre-symptomatic phase is becoming increasingly important for cost-effective clinical trials and also for deriving maximum benefit from currently available treatment strategies. However, distinguishing early signs of MCI from normal cognitive aging is difficult. Biomarkers have been extensively examined as early indicators of the pathological process for AD, but assessing these biomarkers is expensive and challenging to apply widely among pre-symptomatic community dwelling older adults. Here we propose assessment of social markers, which could provide an alternative or complementary and ecologically valid strategy for identifying the pre-symptomatic phase leading to MCI and AD. Methods: The data came from a larger randomized controlled clinical trial (RCT), where we examined whether daily conversational interactions using remote video telecommunications software could improve cognitive functions of older adult participants. We assessed the proportion of words generated by participants out of total words produced by both participants and staff interviewers using transcribed conversations during the intervention trial as an indicator of how two people (participants and interviewers) interact with each other in one-on-one conversations. We examined whether the proportion differed between those with intact cognition and MCI, using first, generalized estimating equations with the proportion as outcome, and second, logistic regression models with cognitive status as outcome in order to estimate the area under ROC curve (ROC AUC). Results: Compared to those with normal cognitive function, MCI participants generated a greater proportion of words out of the total number of words during the timed conversation sessions (p=0.01). This difference remained after controlling for participant age, gender, interviewer and time of assessment (p=0.03). The logistic regression models showed the ROC AUC of identifying MCI (vs. normals) was 0.71 (95% Confidence Interval: 0.54 – 0.89) when average proportion of word counts spoken by subjects was included univariately into the model. Conclusion: An ecologically valid social marker such as the proportion of spoken words produced during spontaneous conversations may be sensitive to transitions from normal cognition to MCI.

Dataset Information

Judgments of Emotion in Clear and Conversational Speech by Young Adults With Normal Hearing and Older Adults With Hearing Impairment.

Publications

Judgments of Emotion in Clear and Conversational Speech by Young Adults With Normal Hearing and Older Adults With Hearing Impairment.

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