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Cited by 72Technology Use by Older AdultsUsability and User Interface DesignSpeech and dialogue systems

Effects of age, speech rate, and environmental support in using telephone voice menu systems

Sharit, Joseph, Czaja, Sara J., Nair, Sankaran, Lee, Chin Chin·2003·Human Factors The Journal of the Human Factors and Ergonomics Society
DOI 10.1518/hfes.45.2.234.27245
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Abstract

Age differences in the use of telephone menu systems were investigated in two experiments. Participants from three age groups (younger: 18-39; middle-aged: 40-59; older: 60+ years) were required to obtain specified information or perform some action using simulated voice menu systems. Measures reflecting task performance, menu navigation, and subjective responses were collected. The focus in Experiment 1 was on examining the effect of speech rate. Data from 196 participants indicated age differences in performance, especially for complex problems. There was no effect of speech rate on any of the performance measures. Experiment 2 examined two types of support devices: a screen phone and a graphical aid. Data from 114 participants indicated that the screen phone provided some benefits in navigational efficiency. In terms of performance, the older participants benefited more from the graphical aid and the younger participants performed better with the screen phone. Actual or potential applications of this research include guidance in the use of support devices that can reduce memory demands and the identification of appropriate speech rates.

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  • Once hearing, working memory, and selective attention were included in the model, age became irrelevant for predicting performance on IVR systems.

    “Once these factors had been included in the model, age became irrelevant.”

    From Reducing working memory load in spoken dialogue systems (2009) · cites this paper as Sharit et al., 2003

  • Hearing, working memory, and selective attention were good predictors of the variance in older users' performance on IVR systems.

    “For example, in their study of older people's use of IVR systems, Sharit et al. (2003) found that hearing, working memory, and selective attention were good predictors of the variance in users' performance.”

    From Reducing working memory load in spoken dialogue systems (2009) · cites this paper as Sharit et al., 2003

  • Sharit et al. (2003) found that graphical representations of the menu structure helped users plan their traversal of the IVR systems' menu structure.

    “Sharit et al. (2003) found that graphical representations of the menu structure helped users plan their traversal of the IVR systems' menu structure.”

    From Reducing working memory load in spoken dialogue systems (2009) · cites this paper as Sharit et al. (2003)

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Authors
Sharit, J., Czaja, S. J., Nair, S., & Lee, C. C.
Affiliations
University of Miami (US)
ORCID
Venue
Human Factors The Journal of the Human Factors and Ergonomics Society
Publisher
SAGE Publications
Published
2003-06
Volume
45
Issue
2
Pages
234-251
ISSN
  • 0018-7208 (ISSN-L)
  • 1547-8181
DOI
10.1518/hfes.45.2.234.27245
OpenAlex
W2168975903
Cited by
72
References
33
Citations by year
2026: 1 · 2024: 1 · 2023: 4 · 2022: 1 · 2021: 1 · 2020: 2 · 2018: 5 · 2017: 4 · 2016: 5 · 2015: 4 · 2014: 3 · 2013: 3 · 2012: 2
FWCI
8.85
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
  • Human Factors The Journal of the Human Factors and Ergonomics Society (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute on Aging (P01AG017211)
Topics
  • Social Sciences › Demography › Technology Use by Older Adults
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
Keywords
age differences, speech rate, older adults, menu navigation, graphical aids, environmental support, task performance, memory demand, voice user interface
MeSH terms
Adolescent, Adult, Age Factors, Aged, Aging, Data Display, Efficiency, Female, Humans, Male, Middle Aged, Speech, Task Performance and Analysis, Telephone, Voice, Information Storage and Retrieval

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