8. Spoken Dialogue Interfaces for Older People
Abstract
Although speech is a highly natural mode of communication, building robust and usable speech-based interfaces is still a challenge, even if the target user group is restricted to younger users. When designing for older users, there are added complications due to cognitive, physiological, and anatomical ageing. Users may also find it difficult to adapt to the interaction style required by the speech interface. In this chapter, we summarise the work on spoken dialogue interfaces that was carried out during the MATCH project. After a brief overview of relevant aspects of ageing and previous work on spoken dialogue interfaces for older people, we summarise our work on managing spoken interactions (dialogue management), understanding older people's speech (speech recognition), and generating spoken messages that older people can understand (speech synthesis). We conclude with suggestions for design guidelines that have emerged from our work and suggest directions for future research.
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Wide-focus questions are cognitively heavier than contrasted and narrow questions.
“Widefocus questions are cognitively heavier than contrasted and narrow questions (e.g., do you like music or theater more? [24])”
From Field evaluation with cognitively-impaired older adults of attention management in the Embodied Conversational Agent Louise (2016) · cites this paper as [24]
Cites
Deary, I. J., Whiteman, M. C., Starr, J. M., Whalley, L. J., & Fox, H. C. (2004) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.86.1.130 · Cited by 809 · see citing works
Lifespan CognitionMechanisms of Change
Bialystok, E., & Craik, F. I. M. (2006) · doi:10.1093/acprof:oso/9780195169539.001.0001 · Cited by 525 · see citing works
Reducing working memory load in spoken dialogue systems
Wolters, M., Georgila, K., Moore, J. D., Logie, R. H., MacPherson, S. E., & Watson, M. (2009) · Interacting with Computers · doi:10.1016/j.intcom.2009.05.009 · Cited by 61 · cited 3× · see citing works
“We tested two strategies for reducing working memory load [1]: reducing the number of options (four alternatives, two alternatives, yes/no); and confirming agreed information (explicit confirmation dialogues, implicit confirmations where agreed information is merely repeated, no confirmations).”
BackgroundMethodSelf-citationSpeech Input from Older Users in Smart Environments: Challenges and Perspectives
Vipperla, R., Wolters, M., Georgila, K., & Renals, S. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-02710-9_14 · Cited by 37 · see citing works
Self-citationA comparison of broad versus deep auditory menu structures
Commarford, P. M., Lewis, J. R., Smither, J. A.-A., & Gentzler, M. D. (2008) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872008x250665 · Cited by 26 · cited 1× · see citing works
“In this case, presenting more options at a time is better, especially for users with low working memory capacity [35].”
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Wargnier, P., Carletti, G., Laurent-Corniquet, Y., Benveniste, S., Jouvelot, P., & Rigaud, A.-S. (2016) · 2016 IEEE International Conference on Serious Games and Applications for Health (SeGAH) · doi:10.1109/segah.2016.7586282 · Cited by 28 · see citing works
- Authors
- Ravichander, V., Maria, W., & Steve, R.
- Venue
- Assistive Technology Research Series
- Publisher
- IOS Press
- Published
- 2012
- Pages
- 118-137
- ISSN
- 1383-813X
- OpenAlex
- W1594385040
- Cited by
- 15
- References
- 5
- Citations by year
- 2016: 3 · 2015: 3 · 2014: 7 · 2013: 2
- FWCI
- 6.82
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- IOS Press eBooks (publishedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/G060614/1)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Demography › Technology Use by Older Adults
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- older adults, aging, dialogue management, speech recognition, speech synthesis, design guidelines, speech-based interaction
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