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Reducing working memory load in spoken dialogue systems
Authors:Maria Wolters   Kallirroi Georgila   Johanna D. Moore   Robert H. Logie   Sarah E. MacPherson  Matthew Watson  
Affiliation:aCentre for Speech Technology Research, School of Informatics, University of Edinburgh, United Kingdom;bHuman Communication Research Centre, School of Informatics, University of Edinburgh, United Kingdom;cCentre for Cognitive Ageing and Cognitive Epidemiology and Human Cognitive Neurosciences Unit, Department of Psychology, University of Edinburgh, United Kingdom;dDepartment of Psychology, University of Sunderland, United Kingdom
Abstract:We evaluated two strategies for alleviating working memory load for users of voice interfaces: presenting fewer options per turn and providing confirmations. Forty-eight users booked appointments using nine different dialogue systems, which varied in the number of options presented and the confirmation strategy used. Participants also performed four cognitive tests and rated the usability of each dialogue system on a standardised questionnaire. When systems presented more options per turn and avoided explicit confirmation subdialogues, both older and younger users booked appointments more quickly without compromising task success. Users with lower information processing speed were less likely to remember all relevant aspects of the appointment. Working memory span did not affect appointment recall. Older users were slightly less satisfied with the dialogue systems than younger users. We conclude that the number of options is less important than an accurate assessment of the actual cognitive demands of the task at hand.
Keywords:Spoken dialogue systems   Cognitive ageing   Working memory   Processing speed   Usability   Universal design
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