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The relation between human-to-human interaction and human-to-tablet interaction in a neurocognitive test

Our lives become longer with new advancements in medicine and technology. As a result, cognition and memory impairments will become a growing concern[23]. To be able to treat cognitive decline, dementia and related diseases, the need for early detection of memory deficiencies increases. This study aimed to validate the use of a new digital interaction version of a common memory test, the Rey Auditory Verbal Learning Test (RAVLT), compared with norm from the traditional human-to-human interaction version of the same test. This was performed through userstudies with both test versions in a counterbalanced order. The results consisted of quantitative results from the tests together with qualitative data from interviews with the participants in connection to each test occasion. The results showed a slight difference in some aspects of the quantitative test results, but at the same time, no significant difference for most of the measured results. Further, the interviews demonstrated that the differences in interaction and experience between the versions of the tests could be the reason for some of the differences in the quantitative result. The conclusion from this study was that there are many difficult problems to solve for speech interfaces in neurocognitive tests like the RAVLT. In line with previous research [22], the results highlight the importance of a natural speech interaction that conforms with the basic principles of human conversation, to create a stress-free experience and test results that can be reliable and comparable.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-239868
Date January 2018
CreatorsEkwall, Axel, Holm, Linnea
PublisherKTH, Skolan för elektroteknik och datavetenskap (EECS)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationTRITA-EECS-EX ; 2018:301

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