118843 20240319081012.0 doi 10.1007/s12193-022-00392-4 sideral 130142 ART-2022-130142 eng Juan, M. Carmen A SLAM-based augmented reality app for the assessment of spatial short-term memory using visual and auditory stimuli 2022 Access copy available to the general public Unrestricted A SLAM-based Augmented Reality (AR) app has been designed, developed, and validated to assess spatial short-term memory. Our app can be used with visual and auditory stimuli and can run on mobile devices. It can be used in any indoor environment. The anchors and data of the app are persistently stored in the cloud. As an authoring tool, the type of stimulus, its number, and specific positions in the real environment can be customized for each session. A study involving 48 participants was carried out to analyze the performance outcomes comparing the location and remembering of stimuli in a real environment using visual versus auditory stimuli. The number of objects placed correctly was similar for the two different stimuli used. However, the group that used the auditory stimulus spent significantly more time completing the task and required significantly more attempts. The performance outcomes were independent of age and gender. For the auditory stimuli, correlations among all of the variables of the AR app and the variables of two other tasks (object-recall and map-pointing) were found. We also found that the greater the number of correctly placed auditory stimuli, the greater the perceived competence and the less mental effort required. The greater the number of errors, the less the perceived competence. Finally, the auditory stimuli are valid stimuli that may benefit the assessment of the memorization of spatial-auditory associations, but the memorization of spatial-visual associations is dominant, as our results suggest. info:eu-repo/grantAgreement/ES/DGA-FEDER/S31-20D info:eu-repo/grantAgreement/ES/MINECO-ERDF/AR3Senses-TIN2017-87044-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 2.9 2022 COMPUTER SCIENCE, CYBERNETICS 13 / 24 = 0.542 2022 Q3 T2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 89 / 145 = 0.614 2022 Q3 T2 0.629 2022 Signal Processing 2022 Q2 Human-Computer Interaction 2022 Q2 5.3 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Méndez López, Magdalena Universidad de Zaragoza (orcid)0000-0002-4249-602X Álvarez Fidalgo, Camino Universidad de Zaragoza (orcid)0000-0002-4732-6417 Molla, Ramón Vivo, Robert Páramo, David 4009 735 Universidad de Zaragoza Dpto. Psicología y Sociología Área Psicolog.Evolut.Educac 4009 725 Universidad de Zaragoza Dpto. Psicología y Sociología Área Psicobiología 16 (2022), [319-333 pp.] Journal on Multimodal User Interfaces Journal on Multimodal User Interfaces 1783-7677 1437337 http://zaguan.unizar.es/record/118843/files/texto_completo.pdf Versión publicada 2593565 http://zaguan.unizar.es/record/118843/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:118843 articulos driver 2024-03-18-15:14:07 ARTICLE