The Effect of Spatial Reference on Visual Attention and Workload during Viewpoint Guidance in Augmented Reality

Markov-Vetter, Daniela; Luboschik, Martin; Islam, Abm Tariqul; Gauger, Peter; Staadt, Oliver

doi:10.1145/3385959.3418449

Cited by 10 publications

(2 citation statements)

References 55 publications

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“…Markov‐Vetter et al took the RR interval—the time between two successive R‐wave peaks of the QRS signal as well as pNN50 and RMSSD derived from it, which are said to be reliable indicators of parasympathetic activity. For both, the smaller the value, the higher the level of excitation and stress (Markov‐Vetter et al, 2020). While mean RR times showed a significant effect of the system, pNN50 and RMSSD did not.…”

Section: Resultsmentioning

confidence: 99%

Measuring cognitive load in augmented reality with physiological methods: A systematic review

Suzuki,

Wild,

Scanlon

2023

Computer Assisted Learning

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BackgroundCognitive load during AR use has been measured conventionally by performance tests and subjective rating. With the growing interest in physiological measurement using non‐invasive biometric sensors, unbiased real‐time detection of cognitive load in AR is expected. However, a range of sensors and parameters are used in various subject fields, and reported results are fragmented.ObjectivesThe aim of this review is to analyse systematically how physiological methods have been used to measure cognitive load and what the implications are for the future research on AR‐based tools.MethodsThis paper took the systematic review approach. Through screening with 10 exclusion criteria, 23 studies, that contain 3 key elements: AR‐based intervention, cognitive state examination and physiological methods, were identified, analysed and synthesised.ResultsPhysiological methods in their current form require reference to provide meaningful interpretations and suggestions. Therefore, they are often combined with conventional methods. Many studies investigate the effect of wearable devices in comparison with non‐AR stimuli, which has been controversial, but detection of different causes of cognitive load are on the horizon. Eye‐tracking is the method most used and most consistent in the use of its parameters.ConclusionsA multi‐method approach combining two or more evaluation instruments is essential for the validation of users' cognitive state. In addition to the AR stimuli in question, having another independent variable such as task difficulty in experiment design is useful. Statistical approaches with more data input could help establish a reliable scale. The future research should attempt to dissociate cognitive load caused by different effects such as device, instruction, and other AR techniques as well as intrinsic and extraneous aspects, in a better experimental setup with multiple parameters.

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Section: Resultsmentioning

confidence: 99%

Measuring cognitive load in augmented reality with physiological methods: A systematic review

Suzuki,

Wild,

Scanlon

2023

Computer Assisted Learning

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“…Desde la revisión, se identificaron cuatro atributos de configuración del entorno virtual: el sistema de referencia, la cobertura angular, la proximidad al usuario y el campo visual. De estos atributos, según la literatura encontrada, se consideran mayores los efectos del sistema de referencia y del FOV, especialmente porque, en el caso de sistema de referencia, crea una base de ubicación y orientación de los usuarios, fomentando o degradando la adecuada relación de estos con su entorno virtual, como lo menciona Müller [79] y Markov-Vetter [80]. De igual forma, el campo visual tiene un efecto que vincula especialmente los dispositivos de visualización (head-sets) y el efecto de la carga mental, como lo menciona Czerwinski [81].…”

Section: Discusión Y Conclusiónunclassified

Integración espacial de contenidos en entornos de realidad extendida

Bautista,

Maradei,

Pedraza

2023

Cien.Ing.Neogranadina

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La realidad extendida es un conjunto de tecnologías inmersivas de la Cuarta Revolución Industrial que incluyen la realidad virtual, la realidad mixta y la realidad aumentada, y que son usadas en entornos inmersivos de aprendizaje. Sin embargo, para garantizar la utilidad de estas tecnologías se debe conocer el impacto de los principios multimedia que garantizan la integración espacial de la información, especialmente en entornos virtuales 3D, dado que estos son principios que buscan que el aprendiz use adecuadamente sus recursos cognitivos. Con el propósito de identificar la forma en que los mismos son usados y cómo influyen en la integración espacial de contenido en entornos de realidad extendida, se realizó una revisión sistemática de información. Los resultados muestran la influencia de tres características asociadas a las diferencias entre usuarios, permitiendo establecer un conjunto de técnicas que fomentan la integración espacial y proponer una taxonomía. Finalmente, se identificaron atributos de configuración del entorno virtual 3D y su influencia en la carga cognitiva de los aprendices. Estos resultados pueden orientar la aplicación de los principios de la teoría de la carga cognitiva en el diseño de entornos de realidad extendida para el aprendizaje y entrenamiento.

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Iterative Design of an Immersive Analytics Environment Based on Frame of Reference

Sardana

Chandrashekar

Gračanin

et al. 2023

Lecture Notes in Computer Science

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The Effect of Spatial Reference on Visual Attention and Workload during Viewpoint Guidance in Augmented Reality

Cited by 10 publications

References 55 publications

Measuring cognitive load in augmented reality with physiological methods: A systematic review

Measuring cognitive load in augmented reality with physiological methods: A systematic review

Integración espacial de contenidos en entornos de realidad extendida

Iterative Design of an Immersive Analytics Environment Based on Frame of Reference

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