Cognitive Neuroscience in Information Systems Research

Siau, Keng; Zhao, Yeli

doi:10.4018/jdm.2016010103

Cited by 13 publications

(5 citation statements)

References 69 publications

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“…Eye tracking has been used in the last decade, especially in the field of neuromarketing [10][11][12][13][14][15][16]. Recently, research has emerged pointing to the possibilities of its application and use in the educational process [17][18][19][20] or virtual reality [21].…”

Section: Related Workmentioning

confidence: 99%

Application Experiences Using IoT Devices in Education

et al. 2020

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The Internet of Things (IoT) is becoming a regular part of our lives. The devices can be used in many sectors, such as education and in the learning process. The article describes the possibilities of using commonly available devices such as smart wristbands (watches) and eye tracking technology, i.e., using existing technical solutions and methods that rely on the application of sensors while maintaining non-invasiveness. By comparing the data from these devices, we observed how the students’ attention affects their results. We looked for a correlation between eye tracking, heart rate, and student attention and how it all impacts their learning outcomes. We evaluate the obtained data in order to determine whether there is a degree of dependence between concentration and heart rate of students.

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Section: Related Workmentioning

confidence: 99%

Application Experiences Using IoT Devices in Education

et al. 2020

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“…Hence, our result is consistent with those in the literature. Future research can draw on mindfulness theory and cognitive fit theory as well as neurophysiological tools to understand the challenges faced by users, particularly men versus women, in 2D and 3D hedonic environments (Chan et al, 2012;Poston & Kettinger, 2014;Zhao & Siau, 2016). Our results also show that women perceive greater telepresence than men, which could be attributed to women's greater abilities to perceive and feel their surroundings than men (Seegmiller & Epperson, 1987;Woehlke & Piper, 1980), according to Jung's Theory of Psychological Types.…”

Section: Discussionmentioning

confidence: 55%

“…Thus, women enjoy interacting with hedonic systems more than men because of the fit between women's affective characteristics and the hedonic nature of the systems. Future research can examine the affective and emotional dimensions of users using neurophysiological tools (Zhao & Siau, 2016).…”

Section: Discussionmentioning

confidence: 99%

Understanding Gender Differences in Media Perceptions of Hedonic Systems

Nah

Eschenbrenner

2016

Journal of Database Management

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As technology improves in hedonic and affective dimensions, women's interests in technology may increase. In this research, the authors are interested in understanding gender differences in media perceptions of hedonic systems. They draw upon Hunter-Gatherer Theory of Spatial Gender Differences and Jung's Theory of Psychological Types on Gender Differences to hypothesize differences in men's and women's perceptions of skill, challenge, telepresence, and satisfaction with online experiences in 2D versus 3D hedonic environments. The results of their experiment indicate that even though women perceive lower skill levels and greater challenge in using 2D and 3D hedonic systems than men, women's' perceived sense of telepresence is higher than men in both 2D and 3D hedonic environments. In addition, women are more satisfied with 2D and 3D hedonic experiences than men. The authors' findings suggest that consistent with Jung's Theory of Psychological Types on Gender Differences, women's perceptions of hedonic systems are more positive than men and, hence, making technology intuitive, enjoyable, and fun to use can potentially increase women's participation in the information and communication technology workforce. Additionally, given that women perceive more challenge and skill issues in using technology but are more favorable toward hedonic systems than men, the authors suggest that the use of hedonic systems to support K-12 education systems, such as computer or serious gaming for education, can generate females' interests in technology at an early age.

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“…Analogous studies may also be conducted by other tools used in neuroscience such as electroencephalography [114,115], magnetoencephalography, and facial recognition. Reviews and discussion on the usefulness of various neuroscience methods can be found, for example, in [116,117].…”

Section: Validation Studiesmentioning

confidence: 99%

Modeling human thinking about similarities by neuromatrices in the perspective of fuzzy logic

Grobelny

Michalski

Weber

2020

Neural Comput & Applic

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In this work, we propose a new method for modeling human reasoning about objects’ similarities. We assume that similarity depends on perceived intensities of objects’ attributes expressed by natural language expressions such as low, medium, and high. We show how to find the underlying structure of the matrix with intensities of objects’ similarities in the factor-analysis-like manner. The demonstrated approach is based on fuzzy logic and set theory principles, and it uses only maximum and minimum operators. Similarly to classic eigenvector decomposition, we aim at representing the initial linguistic ordinal-scale (LOS) matrix as a max–min product of other LOS matrix and its transpose. We call this reconstructing matrix a neuromatrix because we assume that such a process takes place at the neural level in our brain. We show and discuss on simple, illustrative examples, how the presented way of modeling grasps natural way of reasoning about similarities. The unique characteristics of our approach are treating smaller attribute intensities as less important in making decisions about similarities. This feature is consistent with how the human brain is functioning at a biological level. A neuron fires and passes information further only if input signals are strong enough. The proposal of the heuristic algorithm for finding the decomposition in practice is also introduced and applied to exemplary data from classic psychological studies on perceived similarities between colors and between nations. Finally, we perform a series of simulation experiments showing the effectiveness of the proposed heuristic.

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Cognitive Neuroscience in Information Systems Research

Cited by 13 publications

References 69 publications

Application Experiences Using IoT Devices in Education

Application Experiences Using IoT Devices in Education

Understanding Gender Differences in Media Perceptions of Hedonic Systems

Modeling human thinking about similarities by neuromatrices in the perspective of fuzzy logic

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