Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational 2014
DOI: 10.1145/2639189.2639236
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User experience evaluation through the brain's electrical activity

Abstract: A novel system for measuring the user experience of any user interface by measuring the feedback directly from the brain through Electroencephalography (EEG) is described. We developed an application that records data for different emotions of the user while using any interface and visualises the data for any interval during the task, as well as presenting various statistics and insight about the data. The application also provides the points of mouse movement on any interface as different coloured dots, where… Show more

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Cited by 9 publications
(4 citation statements)
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“…Figure 4 shows average scores for the Perceived Usefulness and Perceived Ease of Use scale, both of which were conducted on a 7-point Likert scale. All calculated average scores for Perceived Usefulness and Perceived Ease of Use were above the neutral value of four (4). For the ARCS motivational appeal model, the results indicate that all average scores for the individual constructs of the model were above a neutral rating of three (3) on a 5-point Likert scale (Figure 4).…”
Section: Resultsmentioning
confidence: 83%
See 1 more Smart Citation
“…Figure 4 shows average scores for the Perceived Usefulness and Perceived Ease of Use scale, both of which were conducted on a 7-point Likert scale. All calculated average scores for Perceived Usefulness and Perceived Ease of Use were above the neutral value of four (4). For the ARCS motivational appeal model, the results indicate that all average scores for the individual constructs of the model were above a neutral rating of three (3) on a 5-point Likert scale (Figure 4).…”
Section: Resultsmentioning
confidence: 83%
“…Many studies have already been conducted to combine HCI and EEG research. Aggarwal et al [4] have successfully analyzed EEG data to evaluate User Experience and Frey et al [5] have also developed frameworks for the same. However, in both cases, the studies were confined to a laboratory, leading to the same limitations of generalized sample size as mentioned in the previous section.…”
Section: Related Workmentioning
confidence: 99%
“…These challenges include the need to lower the complexity of user interfaces by leveraging familiar metaphors and addressing the difficulties associated with the development of adaptive distributed hybrid user interfaces (Zhao, 2022;Sanctorum et al, 2020;Sanctorum & Signer, 2019). Furthermore, the design of user interfaces for mobile devices and multiuser interfaces requires considerations of cognitive models, patterns of interaction among users, and even the evaluation of user experience through brain activity (Rao et al, 2005;Aggarwal et al, 2014;Meskens et al, 2009).…”
Section: Human Factors In User Interface Designmentioning
confidence: 99%
“…Therefore, the research on the user's neural response can not only help us understand the internal formation mechanism of perceptual experience but also provide a new method to measure perceptual experience. Based on previous studies on user experience and brain cognition [24,25], this paper aims to explore the differences in ERP induced by navigation interfaces of the mobile game with different levels, to fulfill for the shortcomings of traditional user experience methods.…”
Section: Introductionmentioning
confidence: 99%