Abstract:Abstract.Prior studies have shown benefits of interactions on mobile devices. Device mobility itself changes the nature of the user experience; interactions on mobile devices may present better support for cognition. To better understand cognitive demands related to mobility, the current study investigated presentations on a mobile device for a three-dimensional construction task. The task imposed considerable cognitive load, particularly in demands for mental rotation; individual differences in spatial abilit… Show more
“…As in [35], we filtered EEG signals in the delta (1-3 Hz), theta (4-6 Hz), alpha (7-13 Hz), beta (14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) and gamma (26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40) bands. To reduce features dimensionality, we used for each band a set of Common Spatial Patterns (CSP) spatial filters.…”
Section: Processing Workloadmentioning
confidence: 99%
“…Furthermore, they need to update their frame of reference as often as the character shifts from one side to another. Depending on the spatial ability of users, this mechanism can cause an important cognitive load [28].…”
Measuring brain activity with electroencephalography (EEG) is mature enough
to assess mental states. Combined with existing methods, such tool can be used
to strengthen the understanding of user experience. We contribute a set of
methods to estimate continuously the user's mental workload, attention and
recognition of interaction errors during different interaction tasks. We
validate these measures on a controlled virtual environment and show how they
can be used to compare different interaction techniques or devices, by
comparing here a keyboard and a touch-based interface. Thanks to such a
framework, EEG becomes a promising method to improve the overall usability of
complex computer systems.Comment: in ACM. CHI '16 - SIGCHI Conference on Human Factors in Computing
System, May 2016, San Jose, United State
“…As in [35], we filtered EEG signals in the delta (1-3 Hz), theta (4-6 Hz), alpha (7-13 Hz), beta (14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) and gamma (26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40) bands. To reduce features dimensionality, we used for each band a set of Common Spatial Patterns (CSP) spatial filters.…”
Section: Processing Workloadmentioning
confidence: 99%
“…Furthermore, they need to update their frame of reference as often as the character shifts from one side to another. Depending on the spatial ability of users, this mechanism can cause an important cognitive load [28].…”
Measuring brain activity with electroencephalography (EEG) is mature enough
to assess mental states. Combined with existing methods, such tool can be used
to strengthen the understanding of user experience. We contribute a set of
methods to estimate continuously the user's mental workload, attention and
recognition of interaction errors during different interaction tasks. We
validate these measures on a controlled virtual environment and show how they
can be used to compare different interaction techniques or devices, by
comparing here a keyboard and a touch-based interface. Thanks to such a
framework, EEG becomes a promising method to improve the overall usability of
complex computer systems.Comment: in ACM. CHI '16 - SIGCHI Conference on Human Factors in Computing
System, May 2016, San Jose, United State
In recent decades, “post-WIMP” interactions have revolutionized user interfaces (UIs) and led to improved user experiences. However, accounts of post-WIMP UIs typically do not provide theoretical explanations of why these UIs lead to superior performance. In this article, we use Norman’s 1986 model of interaction to describe how post-WIMP UIs enhance users’ mental representations of UI and task. In addition, we present an empirical study of three UIs; in the study, participants completed a standard three-dimensional object manipulation task. We found that the post-WIMP UI condition led to enhancements of mental representation of UI and task. We conclude that the Norman model is a good theoretical framework to study post-WIMP UIs. In addition, by studying post-WIMP UIs in the context of the Norman model, we conclude that mental representation of task may be influenced by the interaction itself; this supposition is an extension of the original Norman model.
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