User-Defined Foot Gestures for Eyes-Free Interaction in Smart Shower Rooms

Chen, Zhanming; Tu, Huawei; Wu, Huiyue

doi:10.1080/10447318.2022.2109260

Cited by 4 publications

(2 citation statements)

References 62 publications

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“…Next article mentions that studies of mental models are particularly important in the development of smart shower rooms because they help designers and developers understand foot gestures for eyes-free interaction. This is necessary for the creation of user-cantered interfaces that are tailored to users' requirements, preferences, and expectations and are able to enhance the overall quality of the user experience (Chen et al, 2022).…”

Section: Derived Concern and Issuesmentioning

confidence: 99%

A Systematic Review of User Mental Models on Applications Sustainability

Nasrudin,

Ahmad,

Ahmad Salleh

et al. 2023

IJSCET

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In Human-Computer Interaction (HCI), a user’s mental model affects application sustainability. This study's goal is to find and assess previous work in the area of user mental models and how it relates to the sustainability of application. Thus, a systematic review process was used to identify 641 initial articles, which were then screened based on inclusion and exclusion criteria. According to the review, it has been observed that the mental model of a user has an impact on the creation of applications not only within the domain of Human-Computer Interaction (HCI), but also in other domains such as Enterprise Innovation Ecology, Explainable Artificial Intelligence (XAI), Information Systems (IS), and various others. The examined articles discussed company managers' difficulties in prioritising innovation and ecology, and the necessity to understand users' mental models to build and evaluate intelligent systems. The reviewed articles mostly used experimental, questionnaire, observation, and interviews, by applying either qualitative, quantitative, or mixed-method methodologies. This study highlights the importance of user mental models in application sustainability, where developers may create apps that suit user demands, fit with cognitive psychology principles, and improve human-AI collaboration by understanding user mental models. This study also emphasises the importance of user mental models in the long-term viability and sustainability of applications, and provides significant insights for application developers and researchers in building more user-centric and sustainable applications.

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Section: Derived Concern and Issuesmentioning

confidence: 99%

A Systematic Review of User Mental Models on Applications Sustainability

Nasrudin,

Ahmad,

Ahmad Salleh

et al. 2023

IJSCET

View full text Add to dashboard Cite

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“…Machine learning algorithms (Wang, 2015;Zhang, 2015; for gesture recognition face several challenges, which impact their effectiveness and performance. Addressing these challenges is essential for ensuring robust and accurate gesture recognition systems (Zhanming et al, 2023): 1. Variability in Gesture Patterns One significant challenge is the inherent variability in how individuals perform gestures.…”

Section: Challenges Of Machine Learning Algorithmsmentioning

confidence: 99%

Gesture Recognition in Virtual reality

2023

Psychomachina

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Virtual Reality (VR) provides users with a sensory experience that is close to reality, creating a sense of interaction. It is widely used, and the gesture recognition in VR also has a great effect. Gesture recognition enriches VR using experience and promotes a more direct and natural interaction. Gesture recognition usually employs sensors to collect data from users and machine leaning algorithms to interpret and respond to human activities. Complex gestures need more complex algorithms and more rigorous operations. The reason is that complex gestures mean larger quantity of data. If data is larger, the harder to get robust and effective datasets. Then, features can also become difficult to extract, contributing to misrecognition or unrecognizable. Though machine leaning algorithms are widely used in gesture recognition, there are still some important challenges need to be addressed, like lack of standardization and limitations of availability of diverse and large datasets. However, VR, gesture recognition and machine leaning algorithms all have excellent prospect, because they are in line with the development of the Times and show the progress of science and technology. This paper not only focuses on their advantages but also does not ignore their shortcomings, and looks at them comprehensively.

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