To mitigate the challenges posed by data uncertainty in Full-Self Driving (FSD) systems. This paper proposes a novel feature extraction learning model called Adaptive Region of Interest Optimized Pyramid network (ARO)...
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In the recommendation algorithm, due to the incompleteness of the interaction between users and items, there are often a large number of missing data in the interaction matrix, which affects the quality of recommendat...
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networking paradigm known as "Software-Defined networking" (SDN) offers more flexibility with network management and is fast gaining popularity. Separating the control plane from the data plane is largely re...
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This paper explores the integration of Wireless Sensor network (WSN) into smart city lighting systems, emphasizing the transformative potential and challenges associated with this technology. WSN technology enhances u...
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The present investigation proposes a Convolutional Neural network (CNN)-based method for human-computer interaction (HCI) speaker emotion identification. Optimising the user experience through clearer and sympathetic ...
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networks plays a vital role in modern society and cyber security has become a critical area that needs to be acknowledged. A crucial part of cybersecurity frameworks intended to track network traffic and spot suspicio...
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Wireless sensor node and DDoS (Distributed Denial of Service) is a major attack way that can exhaust the energy of a sensor, disrupt the communication traffic of an IoT network. We must be on the lookout for these att...
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The development of AI has witnessed significant advancements over the years;from rule-based systems to deep neural networks, AI has become more sophisticated in understanding and processing data. This progress has pav...
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This paper proposes a neural network, MOGA-GCNDeepLabV3+, to improve carotid plaque segmentation in ultrasound images affected by noise, low contrast, and blurred *** replaces the backbone of DeepLabV3+, and MogaBlock...
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This paper addresses the critical need for inclusive, human-centered, and neurodiverse research paradigms within the field of immersive extended reality (XR) technology interventions for transition-aged autistic adult...
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ISBN:
(纸本)9783031804748;9783031804755
This paper addresses the critical need for inclusive, human-centered, and neurodiverse research paradigms within the field of immersive extended reality (XR) technology interventions for transition-aged autistic adults. Specifically, we explored the use of extended reality XR as an intervention tool for autistic adults, employing a community-based participatory research framework. Project PHoENIX, an XR training experience, was assessed for usability, social validity, and alignment with the needs, preferences, and values of autistic stakeholders. Data collection involved the computer System Usability Questionnaire, an open-ended questionnaire, and a social validity instrument, complemented by videos of focus groups. A combination of qualitative and quantitative methods was used for data analysis, including content analysis of open-ended responses and spreadsheet calculations for CSUQ and social validity questionnaire data. The results are structured around three research questions, addressing usability, social validity, and stakeholder needs in XR design. The study highlights the need for participatory, inclusive, and flexible design approaches in developing XR tools for the autistic community, acknowledging the diverse experiences and requirements within this population.
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