Zobrazeno 1 - 10
of 5 712
pro vyhledávání: '"Human-Centered Computing"'
Autor:
Matthew Schmidt, Jie Lu, Rui Huang, Marc-Sonley Francois, Minyoung Lee, Xiaoman Wang, Pedro Guillermo Feijóo-García
Publikováno v:
Educational Technology & Society, Vol 27, Iss 4, Pp 283-301 (2024)
Extended reality (XR) such as Virtual Reality (VR) and Augmented Reality (AR) has been heralded as a particularly promising technology for autistic people. However, prior studies have centered around curing or ameliorating deficits and impairments an
Externí odkaz:
https://doaj.org/article/6790c58e1b5e49469cf00f866b6ef653
Autor:
Shuangcheng Jiao, Jiang Cheng, Zhaosong Huang, Tong Li, Tiankai Xie, Wei Chen, Yuxin Ma, Xumeng Wang
Publikováno v:
Visual Informatics, Vol 8, Iss 3, Pp 42-52 (2024)
Differential privacy is an essential approach for privacy preservation in data queries. However, users face a significant challenge in selecting an appropriate privacy scheme, as they struggle to balance the utility of query results with the preserva
Externí odkaz:
https://doaj.org/article/c550e8eb5b724adf87557cf763a58286
Autor:
Matteo Lavit Nicora, Pooja Prajod, Marta Mondellini, Giovanni Tauro, Rocco Vertechy, Elisabeth André, Matteo Malosio
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Introduction: In this work we explore a potential approach to improve human-robot collaboration experience by adapting cobot behavior based on natural cues from the operator.Methods: Inspired by the literature on human-human interactions, we conducte
Externí odkaz:
https://doaj.org/article/f145a86c0f5e47f0b5f7337a84ada0db
Publikováno v:
IEEE Access, Vol 12, Pp 9848-9859 (2024)
Virtual reality(VR) applications are typically developed within their own immersive digital worlds; therefore, virtual spaces are usually treated as discrete from the physical space where augmented and mixed reality users exist, which makes it diffic
Externí odkaz:
https://doaj.org/article/e9fbb4176503423f872238d0ff3d14a2
Autor:
Muhannad Ismael, Roderick McCall, Fintan McGee, Ilyasse Belkacem, Mickaël Stefas, Joan Baixauli, Didier Arl
Publikováno v:
Frontiers in Virtual Reality, Vol 5 (2024)
This paper presents a proof-of-concept Augmented Reality (AR) system known as “SMARTLab” for safety training in hazardous material science laboratories. The paper contains an overview of the design rationale, development, methodology, and user st
Externí odkaz:
https://doaj.org/article/56bb29baa5b6401092a812984cf69bce
Publikováno v:
Visual Informatics, Vol 7, Iss 4, Pp 22-35 (2023)
Immersive visualization utilizes virtual reality, mixed reality devices, and other interactive devices to create a novel visual environment that integrates multimodal perception and interaction. This technology has been maturing in recent years and h
Externí odkaz:
https://doaj.org/article/d527ba9f2d954d0bba17b4a3c4abfa1f
Autor:
Srivatsa P, Thomas Plötz
Publikováno v:
Sensors, Vol 24, Iss 12, p 3944 (2024)
There has been a resurgence of applications focused on human activity recognition (HAR) in smart homes, especially in the field of ambient intelligence and assisted-living technologies. However, such applications present numerous significant challeng
Externí odkaz:
https://doaj.org/article/b061d7ad07fe404fa720295fa178e437
Publikováno v:
IEEE Access, Vol 11, Pp 94188-94204 (2023)
According to the U.S. Department of Health and Human Services, Applied Behavior Analysis (ABA) is regarded as the gold standard for treating autism. However, it requires a significant time commitment of 20 to 40 hours per week, which can be expensive
Externí odkaz:
https://doaj.org/article/a36456ff3ea8491388d11b173e85dca8
Autor:
Christos A. Fidas, Dimitrios Lyras
Publikováno v:
IEEE Access, Vol 11, Pp 22917-22934 (2023)
Recently, the use of Electroencephalography (EEG) in scientific research on User Authentication (UA) has led to cutting-edge experiments that seek to identify and authenticate individuals based on their brain activity in particular usage scenarios. U
Externí odkaz:
https://doaj.org/article/3c70b0b09be740259d2d133dc50ae8a6
Autor:
Bárbara Gabrielle C. O. Lopes, Liziane Santos Soares, Raquel Oliveira Prates, Marcos André Gonçalves
Publikováno v:
Journal on Interactive Systems, Vol 13, Iss 1, Pp 313-334 (2022)
The way Complex Machine Learning (ML) models generate their results is not fully understood, including by very knowledgeable users. If users cannot interpret or trust the predictions generated by the model, they will not use them. Furthermore, the hu
Externí odkaz:
https://doaj.org/article/3f95949496954880a68194d35a652454