Evaluating Augmented Reality Based Remote Collaboration: A Contextualized Approach

Marques, Bernardo; Silva, Samuel; Dias, Paulo; Santos, Beatriz Sousa

doi:10.1007/978-3-031-10788-7_16

Cited by 6 publications

(1 citation statement)

References 54 publications

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“…The transmitter makes use of an ESP32 Module, a versatile microcontroller known for its integrated Bluetooth and Wi-Fi capabilities, ideal for IoT applications and wireless communication [20]. It also incorporates a MPU6050 motion-tracking system that uses an accelerometer and gyroscope to measure motion and direction [21].…”

Section: Literature Survey and Specificationmentioning

confidence: 99%

Real-Time Remote-Controlled Human Manipulation Medical Robot Using IoT Module

Kanna,

Sankar Panigrahi,

Sucharita

et al. 2024

EAI Endorsed Trans IoT

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INTRODUCTION: Innovative robotics and advanced computer vision technology converge in the Human Manipulation-Controlled Robot, utilized for medical applications. The robot operates through human gestures, and includes a camera module for real-time visual feedback, enhancing its functionality and user interaction. OBJECTIVES: The primary goal of the research was to harness the natural expressiveness of human gestures to provide a more intuitive and engaging method of controlling medical robots. The focus is on enabling precise control through programmed responses to specific gestures, ensuring effective interaction with medical tasks. METHODS: The robot’s hardware configuration consists of a mobile platform with motorized components, an ESP32 module, gesture recognition sensors and a camera modules. The ESP32 module interprets signals from gesture recognition sensors to execute precise commands for the robot's movements and actions. Simultaneously, the camera module captures live footage, providing visual feedback through an intuitive interface for seamless interaction. RESULTS: The Human Manipulation-Controlled Robot has been successfully developed, featuring a fetch arm capable of autonomous movement and object manipulation. This research address critical needs in medical centers, demonstrating the feasibility of using only minimalistic EEG electrode wireless transmission to operate a robot effectively. CONCLUSION: Through the provision of a more intuitive and engaging method of controlling and interacting with medical robots, this innovation has the potential to significantly improve user experience. It represents a most important development in medical robotic vehicles, enhancing user experience and operational efficiency through advanced human-robot interaction techniques.

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Section: Literature Survey and Specificationmentioning

confidence: 99%

Real-Time Remote-Controlled Human Manipulation Medical Robot Using IoT Module

Kanna,

Sankar Panigrahi,

Sucharita

et al. 2024

EAI Endorsed Trans IoT

View full text Add to dashboard Cite

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Is social presence (alone) a general predictor for good remote collaboration? comparing video and augmented reality guidance in maintenance procedures

et al. 2023

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A common practice in scenarios of remote collaboration is to provide a representation from distributed team members, aiming to positively influence the level of social presence and in turn the work effort. Nevertheless, these stimuli can lead to fractured learning experiences, since collaborators need to split attention among the task, the shared information, and the counterpart representation. This paper explored how the last affects social presence, and other dimensions of collaboration, as well as task resolution in scenarios of remote guidance. A user study was conducted, comparing two distinct conditions: traditional video chat (team members representation always visible) and Augmented Reality (AR) annotations (collaborators representation never available). These were selected due to ongoing research with partners from the industry sector, following the insights of a participatory design process. A real-life use-case was considered, i.e., synchronous maintenance task with 4 completion stages that required a remote expert using a computer to guide 37 on-site participants wielding a handheld device. The results of the study are described and discussed based on data analysis, showing that the majority of participants preferred the AR-based condition, despite the absence of the expert representation.

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