The Future of Embodied AI: Containing and Mitigating the Dark and Creepy Sides of Robotics, Autonomous Vehicles, and AI

Oravec, Jo Ann

doi:10.1007/978-3-031-14013-6_9

Cited by 2 publications

(2 citation statements)

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“…In recent years, AI has played growing roles in attempts to reframe and mitigate cyberslacking activities, as well as other forms of managerially-identified employee deviance (Gkinko & Elbanna, 2022;Oravec, 2022b); Smith & Rustagi, 2022). For example, employee profiling and the machine learning-enabled analysis of interaction patterns are designed to assist in the prediction of employee disengagement with assigned tasks, though whether their constructs (such as "productivity scores") and related data collection methodologies are successful in meeting these objectives is in question.…”

Section: Ai and Coachbots In Bossware Medicalization Effortsmentioning

confidence: 99%

The Shape of Workbreaks to Come

Oravec

2023

Journal of Organizational and End User Computing

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For employees, work involves taking breaks as well as engaging in specific required duties, and sometimes that break taking is construed as “cyberslacking” by employers. After historical treatments of cyberslacking concepts, this article analyzes ways that artificial intelligence (AI) methodologies and the “bossware” platform genre are aiding management to counter the cyberslacking phenomena directly exhibited by employees or projected from previous activities and profiles. It contrasts straightforward “policing” methods that aim toward the identification of cyberslacking instances for selective punishment through surveillance, with “predictive cyberslacking” approaches that profile certain trends and patterns in employee behavior. Such identified inclinations can be used to engage or nudge workers into specific, individualized patterns of work and approved recreational or developmental activity. A medicalization-style approach is often used in bossware to entice employees toward particular mental health-themed activities (including mindfulness and meditation activities).

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Section: Ai and Coachbots In Bossware Medicalization Effortsmentioning

confidence: 99%

The Shape of Workbreaks to Come

Oravec

2023

Journal of Organizational and End User Computing

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“…This could result in incidents such as collisions, falls, or other forms of harm. To minimize these risks, it is essential to implement effective safety measures to promote responsible and cautious interaction between people and autonomous robots [2]. This study focuses on the safety aspects of human interaction with autonomous robots that charge electric vehicles, aiming to promote collision-free human-robot interaction (HRI).…”

Section: Introductionmentioning

confidence: 99%

CoboGuider: Haptic Potential Fields for Safe Human-Robot Interaction

Rakhmatulin

Cabrera

Hagos

et al. 2021

2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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The growing use of robots in urban environments has raised concerns about potential safety hazards, especially in public spaces where humans and robots may interact. In this paper, we present a system for safe human-robot interaction that combines an infrared (IR) camera with a wearable marker and airflow potential field. IR cameras enable real-time detection and tracking of humans in challenging environments, while controlled airflow creates a physical barrier that guides humans away from dangerous proximity to robots without the need for wearable devices. A preliminary experiment was conducted to measure the accuracy of the perception of safety barriers rendered by controlled air pressure. In a second experiment, we evaluated our approach in an imitation scenario of an interaction between an inattentive person and an autonomous robotic system. Experimental results show that the proposed system significantly improves a participant's ability to maintain a safe distance from the operating robot compared to trials without the system.

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The Future of Embodied AI: Containing and Mitigating the Dark and Creepy Sides of Robotics, Autonomous Vehicles, and AI

Cited by 2 publications

References 67 publications

The Shape of Workbreaks to Come

The Shape of Workbreaks to Come

CoboGuider: Haptic Potential Fields for Safe Human-Robot Interaction

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