HCSep 7, 2020

Cyber-Human System for Remote Collaborators

arXiv:2009.03143v11 citations
Originality Incremental advance
AI Analysis

This addresses the growing demand for handyman skills by allowing remote experts to guide novices, potentially reducing waiting times and costs for consumers.

The paper tackles the problem of insufficient skilled workers for repairs by enabling remote collaboration between experts and novices, resulting in subjects with minimal mechanical or plumbing knowledge successfully completing tasks like elevating a car for tire replacement and changing a faucet cartridge with total accuracy and average times close to standard repair times.

With the increasing ubiquity of technology in our daily lives, the complexity of our environment and the mechanisms required to function have also increased exponentially. Failure of any of the mechanical and digital devices that we rely on can be extremely disruptive. At times, the presence of an expert is needed to analyze, troubleshoot, and fix the problem. The increased demand and rapidly evolving mechanisms have led to an insufficient amount of skilled workers, thus resulting in long waiting times for consumers, and correspondingly high prices for expert services. We assert that performing a repair task with the guidance of experts from any geographical location provides an appropriate solution to the growing demand for handyman skills. This paper proposes an innovative mechanism for two geographically separated people to collaborate on a physical task. It also offers novel methods to analyze the efficiency of a collaboration system and a collaboration protocol through complexity indices. Using the innovative Collaborative Appliance for Remote-help (CARE) and with the support of a remote expert, fifty-nine subjects with minimal or no prior mechanical knowledge were able to elevate a car for replacing a tire; in a second experiment, thirty subjects with minimal or no prior plumbing knowledge were able to change the cartridge of a faucet. In both cases, average times were close to standard average repair times, and more importantly, both tasks were completed with total accuracy. Our experiments and results show that one can use the developed mechanism and methods for expanding the protocols for a variety of home, vehicle, and appliance repairs and installations.

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