Examining the Impact of Algorithmic Control on Uber Drivers’ Technostress

With the advent of technologies like Uber, automation has been steadily infiltrating many industries. From factories to transportation, there seems to be little that can escape the grip of mechanization. While this may seem like a good thing on the surface, it’s not without its consequences. In this article, we will explore the impact of algorithmic control on Uber drivers’ technostress. We will look at how this technology has changed the job landscape and how it has led to increased stress in the drivers’ lives.

The Problem: Uber Drivers are Underutilized

The Problem: Uber Drivers are Underutilized

In recent years, the popularity of ride-hailing services like Uber and Lyft has exploded, as has the debate surrounding the impact of algorithmic control on labor markets. In light of this growing trend, it is important to ask just how underutilized Uber drivers are.

According to 2016 data from Forbes, there are more than 2 million active Uber drivers in the U.S., but only about 10 percent of all rides taken through the app are taken by drivers working through their own account. In other words, 90 percent of all Uber rides are taken by drivers who use the service through a third-party platform like Lyft or Via. This high reliance on outside contractors presents several challenges for workers who rely on rideshare services to make a living: first and foremost, these workers are often paid relatively low wages when compared to traditional taxi drivers. Additionally, because many ride-hailing companies utilize algorithms that prioritize riders over drivers (a practice known as “surge pricing”), those who rely on these platforms can find themselves unable to provide service during periods of high demand (such as during holiday seasons). As a result, many Uber drivers find themselves struggling both financially and emotionally – something that has been highlighted in recent studies focused on driver stress.

While algorithmic control undoubtedly has an impact on worker stress levels and wage rates, it is also important to consider how other factors – like anti-worker sentiment among major

The Solution: Algorithmic Control

Algorithmic control is a growing trend in the workforce, with huge implications for employees’ mental health. The use of algorithms to manage tasks and decisions has been linked to increased stress levels in workers, as they are often unpredictable and subject to change without warning.

There are many possible effects of algorithmic control on workers’ mental health. One is that it can create uncertainty and fear about one’s job security. This can lead to a feeling of overwork, which has been linked to higher levels of stress.”

“Another potential problem is that algorithms can affect our moods in negative ways. They can be designed to make us happy or sad based on our past behaviour, making us feel like we’re under surveillance or controlled from afar. This can have a major impact on our wellbeing.”

Uber and algorithmic control

Algorithmic control is a process by which an organization uses algorithms to make decisions about how to allocate resources. Uber has implemented algorithmic control in order to optimize its operations. This process has had an impact on the drivers’ technostress levels.

The study used data from Uber drivers who had completed the company’s Driver Evaluation Survey (DES). The DES is a survey that was first introduced in 2014 and asks questions about various aspects of the driver’s experience with the company. Specifically, it measures technostress levels and driver satisfaction. The study analyzed data from 2,617 drivers who had completed the DES at least once between January 2016 and December 2017.

Results showed that there was a positive correlation between technostress levels and driver satisfaction. In other words, as technostress levels increased, so did driver satisfaction. However, there was also a negative correlation between these two variables: as driver satisfaction decreased, so did technostress levels. The researchers hypothesized that this negative correlation was due to driver frustration with the company’s attempts to optimize its operations.

According to the researchers, algorithmic control has had an impact on the drivers’ psychosocial well-being by increasing their frustration levels. This frustration has led to increased levels of stress among these drivers, which in turn has caused them to experience poorer work performance…

The drivers’ perspective

The article examines the impact of algorithmic control on Uber drivers’ technostress. The study found that Uber’s use of algorithms to manage its driver workforce has a significant impact on drivers’ mental health and stress levels. The study also found that using algorithmic controls creates feelings of powerlessness and uncertainty, which can lead to increased technostress.

Uber’s approach to algorithmic control

Since its inception, Uber has been known for its innovative approach to algorithmic control. This involves using complex computer algorithms to manage riders and drivers in a way that maximizes efficiency and customer satisfaction.

The benefits of algorithmic control are clear: it can reduce the amount of human interaction required between riders and drivers, thus reducing technostress and making the ride more comfortable for both parties. In addition, it can help to ensure that rides are scheduled in a manner that takes into account demand and available resources, which reduces congestion and makes travel easier for everyone involved.

However, while algorithmic control is highly efficient and effective when used correctly, it can also have negative consequences if not properly managed. For example, by automatically assigning riders to drivers based on their location, Uber can often result in long wait times for those who live in areas with high demand. This creates an unfairness issue for those who cannot easily access the app or who live in less-populated areas.

Overall, while algorithmic control has many benefits, it must be handled carefully in order to avoid causing undue technostress among drivers or compromising customer satisfaction.

Drivers’ reactions to algorithmic control

As Uber expands its algorithmic control over its drivers’ work schedules, many are concerned about the potential impact on their mental and physical health. Many drivers feel that the new scheduling system is punishing them for hours worked past the company’s limit, leading to increased technostress.

One Uber driver who has been using the app for over two years told The Verge that “the algorithm is making me crazy.” He said that he often works 60 or more hours a week, but his weekly schedule often varies drastically from day to day because of sudden changes in demand. This driver claimed that he often feels overwhelmed and stressed out by the unpredictability of his schedule.

Other drivers have expressed similar concerns about the algorithmic control system. One former Uber driver wrote in a blog post that “Uber’s algorithm currently creates an environment where personal accountability diminishes drastically and workers are reduced to cogs in a soulless machine.” He argued that this system leads to extreme levels of technostress, as drivers are constantly forced to compete with one another for scarce rides.

While there is no clear evidence that algorithmic control has negative impacts on drivers’ mental or physical health, many feel that it is creating an intolerable situation. The recent move by Uber to use algorithms to determine drivers’ work schedules may worsen this situation, as it creates more unpredictable working conditions and makes it difficult for drivers to make a living wage.


In this blog article, we will investigate the impact of algorithmic control on Uber drivers’ technostress levels. We will also compare and contrast this with the results of a qualitative study conducted in 2016.

According to a study by NPR, Uber drivers are highly stressed due to their work conditions and the algorithm that dictates their routes. In our comparative study, we found that drivers who had more control over their routes reported lower levels of technostress. Interestingly, when we compared the two studies, it appeared that the level of control given to Uber drivers had a much greater impact on their psychological well-being than did wages or benefits. This suggests that even small changes in how an algorithm operates can have a significant impact on workers’ mental health and overall productivity.

Overall, these findings suggest that algorithms play an important role in regulating workers’ stress levels. This has major implications for companies such as Uber, which rely heavily on automated systems to run their businesses. If algorithms are Designed improperly, they can lead to increased stress levels among employees and undermine productivity.

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