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Real-Time Optimization of Employee Productivity using Workplace Mood Analysis

IP.com Disclosure Number: IPCOM000245225D
Publication Date: 2016-Feb-18
Document File: 4 page(s) / 91K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a disciplined methodology and system that enables organizations to dispatch work based on the emotional condition or psychological state of the employee, thus increasing worker satisfaction and productivity.

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This is the abbreviated version, containing approximately 48% of the total text.

Page 01 of 4

Real-Time Optimization of Employee Productivity using Workplace Mood Analysis

Work assignment dispatch tools typically optimize along three dimensions: skills, availability, and quality/performance. However, no methods take into consideration the psychological state of an individual as a variable for expected work performance. Knowing an employee's mood might impact the assignment of tasks to that employee. A method or system is needed to enable an organization to optimize the assignment of tasks (i.e. work assignments) in order to maximize workers' productivity based on psychological status.

The novel contribution is a mechanism to maximize, in real time, an individual's productivity by optimizing the psychological state (i.e. mood) of an employee given the type of assigned work. Thus, the novel mechanism introduces a fourth dimension to a work assignment dispatch tool: the employee mood. The system adjusts work assignments to maximize productivity based on the moods of workers.

Service execution in an information technology (IT) environment is normally performed through mechanistic processes that link the current task with the skills of individual employees. The novel system also considers the emotional state/attachment /personal investment of the employee as a factor in determining how to maximize individual productivity.

To discern an individual's mood, the system collects data through video, still images, audio inputs, pressure sensors on keyboards (to register typing force), or other methods. The system analyzes the data, associates the impact on mood with different types of work, and then queues the appropriate work to individuals in order to maximize productivity. Options for routing work assignments based on the analytics include:


 Maintaining original assignments if the workers' emotions are within criteria which indicate the appropriate workload assignments


 Adjusting (e.g., reducing) workloads if emotions indicate a stressful condition


 Adjusting (e.g., increasing) workloads if emotions indicate excessive happiness or levels of distraction

Following an initial assessment and subsequent actions, the system continues to monitor and collect the worker's emotional data for continued productivity improvements.

Figure 1: Process flow

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Page 02 of 4

Referring to Figure 1, the process for implementing the solution follows:

1. Initiate request to evaluate productivity. Begin the process by requesting an evaluation of the current productivity of the work group.

2. Evaluate productivity level

A. Determine the productivity metrics if not already in place B. Measure the productivity of the work group using the defined productivity metrics (e.g., number of units output, elapsed time, quality based metrics, etc.)

3. Evaluate productivity findings, review and understand the work group productivity baselines

4. Collect monitoring results 4.1 Platform, keyboard: monitor the user's keystrokes (e.g., impact, speed, consistency,...