Workers and Technology

Brain with Gears

 
Technological innovations are transforming what people do, how work is performed, and the subjective work experience.

Healthcare

Healthcare
In healthcare, the application of new information technologies is forging new patterns of teamwork and pacing.

Boundaryless

smartphone
Smartphones have expanded work across time and space, often eliminating traditional boundaries between work and non-work/family.

Automation

Manufacturing Plant
New robotic technologies are modifying the knowledge and skills attentional demands required for job performance.   
 
The Center highlights the need to understand how new tools and systems affect learning, social relations, decision-making, and job attitudes. Understanding the impact of new workplace technologies on people also has important implications for career development and worker well-being. Research topics of interest include, for example:
 
  1. How changes in technology, workspaces, and always-on demands affect work-nonwork conflicts, work attitudes, and job stress.
  2. How changes associated with human factors engineering affect decision-making, engagement, and innovation.
  3. The features of new work architectures that spur creativity, innovation, and health.

Relevant WSC Content

  • Two tiny blockhead robots
    Blog entry
    What is the Ideal Robot Teammate's Personality?

    What kind of robot would you want for a teammate? A recent theoretical paper argued that robot personality will influence individuals' and teams' motivation. To better understand robot personality, we must first briefly describe personality traits in humans.


  • An open laptop with fashion designs displayed.
    Blog entry
    Automating Fashion

    Although automation and robotics has long impacted manufacturing jobs, with recent technological advances, even more traditional office jobs are feeling the change. A New York Times article by Noam Schieber discusses the role automation is playing in the fashion industry. For example, the tasks of a fashion buyer, which typically require intuition about changes in the tastes and preferences of customers in order to predict future fashion trends, are beginning to be supplemented, if not replaced, by artificial intelligence. Machine learning has enabled artificial intelligence algorithms to extract profile information about customers, ranging from the items they put in their wishlists to their search histories or occupations, to make better predictions about which items to stock and recommend. Traditionally fashion buyers work in large groups and each buyer focuses on a specific style of clothing, monitoring the possible changes in trends and customer preferences. With the aid of artificial intelligence, a small group of buyers, or even a sole individual, can handle the job. 


  • Two people learning to code
    Blog entry
    Did You Google It? Enterprise Social Media Enhances Autonomous Learning

    It has become expected by both employers and employees that jobs will require continued learning over the course of one’s career; enterprise social media is one method that companies can use to facilitate learning.


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