Currently, large pre-trained language models are widely applied in neural code completion systems. Though large code models significantly outperform their smaller counterparts, around 70% of displayed code completions from Github Copilot are not accepted ...

With software development increasingly reliant on innovative technologies, there is a growing interest in exploring the potential of generative AI tools to streamline processes and enhance productivity. In this scenario, this paper investigates the ...

Background: Research shows that emotional intelligence (EI) should be used alongside cognitive intelligence during requirements change (RC) handling in Software Engineering (SE), especially in agile settings. Objective: We wanted to study the role of EI ...

Desktop companion robots have attracted increasing attention, yet their application to support office workers requires further exploration. In envisioning the role of desktop companion robots as a helpful “peer” for office workers, we conducted a lab ...

In this paper, we contribute three design manifestos that start from our queer, crip experiences to resist dominant designs and practices of productivity. Through our manifestos, we explore tensions in glitching three technologies of productivity (...

Large language models (LLMs) like ChatGPT have been widely adopted in work contexts. We explore the impact of ChatGPT on young professionals’ perception of productivity and sense of accomplishment. We collected LLMs’ main use cases in knowledge work ...

Industry 4.0 (I4.0) is a transformative industrial paradigm that encompasses a set of technologies and principles that are increasingly essential for companies operating in the automotive sector. By embracing the principles and implementing the ...

We study the interaction of flexible capital utilization and depreciation for expected returns and investment of firms. Empirically, an investment strategy that buys (sells) equities with low (high) utilization rates earns 5% per annum. Utilization ...

Today’s knowledge workers face cognitively demanding tasks and blurred work-life boundaries amidst rising stress and burnout in the workplace. Holistic approaches to supporting workers, which consider both productivity and well-being, are increasingly ...

Enhancing productivity is a core objective of any organization whether it is manufacturing or service one. Several factors both technological and human related are responsible for an improved performance. Beyond continuous improvement in process, sound ...

The development of built environments has expanded its focus beyond sustainability to health due to the potential to become a transformative health tool. Studies have shown that exposure to poor Indoor Environmental Quality (IEQ) can affect health and ...

The first generation of exascale systems will include a variety of machine architectures, featuring GPUs from multiple vendors. As a result, many developers are interested in adopting portable programming models to avoid maintaining multiple versions of ...

In recent years, we have seen great advancements in artificial intelligence. Given this new “Age of AI”, an increase in annotated data for training advanced models requires increased support of a large, diverse, and robust population of workers. ...

Breaks as discretionary self-interruptions can have beneficial effects on information worker productivity and well-being. This has design implications for potential productivity tools that can assess opportune moments to suggest these breaks. ...

While there has been significant study of both individuals and teams of knowledge workers, research has focused largely on one or the other, with less focus on the interaction between the two. In this paper, we explore the tensions between the individual ...

Financing frictions may create a misallocation of assets in a market, thus depressing output, productivity, and asset values. This paper empirically explores how liquidity shocks generate a reallocation that diminishes this misallocation. Using a unique ...

While neurodiversity research in HCI has primarily focused on Autism Spectrum Disorder and children, other conditions (such as ADHD) and demographics remain underexplored. To address this gap, we conducted an online survey with 49 participants to ...

LAIKA launched the Digital Big Boards (DBB) Web Planner project to scale up production and increase accuracy in the stage shooting schedule. This is the first major update since 2017, when LAIKA launched the DBB Planner, a native application built for ...

All the facility layouts are designed to enhance productivity. Though automation plays a huge role, still manual workers are considered essential for achieving the perfection of the product. In that case, any layout that doesn’t consider the ...

We exploit a unique data set from the Israeli Professional Football Leagues that provides high-frequency direct measures of players’ effort to estimate effort peer effects in a high-skill collaborative team task. Using two complementary identification ...