Research: Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations

April 26, 2022

Explosive growth in big data technologies and artificial intelligence (AI) applications have led to increasing pervasiveness of information facets and a rapidly growing array of information representations. Information facets, such as equivocality and veracity, can dominate and significantly influence human perceptions of information and consequently affect human performance. Extant research in cognitive fit, which preceded the big data and AI era, focused on the effects of aligning information representation and task on performance, without sufficient consideration to information facets and attendant cognitive challenges. Therefore, there is a compelling need to understand the interplay of these dominant information facets with information representations and tasks, and their influence on human performance.

In a new article, “Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations,” (International Journal of Information Management, August 2022), Bloustein School Associate Professor of Practice Jim Samuel and co-authors Rajiv Kashyap (William Paterson University), Yana Samuel (Northeastern University), and Alexander Pelaez (Hofstra University) suggest that artificially intelligent technologies that can adapt information representations to overcome cognitive limitations are necessary for these complex information environments.

To this end, the authors propose and test a novel “Adaptive Cognitive Fit” (ACF) framework that explains the influence of information facets and AI-augmented information representations on human performance. They draw on information processing theory and cognitive dissonance theory to advance the ACF framework and a set of propositions. We empirically validate the ACF propositions with an economic experiment that demonstrates the influence of information facets and a machine learning simulation that establishes the viability of using AI to improve human performance.

Recent Posts

NJSPL – New Jersey Employment Concerns Revisited

As 2024 began with yet another surprisingly strong jobs report for the U.S. (353,000 jobs added in January and the unemployment rate steady at 3.7%), and with a full year’s worth of 2023 state-level employment data now available, it’s worth briefly revisiting some of...

New Research: The Traffic Calming Effect of Delineated Bicycle Lanes

Abstract We analyze the effect of a bicycle lane on traffic speeds. Computer vision techniques are used to detect and classify the speed and trajectory of over 9,000 motor-vehicles at an intersection that was part of a pilot demonstration in which a bicycle lane was...

Upcoming Events

Event Series CAREERS

Career Virtual Drop-ins

Virtual

Bloustein Career Development Specialists Cheryl Egan and Andrea Garrido will be in a Zoom Room on Monday's beginning January 22, 2024 (excluding holidays and spring break) to answer questions, provide […]