NeuroIS: a State-of- the- Art Analysis
Subject Areas : Decision support systems
Nahid Entezarian
1
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,
Mohammad Mehraeen
2
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2 -
Keywords: NeuroIS, Information Systems (IS), Human-Computer Interaction (HCI), Neuroscience, State-of-the-art,
Abstract :
NeuroIS, the interdisciplinary field merging neuroscience and information systems, has recently garnered significant attention for its potential to enhance our understanding of human behavior in the tech context. This analysis delves into the current NeuroIS research landscape, examining key trends, methodologies, and discoveries in the field. By synthesizing recent research, the aim is to shed light on potential applications of NeuroIS across various domains and identify future research directions in this rapidly evolving field. Currently an emerging area within information systems, NeuroIS has a limited number of studies available. To aid researchers entering NeuroIS, we have analyzed 244 articles and summarize their findings to give more details of NeuroIS studies. This examination of literature reveals various avenues for future NeuroIS exploration, including influencing factors, measurement tools, and subject areas. We believe that our work will offer valuable insights for upcoming NeuroIS studies. The fusion of neuroscience and information systems holds immense potential for uncovering profound insights into human-computer interaction, decision-making processes, cognitive responses to technology, and enhancement of user experiences. As the field progresses, researchers are increasingly exploring innovative methods such as functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and eye-tracking to unravel the complex mechanisms underlying human cognition in the digital age. By delving into the neurobiological basis of technology-mediated interactions, NeuroIS presents opportunities for designing more intuitive, efficient, and user-centric systems. With numerous uncharted research paths ahead, the future of NeuroIS looks promising, signaling a potential shift in how we understand and utilize information systems to impact human behaviors and decisions.
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