Thirty-two years of research on information foraging theory: Evolution, key contributions and emerging directions

This paper examines the evolution and future directions of Information Foraging Theory (IFT) research over the past 32 years (1992–2023). The findings reveal a sustained interest in IFT, with an average of 14 publications per year, culminating in a total of 449 papers authored by 933 researchers. Key contributors such as Peter Pirolli and Margaret Burnett have significantly shaped the field. Initially rooted in cognitive psychology and human-computer interaction (HCI), IFT has since expanded its influence to domains including information science, organizational behaviour, and machine learning. Core concepts of IFT, such as information scent and information patches, have been empirically validated, reinforcing their importance in understanding user behaviour. Publication trends highlight a peak in research activity around 2012, followed by fluctuations and a recent resurgence. The prominence of conference papers reflects the dynamic and rapidly evolving nature of the field. Keyword analysis identifies research clusters focusing on human decision-making, user interfaces, information retrieval, visualization, social networking, and behavioural studies, demonstrating the interdisciplinary application of IFT. Emerging themes such as cognitive load, uncertainty, virtual reality, and big data point to promising new research directions. This overview underscores IFT's significant contributions and ongoing relevance in understanding of human information-seeking behaviour and optimizing systems to meet user needs.

Authors

Institutions

Publication Details

Journal
Malaysian Journal of Library & Information Science
Published
2024-12-30
DOI
https://doi.org/10.22452/mjlis.vol29no3.6
Citations
1
Primary Topic
Information Retrieval and Search Behavior
Type
article
Field-Weighted Citation Impact
0.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thirty-two years of research on information foraging theory: Evolution, key contributions and emerging directions

Williams Ezinwa Nwagwu
1 citations
Malaysian Journal of Library & Information Science
Information Retrieval and Search Behavior
0.78
article

Thirty-two years of research on information foraging theory: Evolution, key contributions and emerging directions

Williams Ezinwa Nwagwu
article en
1 citations

Abstract

This paper examines the evolution and future directions of Information Foraging Theory (IFT) research over the past 32 years (1992–2023). The findings reveal a sustained interest in IFT, with an average of 14 publications per year, culminating in a total of 449 papers authored by 933 researchers. Key contributors such as Peter Pirolli and Margaret Burnett have significantly shaped the field. Initially rooted in cognitive psychology and human-computer interaction (HCI), IFT has since expanded its influence to domains including information science, organizational behaviour, and machine learning. Core concepts of IFT, such as information scent and information patches, have been empirically validated, reinforcing their importance in understanding user behaviour. Publication trends highlight a peak in research activity around 2012, followed by fluctuations and a recent resurgence. The prominence of conference papers reflects the dynamic and rapidly evolving nature of the field. Keyword analysis identifies research clusters focusing on human decision-making, user interfaces, information retrieval, visualization, social networking, and behavioural studies, demonstrating the interdisciplinary application of IFT. Emerging themes such as cognitive load, uncertainty, virtual reality, and big data point to promising new research directions. This overview underscores IFT's significant contributions and ongoing relevance in understanding of human information-seeking behaviour and optimizing systems to meet user needs.

Malaysian Journal of Library & Information ScienceVol. 29(3)
University of Ibadan (NG)
Openalex Percentile: Top 17%
Information Retrieval and Search Behavior
0.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.