This article was accepted into the corpus but its outbound wikilinks were never NER-processed — typical at the deepest BFS hop or when the run's entity cap was reached. No expansion funnel to show.
| Computers in Human Behavior | |
|---|---|
| Title | Computers in Human Behavior |
| Discipline | Psychology; Computer Science; Sociology |
| Publisher | Elsevier |
| Country | Netherlands |
| Frequency | Monthly |
| Established | 1985 |
| Issn | 0747-5632 |
Computers in Human Behavior
Computers in Human Behavior is a multidisciplinary topic examining interactions among humans and computational systems, informed by research traditions stemming from Allen Newell, Herbert A. Simon, Donald Norman, Sherry Turkle, and institutions such as Massachusetts Institute of Technology, Stanford University, University of Cambridge, Harvard University and University of Oxford. Research integrates theoretical lineages from B.F. Skinner, Sigmund Freud, Jean Piaget, Lev Vygotsky and Carl Rogers with technical advances originating at Bell Labs, Xerox PARC, IBM, Microsoft Research, and Google Research. The field spans human-centered design at IDEO, human–computer interaction at ACM SIGCHI, cognitive modeling inspired by John R. Anderson, and applied studies in environments like World Health Organization, United Nations, European Commission, and NASA.
The Introduction situates the field within broader scholarly networks linking pioneers such as Alan Turing, Claude Shannon, Norbert Wiener, Ada Lovelace and John von Neumann to applied labs at Carnegie Mellon University, Princeton University, California Institute of Technology, University of California, Berkeley and Georgia Institute of Technology. Key influencers include designers at Apple Inc., IDEO, and Frog Design and ethicists from Oxford Internet Institute, Berkman Klein Center, AI Now Institute and Future of Humanity Institute. Methodological antecedents derive from work by Kurt Lewin, Wilhelm Wundt, William James, Edward Titchener and Noam Chomsky. Major venues for dissemination include Proceedings of the ACM CHI, IEEE Transactions on Affective Computing, Journal of Experimental Psychology: Applied, and conferences like NeurIPS, AAAI Conference on Artificial Intelligence, International Conference on Machine Learning and European Conference on Cognitive Ergonomics.
Theoretical frameworks draw on cognitive architectures from ACT-R developers linked to Carnegie Mellon University and connectionist models influenced by Geoffrey Hinton, Yann LeCun, Yoshua Bengio, and research groups at University of Montreal and Facebook AI Research. Social cognition approaches reference work by Albert Bandura, Elizabeth Loftus, Stanley Milgram, Solomon Asch, and Philip Zimbardo; sociotechnical systems models trace to Bruno Latour, Lucy Suchman, Hector Garcia-Molina, and Judy Olson. Interaction paradigms include human factors concepts from Frederick Winslow Taylor-inspired ergonomics, usability heuristics by Jakob Nielsen, and distributed cognition advanced at University College London and Max Planck Institute for Human Cognitive and Brain Sciences. Computational models incorporate reinforcement learning from Richard Sutton and Andrew Barto, Bayesian models used by David Mackay and Radford Neal, and embodied cognition research at California Institute of Technology.
Applications span health interventions at Mayo Clinic, Cleveland Clinic, Johns Hopkins University Hospital, educational technologies tested by Khan Academy, Coursera, edX, workplace systems adopted at Deloitte, McKinsey & Company, and entertainment products from Netflix, Electronic Arts, and Nintendo. Social media dynamics involve platforms run by Facebook, Twitter, Instagram, TikTok, and YouTube; recommender systems research connects to teams at Amazon and Spotify. Smart environments draw on projects at MIT Media Lab, Samsung Research, Siemens, and Bosch. Accessibility and assistive technology efforts link to Microsoft Accessibility, Apple Accessibility, World Health Organization initiatives, and advocacy by American Foundation for the Blind.
Work in this area examines mental health outcomes studied by teams at National Institute of Mental Health, Royal Society, Centers for Disease Control and Prevention, and clinicians at Mayo Clinic; impacts on attention and cognition reference experiments by Daniel Kahneman, Amos Tversky, Elliot Turiel, and Herbert Simon. Research on identity, self-presentation and relationships builds on scholarship by Erving Goffman, Michel Foucault, Judith Butler, Anthony Giddens, and empirical studies at Pew Research Center, Gallup, RAND Corporation, and The Brookings Institution. Work on misinformation, polarization, and echo chambers connects to analyses by Cass Sunstein, Eli Pariser, Clay Shirky, and investigations by United States Congress committees and European Parliament hearings. Studies of workplace automation, skills displacement, and labor markets reference reports from International Labour Organization, Organisation for Economic Co-operation and Development, and research at Harvard Business School and London School of Economics.
Measurement approaches employ psychometrics rooted in work by Charles Spearman, L.L. Thurstone, Alfred Binet, Edward Thorndike, and statistical frameworks by Ronald Fisher, Jerzy Neyman, Karl Pearson, and John Tukey. Methods combine experimental paradigms from Stanford University labs, longitudinal cohort studies like those at Framingham Heart Study, and large-scale observational analytics using infrastructure from Amazon Web Services, Google Cloud Platform, Microsoft Azure, and datasets curated by Kaggle. Computational techniques include natural language processing advanced by Christopher Manning, Dan Jurafsky, and Hinrich Schütze; network analysis owes to Mark Granovetter, Duncan Watts, and Linton Freeman; causal inference leverages methods advocated by Judea Pearl, Donald Rubin, and Guido Imbens.
Ethical debate engages scholars from Harvard Law School, Yale Law School, Stanford Law School, University of Chicago Law School, and think tanks such as OpenAI, Electronic Frontier Foundation, Center for Democracy & Technology, Brookings Institution, and Chatham House. Legal frameworks intersect with legislation like acts debated in United States Congress, European Commission regulations informed by General Data Protection Regulation, and policy work at United Nations Educational, Scientific and Cultural Organization and Council of Europe. Topics include algorithmic fairness researched at Stanford Human-Centered AI, accountability frameworks from Alan Turing Institute, privacy scholarship by Daniel J. Solove, and bioethics discourse at The Hastings Center.
Future directions explore integration of advances from DeepMind, OpenAI, IBM Research, Microsoft Research, and startups incubated at Y Combinator, with emergent hardware from NVIDIA, Intel, AMD, and quantum computing efforts at IBM Q, Google Quantum AI, and Rigetti Computing. Cross-disciplinary collaborations are expected between centers like Wellcome Trust, National Institutes of Health, European Research Council, and laboratories at SRI International, Bell Labs and Los Alamos National Laboratory. Anticipated topics include human-AI teaming cultivated in projects at DARPA, regulation and governance studies in G7 and G20 fora, and sociotechnical resilience work aligned with Intergovernmental Panel on Climate Change scenarios.
Category:Human–computer interaction Category:Psychology of technology