Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
The dominant paradigm in Human-Computer Interaction (HCI) and consumer softwareengineering posits the systematic elimination of interaction resistance—termed "SeamlessUX"—as the primary index of architectural optimization. This paper presents a structuralcritique of frictionless interaction models across neurobiological, game-theoretic, cybernetic,and infrastructural dimensions. We demonstrate that zero-friction interfaces actively inducecognitive passivity, degrade supervisory prefrontal control, and externalize severe tail risksonto human operators, culminating in systemic socio-technical vulnerabilities such as MultiFactor Authentication (MFA) fatigue exploits and Automated Transfer System (ATS) bankingcompromises.Applying Daniel Kahneman’s dual-process cognitive architecture and Donald Broadbent’slearning modes, we evaluate how sensory habituation and motor automation erodeoperational vigilance. We formalize interface design as a non-cooperative game,demonstrating that absent regulatory intervention, platform market competition produces aPareto-suboptimal Nash Equilibrium characterized by stripped verification checkpoints andasymmetric risk externalization. We expose the hidden operational expenditure (OPEX)inflation of flat friction curves, proving that unmitigated seamlessness shifts costs tocustomer support escalation, fraud litigation, and catastrophic user churn. Applying W. RossAshby’s Law of Requisite Variety, we establish why one-dimensional software confirmationchannels cannot regulate high-variety socio-technical disturbance vectors, extending thiscybernetic limit to synthetic, homogeneous AI testing environments. Finally, we propose theCybernetic Triad of Intentional Friction: a structural design framework establishing spatialmotor discontinuity, orthogonal dimensional variety, non-linear risk-scaled friction, andhardware-enforced boundaries to restore cognitive agency and local data sovereignty insafety-critical computing environments.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.
O. Salo, P. Abrahamsson· IET Software· 238 citations· ⚡9
Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· Journal of Systems and Softw...· 236 citations· ⚡13
The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.
P. Abrahamsson, Antti Hanhineva, H. Hulkko et al.· Conference on Object-Oriente...· 225 citations· ⚡18
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Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
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