Technology and Temporal Disruption

‘Modern times’ are consistently associated with a sense of temporal acceleration and disruption brought on by the breakneck speed of modern sociotechnology. But how does modern sociotechnology impact our sense of time and temporality? This paper seeks to establish the relationship between human time and technology in order to explain the contemporary phenomenon of temporal disruption. In the first case, I will argue that human temporality and temporal cognition have always been hybrid structures: involving both biological and sociotechnological components. Second, I will argue that understanding the hybrid structure of human time provides a systematic framework for diagnosing disruptive effects of contemporary sociotechnology. Contrary to commonplace presuppositions that temporal disruptions are caused by sociotechnological integration, dirsuptions result from the disintegration of the biological and sociotechnological components of hybrid human temporality. By combining insights from neuroanthropology and the neuroscience of temporal cognition, I will argue that human temporal capacities, such as memory and our sense of time, were at all times partly sociotechnological, hybrid structures. I will then review sociological research concerning the relationship between modern technology and human time and show how recognizing the hybrid structure of human temporality adds crucial theoretical resources for identifying and dealing with the problem of temporal disruption.

Authors

Institutions

Publication Details

Journal
Review of Philosophy and Psychology
Published
2026-03-03
DOI
https://doi.org/10.1007/s13164-026-00812-4
Primary Topic
Humanities and Social Sciences
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Technology and Temporal Disruption

Mads J. Dengsø
Review of Philosophy and Psychology
Humanities and Social Sciences
article

Technology and Temporal Disruption

Mads J. Dengsø
article en

Abstract

‘Modern times’ are consistently associated with a sense of temporal acceleration and disruption brought on by the breakneck speed of modern sociotechnology. But how does modern sociotechnology impact our sense of time and temporality? This paper seeks to establish the relationship between human time and technology in order to explain the contemporary phenomenon of temporal disruption. In the first case, I will argue that human temporality and temporal cognition have always been hybrid structures: involving both biological and sociotechnological components. Second, I will argue that understanding the hybrid structure of human time provides a systematic framework for diagnosing disruptive effects of contemporary sociotechnology. Contrary to commonplace presuppositions that temporal disruptions are caused by sociotechnological integration, dirsuptions result from the disintegration of the biological and sociotechnological components of hybrid human temporality. By combining insights from neuroanthropology and the neuroscience of temporal cognition, I will argue that human temporal capacities, such as memory and our sense of time, were at all times partly sociotechnological, hybrid structures. I will then review sociological research concerning the relationship between modern technology and human time and show how recognizing the hybrid structure of human temporality adds crucial theoretical resources for identifying and dealing with the problem of temporal disruption.

Review of Philosophy and Psychology
University of Wollongong (AU)
Openalex Percentile: Top 43%
Humanities and Social Sciences
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.