“Are bad things bad?”: Technopsychology and the problem of unacknowledged normativity.

This article explores the problem of unacknowledged normativity, which is what happens when empirical studies treat normative concepts as if they were neutral. In doing so, studies end up asking open-ended questions about inherently normative concepts (“are bad things bad?”), which leads to pseudoempirical research and tautological findings. The article illustrates this problem through two case studies. The first case shows how popular concepts like “phubbing,” “technoference,” and “problematic media use” carry explicitly negative connotations, yet are treated as neutral in empirical studies, which leads to tautological conclusions about their detrimental impact on relationship satisfaction. The second case examines the concept of “media multitasking” and demonstrates that many studies equate multitasking with distraction, which leads to circular conclusions about its negative effects on academic performance. Finally, the article argues for the adoption of Wittgensteinian conceptual analysis to address this problem. By mapping the grammar of key concepts and scrutinizing their operational definitions, researchers can better understand the inherent normativity of their concepts and avoid pseudoempirical research. Ultimately, this approach aims to enhance the conceptual rigor and clarity of empirical psychological studies.

Authors

Institutions

Publication Details

Journal
Technology Mind and Behavior
Published
2025-01-01
DOI
https://doi.org/10.1037/tmb0000160
Citations
2
Primary Topic
Neuroethics, Human Enhancement, Biomedical Innovations
Type
article
Field-Weighted Citation Impact
2.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“Are bad things bad?”: Technopsychology and the problem of unacknowledged normativity.

Jesper Aagaard
2 citations
Technology Mind and Behavior
Neuroethics, Human Enhancement, Biomedical Innovations
2.86
article

“Are bad things bad?”: Technopsychology and the problem of unacknowledged normativity.

Jesper Aagaard
article en
2 citations

Abstract

This article explores the problem of unacknowledged normativity, which is what happens when empirical studies treat normative concepts as if they were neutral. In doing so, studies end up asking open-ended questions about inherently normative concepts (“are bad things bad?”), which leads to pseudoempirical research and tautological findings. The article illustrates this problem through two case studies. The first case shows how popular concepts like “phubbing,” “technoference,” and “problematic media use” carry explicitly negative connotations, yet are treated as neutral in empirical studies, which leads to tautological conclusions about their detrimental impact on relationship satisfaction. The second case examines the concept of “media multitasking” and demonstrates that many studies equate multitasking with distraction, which leads to circular conclusions about its negative effects on academic performance. Finally, the article argues for the adoption of Wittgensteinian conceptual analysis to address this problem. By mapping the grammar of key concepts and scrutinizing their operational definitions, researchers can better understand the inherent normativity of their concepts and avoid pseudoempirical research. Ultimately, this approach aims to enhance the conceptual rigor and clarity of empirical psychological studies.

Technology Mind and BehaviorVol. 6(1)
Aarhus University (DK)
Reduced inequalities
Openalex Percentile: Top 11%
Neuroethics, Human Enhancement, Biomedical Innovations
2.86
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.