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Abstract
Demand characteristics refer to cues that can inform participants in experiments about the hypothesis and influence their behavior. They lead researchers to erroneously infer non-existing effects, undermining the experimental integrity of empirical studies. Despite a widespread acknowledgment of their confounding influence in experimental psychology, experiments involving humans and computers to a lesser extent consider effects of demand characteristics, as computerized protocols are thought to be immune to some experimenter biases. Furthermore, demand characteristics are considered to mainly effect subjective measures. As a result, demand characteristics often remain uncontrolled in studies involving computers, and in particular for objective measures such as performance.
Original language | English |
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Journal | International Journal of Human-Computer Studies |
Volume | 193 |
Number of pages | 14 |
ISSN | 1071-5819 |
DOIs | |
Publication status | Published - Nov 2024 |
Keywords
- Demand characteristics
- Experiments
- Confounds
- Bias
- Validity
- Human–computer interaction
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- 1 Active
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P1: Pioneer Centre for Artificial Intelligence
Sestoft, P. (PI), Plank, B. (CoI), Hansen, D. W. (CoI), Larsen, A. W. (CoI), Bogers, T. (CoI), Madsen, I. J. W. (CoI), Dixen, L. (CoI), Trinhammer, M. L. (CoI), Iarygina, O. (CoI), Grasshof, S. (CoI), Mottelson, A. (CoI), Burelli, P. (CoI), Risi, S. (CoI), Rogers, A. (CoI), van der Goot, R. (CoI), Coscia, M. (CoI), Hardmeier, C. (CoI) & Heinrich, S. (Collaborator)
Danish National Research Foundation
01/07/2021 → 30/06/2034
Project: Research