Loading…

Demand characteristics in human–computer experiments

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 the...

Full description

Saved in:
Bibliographic Details
Published in:International journal of human-computer studies 2025-01, Vol.193, p.103379, Article 103379
Main Authors: Iarygina, Olga, Hornbæk, Kasper, Mottelson, Aske
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. In this paper, we present two experiments that underline the importance of demand characteristics in human–computer interaction experiments. In a text-entry study, we made participants believe they were evaluating a research-based keyboard. This belief led to increased performance and self-reported user experience. In a second study, we conducted a thought experiment on the illusion of body ownership in virtual reality, where the experimental design indicated the study hypothesis. We found hypothesis-compliant responses from participants, even when they did not experience the illusion. We conclude that demand characteristics pose a significant challenge to the interpretation and validity of human–computer experiments, even when they are fully automated. We discuss the implications and offer guidelines to mitigate effects of demand characteristics. •Demand characteristics are cues that can inform participants about the hypothesis.•Demand characteristics can influence participant’s behavior.•Demand characteristics often go uncontrolled, especially for objective measures.•Demand characteristics affect experiment outcomes even when experimenter is absent.•Demand characteristics may confound both objective and subjective measurements.
ISSN:1071-5819
DOI:10.1016/j.ijhcs.2024.103379