Empirical Research Methods in HCI
Empirical research plays a crucial role in Human-Computer Interaction (HCI) by providing a structured approach to understanding user interactions with computing systems. It emphasizes the importance of data-driven design decisions, identification of usability issues, and the formulation of testable research questions. The chapter outlines the key aspects of designing empirical studies, including the determination of variables, experiment design, data analysis, and practical applications through a detailed case study.
Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Empirical research in HCI is vital for evidence-based design and validation of hypotheses.
- Effective research questions must be specific, measurable, achievable, relevant, and actionable.
- The validity of research encompasses internal and external validity, critical for accurate study conclusions.
Key Concepts
- -- Empirical Research
- A scientific investigation method focused on directly observing and experiencing user interactions with systems.
- -- Independent Variable (IV)
- The factor manipulated by the researcher in an experiment to observe its effect on a dependent variable.
- -- Dependent Variable (DV)
- The outcome measured in an experiment, which is influenced by changes in the independent variable.
- -- Validity
- The extent to which a study accurately reflects or assesses the specific concept that the researcher is attempting to measure.
- -- Measurement Scales
- Different levels of data measurement, including nominal, ordinal, interval, and ratio scales.
Additional Learning Materials
Supplementary resources to enhance your learning experience.