Psychometric function analysis figure
Psychophysical methods turn perceptual reports and responses into quantitative evidence.

Psychophysics

Measuring perception, action, and user experience

Psychophysics provides the measurement backbone of the research programme. It is used to quantify what people perceive, how reliably they can discriminate sensory signals, how their judgments change with context, and how experimental apparatus affects the signals that reach the observer.

The methods include thresholds, just-noticeable differences, points of subjective equality, psychometric functions, reaction-time analysis, duration judgments, temporal-order judgments, forced-choice tasks, user evaluations, and studies of adaptation and recalibration. These tools make it possible to connect behaviour to the physical properties of stimuli and to the design constraints of devices.

Psychophysics is also central to translation. Whether the goal is a wearable haptic system, a VR hand-tracking method, an XR interaction technique, a music rehearsal platform, or a tactile ageing study, behavioural measurement provides the evidence needed to decide what works, what fails, and what people actually perceive.

Key Questions

What can people detect, discriminate, judge, or act on under controlled sensory conditions?
Which psychophysical methods best estimate thresholds, bias, uncertainty, and response reliability?
How do apparatus, timing, task design, and user experience affect perceptual measurements?
How can behavioural evidence guide haptic, XR, multisensory, and modelling research?

Related Keywords

Portfolio and Resources

Featured Publications

Articles in psychophysics 26

(2015). Speed/accuracy tradeoff in force perception. Journal of Experimental Psychology: Human Perception and Performance.

PDF Cite DOI

(2014). Perceived Softness of Composite Objects. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).

PDF Cite DOI

(2014). Response time-dependent force perception during hand movement. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).

PDF Cite DOI

Related Research Areas