Video
summary
A team runs a controlled A/B biometric study with 60 participants watching 10 scripted videos and measures valence with facial EMG (and discusses skin conductance for arousal). Moving homepage images produce a clear positive EMG spike versus static images, and user‑story videos with simple, relatable pain‑points yield the strongest responses. Analysis needs baselines, smoothing and removal of nonresponders, and care about movement artifacts; negative EMG is ambiguous while positive signals give the most diagnostic value.
AI-written summary · about
chapters (19)
- 0:00Introduction
- 3:07Different Approaches
- 5:26Limitations
- 7:18Psychophysiological Measurement
- 10:10Physiological Arousal
- 11:47Biometrics
- 14:57Measuring delight
- 18:43Designing the study
- 23:08Impact of delightful content
- 29:18Best features
- 30:56What can we do
- 32:53Emotion is critical
- 33:50Delightful Content vs Test
- 34:58Biometric Levels
- 36:11Individual Highs and Lows
- 37:25Longitudinal Studies
- 37:58User Interaction
- 40:57External Validity
- 42:46Why Biometrics
related talks
32mUnderstanding and Measuring User Emotions: The Missing Puzzle Piece
19mNeuroanatomical Correlates of Perceived Usability
24mHow to Target UX to Different Psychographics
22mEye tracking the user experience – should you?
09mInvestigating the Effects of Virtual Patients’ Nonsensical Responses on Users’ Facial ...
10mNon-isomorphic Interaction Techniques for Controlling Avatar Facial Expressions in VR
07mActions, not gestures: contextualising embodied controller interactions in immersive virtual reality
06mGame Atmosphere: Effects of Audiovisual Thematic Cohesion on Player Experience and Psychophysiology
