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to measure and model concrete man-companion interactions (see Table
3). There are, of course, definitions and measuring techniques for all
emotional components that lead to scale values and variables. Usually,
these operationalizations are not, however, designed for real-time
collection. Most suitable are behavior data (video), speech data (audio)
and psychobiology data, which can be gathered on a continuous basis
during the man-companion interaction. These measurements are not
very reactive, i.e. the measurement itself only has little influence on
the communicative process. While the measurements themselves are
unproblematic, the analysis of the data in real time is a major challenge.
Table 4.
Measurements of the emotions and dispositions in the component process model
of the emotional behavior based on emotion components.
Measurements
Emotions and
Dispositions
Subjective
Experience
Facial
Expressiveness
Psychobiology
Psychomotor
Behavior:
Gestures, body
movements,
attention, focus
Moods, core
affect
SAM,
affect grid,
interview
FACS, Ratings,
RTAutomatic
recognition
of facial
expressions
Partially through
ANS pattern, voice
parameters
Novelty
and Valence
(N&V)
SAM,
affect grid,
interview
FACS,
EM-FACS,
RTAutomatic
recognition
of facial
expressions
P300 (EEG),
EDA, EMG, voice
parameters
Head movement
(OR), defensive
reaction,
response time,
eye-tracking
Discrete
Emotions
(VAD, DES)
SAM,
affect grid,
Differential
Emotion
Scale (DES),
interview,
semantic
FACS, EM-
FACS, ratings,
response time
Partially through
ANS pattern, voice
parameters
Ratings,
automatic
gesture and
body movement
detection,
localization
Action
tendencies
Interview,
semantic
Partially through
EMG, hemispheric
shifts in the EEG
power spectrum,
voice parameters
Eye-tracking,
automatic
gesture and
body movement
detection
Motives
LMI,
interview
Rare
expressions
(contempt)
Eye-tracking
Personality
Traits
Personality
scales,
Interview
Partially through
ANS and CNS
patterns
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