Electrophysiologically interactive computer systems

Allanson, J.

doi:10.1109/2.989931

Cited by 27 publications

(18 citation statements)

References 3 publications

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“…Second, physiological signals can be used to measure the user's spontaneous activity that is not voluntarily controlled. When used in this way, physiological signals can extend HCI beyond voluntary control [1]. Heart rate is a promising measure for monitoring the spontaneous activity because it cannot be controlled as easily as, for example, gestures of facial activity such as smiling or frowning.…”

Section: Introductionmentioning

confidence: 99%

Emotions and heart rate while sitting on a chair

Anttonen

Surakka

2005

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

139

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New methods for unobtrusive monitoring of computer users' emotion psychophysiology are very much needed in human-computer interaction research. The present aim was to study heart rate changes during emotionally provocative stimulation. Six-second long auditory, visual, and audiovisual emotionally negative, neutral, and positive stimuli were presented to 24 participants. Heart rate responses were measured with a regular office chair embedded with electromechanical film (the EMFi chair) and with traditional earlobe photoplethysmography (PPG). Ratings of the stimuli were also collected. The results showed that the two heart rate measurements were significantly correlated, r = 0.99. In line with other studies the results showed that, in general, heart rate decelerated in response to emotional stimulation and it decelerated the most in response to negative stimuli as compared with responses to positive and neutral stimuli. Especially, emotional stimulation caused significant changes in heart rate at the 6 th second from the stimulus onset. We suggest that the EMFi chair could be used in human-computer interaction for unobtrusive measurement of the user's emotional reactions.

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Section: Introductionmentioning

confidence: 99%

Emotions and heart rate while sitting on a chair

Anttonen

Surakka

2005

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

139

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“…Furthermore, indirect or self-report measures of affect have been shown to have some amount of method bias [6] which may cause certain emotional states to be over or under reported by the participants. As physiological responses are involuntary and often very sensitive, the effect of deception on the part of the participant is also negligible [7].…”

Section: Inferring Affect Ive Statementioning

confidence: 99%

An open affective platform

Thompson

Koziniec

McGill

2012

2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA)

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“…This sensor model for nonconventional controllers was applied in many domains, including electrophysiological interaction systems with sensors for human physiological signals (44). In this sensor interaction model, a stream of raw data from the sensing hardware, for example, EEG data, passes through up to two levels of signal preprocessing before it is either passed to an application or presented directly to a subject.…”

Section: Functional Integrationmentioning

confidence: 99%

“…For example, physical rehabilitation biofeedback systems can amplify weak muscle signals, which encourages patients to persist when there is a physical response to therapy that is generally not visible (44). Interfaces in existing biofeedback applications range from interactive 2-D graphical tasks-in which muscle signals are amplified and transformed into control tasks such as lifting a virtual object or typing-to real-world physical tasks such as manipulating radio-controlled toys (8).…”

Section: Biofeedbackmentioning

confidence: 99%