Emotion Monitoring – Verification of Physiological Characteristics Measurement Procedures

Landowska, Agnieszka

doi:10.2478/mms-2014-0049

Cited by 27 publications

(21 citation statements)

References 21 publications

(20 reference statements)

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“…Another interesting approach would be incorporating some physiological measurements, which could be indicators of stress. However, this would require usage of special devices and coping with the problem of the sensitiveness of some biometric sensors to finger movements [16] [17]. Thus it could not be implemented in an experiment performed in a real life situation as the one described.…”

Section: B Limitationsmentioning

confidence: 99%

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Towards detecting programmers’ stress on the basis of keystroke dynamics

Kołakowska¹

2016

Annals of Computer Science and Information Systems

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Abstract-The article describes the idea of detecting stress among programmers on the basis of keystroke dynamics. An experiment with a group of students of artificial intelligence classes was performed. Two samples of keystroke data were recorded for each case, the first while programming without stress, the second under time pressure. A number of timing and frequency parameters were calculated for each sample. Then statistical analysis was performed to evaluate the significance of keystroke parameters changes. It turned out that some of the defined features might be indicators of being stressed.

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Section: B Limitationsmentioning

confidence: 99%

“…Not all of them seem practical in any situation, e.g. physiological signals not only require specialized devices and disturb computer users, but these measurements are also disturbed by motions typical for human-computer interaction [17].…”

Section: Introductionmentioning

confidence: 99%

Towards detecting programmers’ stress on the basis of keystroke dynamics

Kołakowska¹

2016

Annals of Computer Science and Information Systems

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“…We used 2 skin conductance sensors placed on: left-hand fingers and right-hand wrist (for right-handed participants). The locations of the sensors were chosen based on a previous study on the interference of mouse and keyboard usage movements with physiological signals from the fingers [25].…”

Section: Resultsmentioning

confidence: 99%

“…The proxy metric for the skin conductance input channel was the number of events that disrupt the channel per time unit (minute) and the events were defined as mouse clicks, which introduced movement artefacts to the EDA signal. The SC sensors (we used two) were placed on the base of the finger and on the wrist [25] and although not all mouse clicks introduced artefacts, most of them did.…”

Section: Operationalisation Of Experiments Variablesmentioning

confidence: 99%

Limitations of Emotion Recognition in Software User Experience Evaluation Context

Landowska¹,

Miler²

2016

Annals of Computer Science and Information Systems

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Abstract-This paper concerns how an affective-behaviouralcognitive approach applies to the evaluation of the software user experience. Although it may seem that affect recognition solutions are accurate in determining the user experience, there are several challenges in practice. This paper aims to explore the limitations of the automatic affect recognition applied in the usability context as well as to propose a set of criteria to select input channels for affect recognition. The results are revealed via a semi-experiment based on the case study of an educational game. As a result, a number of concerns were identified, providing a list of pros and cons for affective computing methods applied in the usability testing context. The lessons learned might be interesting for both researchers that develop emotion recognition algorithms and for practitioners, who apply them to diverse areas.

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“…The proper choice of measured parameters, as well as placement of the electrodes, was based on the data obtained from the literature. [5][6][7][8][9][10][11][12] The heart rate can be obtained from electrocardiographic sensor, placed on chest, or from blood-volume pulse sensor, placed on¯nger tips or ears. [5][6][7] In the experiment, blood volume pulse (BVP) was recorded in two locations simultaneously (ears and¯ngers) in order to immune to movement artifacts.…”

Section: Experiments 21 Experiments Designmentioning

confidence: 99%

System supporting behavioral therapy for children with autism

Jędrzejewska‐Szczerska

Karpienko

Landowska

2015

J. Innov. Opt. Health Sci.

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In this paper, a system supporting behavioral therapy for autistic children is presented. The system consists of sensors network, base station and a brooch indicating person's emotional states. The system can be used to measure values of physiological parameters that are associated with changes in the emotional state. In the future, it can be useful to inform the autistic child and the therapist about the emotional state of the interlocutor objectively, on the basis of performed measurements. The selected physiological parameters were chosen during the experiment which was designed and conducted by authors. In this experiment, a group of volunteers under controlled conditions was exposed to a stressful situation caused by the picture or sound. For each of the volunteers, a set of physiological parameters, was recorded, including: skin conductance, heart rate, peripheral temperature, respiration rate and electromyography. The bio-statistical analysis allowed us to discern the proper physiological parameters that are most associated to changes due to emotional state of a patient, such as: skin conductance, temperatures and respiration rate. This allowed us to design electronic sensors network for supporting behavioral therapy for children with autism.

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Emotion Monitoring – Verification of Physiological Characteristics Measurement Procedures

Cited by 27 publications

References 21 publications

Towards detecting programmers’ stress on the basis of keystroke dynamics

Towards detecting programmers’ stress on the basis of keystroke dynamics

Limitations of Emotion Recognition in Software User Experience Evaluation Context

System supporting behavioral therapy for children with autism

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