Emotion Monitor - Concept, Construction and Lessons Learned

Landowska, Agnieszka

doi:10.15439/2015f264

Cited by 11 publications

(12 citation statements)

References 20 publications

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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%

“…visual [5], depth [6], audio [7], textual [8], physiological [9], standard input devices [10]- [15] or multi-modal input [16]. Not all of them seem practical in any situation, e.g.…”

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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“…The case study was carried out in 2016 at the Emotion Monitor Stand at Gdansk University of Technology [26]. The The following equipment was used: (1) Biograph Infiniti Physiology Suite software; (2) for video analysis: a standard Internet camera and video capture software from Logitech, for analysis of facial expressions, Noldus FaceReader was used; (3) for screen capture and user activity tracking and analysis -Morae Recorder, Observer and Manager were used.…”

Section: Resultsmentioning

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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“…Biometric signals provide objective information about reactions of the human body to emotional stimuli. Nevertheless, current knowledge does not allow unambiguous assignment of emotional states on the basis of this data [9].…”

Section: Studies On Emotions Of Software Developersmentioning

confidence: 85%

Towards the participant observation of emotions in software developers teams

Wróbel

2016

Annals of Computer Science and Information Systems

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Abstract-Emotions, moods and temperament influence our behaviour in every aspect of life. Until now plenty of research has been conducted and many theories have been proposed to explain the role of emotions within the working environment. However, in the field of software engineering, interest in the role of human factors in the process of software development is relatively new. In the paper the research design process that has been proposed details a novel approach using the method of participant observation in order to investigate the role of emotions in IT projects. The participant observation protocol presented was developed in an iterative manner, where successive phases were validated in two preliminary studies.

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Emotion Monitor - Concept, Construction and Lessons Learned

Cited by 11 publications

References 20 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

Towards the participant observation of emotions in software developers teams

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