Applicability of Emotion Recognition and Induction Methods to Study the Behavior of Programmers

Wróbel, Michał R.

doi:10.3390/app8030323

Cited by 18 publications

(9 citation statements)

References 37 publications

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“…In the second set of works, authors investigate software practitioners, by means of sensors. These sensors range from keyboard and mouse (Estrada et al, 2018;Vea and Rodrigo, 2017) to more complicated and sometimes mixed systems to collect biometric data including eye-related, skin-related, breathing-related, heart-related and brain-related (Fritz and M€ uller, 2016;Wrobel, 2018;Z€ uger and Fritz, 2018). This is not relevant for this paper either.…”

Section: Emotions In Software Workmentioning

confidence: 99%

Coding vs presenting: a multicultural study on emotions

Colomo‐Palacios

Casado‐Lumbreras

Álvarez-Rodríguez

et al. 2020

ITP

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PurposeThe purpose of this paper is to explore and compare emotions perceived while coding and presenting for software students, comparing three different countries and performing also a gender analysis.Design/methodology/approachEmpirical data are gathered by means of the discrete emotions questionnaire, which was distributed to a group of students (n = 174) in three different countries: Norway, Spain and Turkey. All emotions are self-assessed by means of a Likert scale.FindingsThe results show that both tasks are emotionally different for the subjects of all countries: presentation is described as a task that produces mainly fear and anxiety; whereas coding tasks produce anger and rage, but also happiness and satisfaction. With regards to gender differences, men feel less scared in presentation tasks, whereas women report more desire in coding activities. It is concluded that it is important to be aware and take into account the different emotions perceived by students in their activities. Moreover, it is also important to note the different intensities in these emotions present in different cultures and genders.Originality/valueThis study is among the few to study emotions perceived in software work by means of a multicultural approach using quantitative research methods. The research results enrich computing literacy theory in human factors.

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Section: Emotions In Software Workmentioning

confidence: 99%

Coding vs presenting: a multicultural study on emotions

Colomo‐Palacios

Casado‐Lumbreras

Álvarez-Rodríguez

et al. 2020

ITP

View full text Add to dashboard Cite

show abstract

“…Moreover, a discriminant tree-based model is used to assess the possible underlying relationship among parameters. A third paper describes a study carried out on a group of 35 participants to determine which methods and tools to recognize the emotions of computer users can be used during programming [11]. During the study, data from multiple sensors that are commonly used in methods of emotional recognition are collected.…”

Section: The Papersmentioning

confidence: 99%

Special Issue on Socio-Cognitive and Affective Computing

et al. 2018

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“…As to TTS, different applications such as smart environments, virtual assistants, intelligent robots, and call centers have set requirements for different speech styles identified with corresponding emotional expressions [4]. Recognition of emotions in HMI is not restricted to speech analysis only, but also image analysis (facial expression recognition, eye-tracking data) and physiological signals (pulse rate, skin conductance, facial electromyography, electroencephalography (EEG) signal) [5]. Emotion recognition in spoken dialogue systems such as call centers provides a possibility to respond to callers according to the detected emotional state or to pass control over to human operators [2,[6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Call Redistribution for a Call Center Based on Speech Emotion Recognition

2020

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Call center operators communicate with callers in different emotional states (anger, anxiety, fear, stress, joy, etc.). Sometimes a number of calls coming in a short period of time have to be answered and processed. In the moments when all call center operators are busy, the system puts that call on hold, regardless of its urgency. This research aims to improve the functionality of call centers by recognition of call urgency and redistribution of calls in a queue. It could be beneficial for call centers giving health care support for elderly people and emergency call centers. The proposed recognition of call urgency and consequent call ranking and redistribution is based on emotion recognition in speech, giving greater priority to calls featuring emotions such as fear, anger and sadness, and less priority to calls featuring neutral speech and happiness. Experimental results, obtained in a simulated call center, show a significant reduction in waiting time for calls estimated as more urgent, especially the calls featuring the emotions of fear and anger.

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Applicability of Emotion Recognition and Induction Methods to Study the Behavior of Programmers

Cited by 18 publications

References 37 publications

Coding vs presenting: a multicultural study on emotions

Coding vs presenting: a multicultural study on emotions

Special Issue on Socio-Cognitive and Affective Computing

Call Redistribution for a Call Center Based on Speech Emotion Recognition

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