Mental Stress-Performance Model in Emotional Engineering

Zhao, Mengting; Yang, Daocheng; Liu, Siyun; Zeng, Yong

doi:10.1007/978-3-319-70802-7_9

Cited by 5 publications

(6 citation statements)

References 64 publications

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“…Overall, the emerged potential objectives of their exploitation in design and motivations for their diffusion can be summarized as in the followings. The study of designers' cognition, cognitive states (Mougenot et al ., 2009) and emotions (Zhao et al ., 2017). The inclusion of concepts from affective engineering (Balters and Steinert, 2017), emotional and Kansei engineering (Hsu et al ., 2017; Zhao et al ., 2017), so as to foster emotional design (Triberti et al ., 2017) or beauty through design (Khalighy et al ., 2015).…”

Section: Introductionmentioning

confidence: 99%

“…The study of designers' cognition, cognitive states (Mougenot et al ., 2009) and emotions (Zhao et al ., 2017). The inclusion of concepts from affective engineering (Balters and Steinert, 2017), emotional and Kansei engineering (Hsu et al ., 2017; Zhao et al ., 2017), so as to foster emotional design (Triberti et al ., 2017) or beauty through design (Khalighy et al ., 2015). The support of traditional methods by opening up new avenues in the understanding of usability (Hill and Bohil, 2016), user-product interaction (Jenkins et al ., 2009; Balters and Steinert, 2017; Mussgnug et al ., 2017), user experience (Mussgnug et al ., 2014; Jiao et al ., 2017), and user intent (Yang et al ., 2016).…”

Section: Introductionmentioning

confidence: 99%

“…The study of designers' cognition, cognitive states (Mougenot et al ., 2009) and emotions (Zhao et al ., 2017).…”

Section: Introductionmentioning

confidence: 99%

“…The inclusion of concepts from affective engineering (Balters and Steinert, 2017), emotional and Kansei engineering (Hsu et al ., 2017; Zhao et al ., 2017), so as to foster emotional design (Triberti et al ., 2017) or beauty through design (Khalighy et al ., 2015).…”

Section: Introductionmentioning

confidence: 99%

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Review of the use of neurophysiological and biometric measures in experimental design research

Borgianni

Maccioni

2020

AIEDAM

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AbstractDesign is inherently affected by human-related factors and it is of no surprise that the fine-tuning of instruments capable of measuring aspects of human behavior has attracted interest in the design field. The recalled instruments include a variety of devices that capture and quantitatively assess people's unintentional and unconscious reactions and that are generally referred as neurophysiological or biometric. The number of experimental applications of these instruments in design was extremely limited as of 2016, when Lohmeyer and Meboldt published a first report on relevant measures and their interpretation in design. In the last few years, the number of relevant publications has increased dramatically and this determines the opportunity to carry out a comprehensive review in the field. The reviewed contributions are analyzed and classified according to, among others, instruments used, the kind of stakeholders involved and the supported design research activities. The role of biometric measures with respect to traditional research methods is emphasized too. The discussed instruments can represent supports or substitutes for traditional approaches, as well as they are capable of exploring phenomena that could not be addressed hitherto. The intensity of research concerning experiments with biometric measurements is discussed too; a particular focus of the final discussion is the individuation of obstacles that prevent them from becoming commonplace in design research.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The study of designers' cognition, cognitive states (Mougenot et al ., 2009) and emotions (Zhao et al ., 2017).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Review of the use of neurophysiological and biometric measures in experimental design research

Borgianni

Maccioni

2020

AIEDAM

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“…Ekman's model is chosen as an example of discrete emotion model due to a series of theoretical discussion on basic emotions presented in (Ekman, 1992;Ledoux, 1998). Increasing effort has been made to investigate the influence of emotion (affect) on mental stress and performance (Kahneman, 1973;Bagozzi, Gopinath, & Nyer, 1999;Bechara, Damasio, & Damasio, 2000;Lazarus, 2006;Zhao et al, 2018). Scholars suggest that PA has a positive effect on one's mental capacity in promoting broader attention, increased organization and reinforced integration ability (Isen, 1993;Fredrickson, 2001).…”

Section: /47mentioning

confidence: 99%

A tEEG framework for studying designer’s cognitive and affective states

et al. 2020

Self Cite

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This paper proposes a task-related electroencephalogram research framework (tEEG framework) to guide scholars’ research on EEG-based cognitive and affective studies in the context of design. The proposed tEEG framework aims to investigate design activities with loosely controlled experiments and decompose a complex design process into multiple primitive cognitive activities, corresponding to which different research hypotheses on basic design activities can be effectively formulated and tested. Thereafter, existing EEG techniques and methods can be applied to analyse EEG signals related to design. Three application examples are presented at the end of this paper to demonstrate how the proposed framework can be applied to analyse design activities. The tEEG framework is presented to guide EEG-based cognitive and affective studies in the context of design. Existing methods and models are summarized, for the effective application of the tEEG framework, from the current literature spread in a wide spectrum of resources and fields.

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