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Alam S, Khazaei S, Faghih RT. Unveiling productivity: The interplay of cognitive arousal and expressive typing in remote work. PLoS One 2024; 19:e0300786. [PMID: 38748663 PMCID: PMC11095729 DOI: 10.1371/journal.pone.0300786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/05/2024] [Indexed: 05/19/2024] Open
Abstract
Cognitive Arousal, frequently elicited by environmental stressors that exceed personal coping resources, manifests in measurable physiological markers, notably in galvanic skin responses. This effect is prominent in cognitive tasks such as composition, where fluctuations in these biomarkers correlate with individual expressiveness. It is crucial to understand the nexus between cognitive arousal and expressiveness. However, there has not been a concrete study that investigates this inter-relation concurrently. Addressing this, we introduce an innovative methodology for simultaneous monitoring of these elements. Our strategy employs Bayesian analysis in a multi-state filtering format to dissect psychomotor performance (captured through typing speed), galvanic skin response or skin conductance (SC), and heart rate variability (HRV). This integrative analysis facilitates the quantification of expressive behavior and arousal states. At the core, we deploy a state-space model connecting one latent psychological arousal condition to neural activities impacting sweating (inferred through SC responses) and another latent state to expressive behavior during typing. These states are concurrently evaluated with model parameters using an expectation-maximization algorithms approach. Assessments using both computer-simulated data and experimental data substantiate the validity of our approach. Outcomes display distinguishable latent state patterns in expressive typing and arousal across different computer software used in office management, offering profound implications for Human-Computer Interaction (HCI) and productivity analysis. This research marks a significant advancement in decoding human productivity dynamics, with extensive repercussions for optimizing performance in telecommuting scenarios.
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Affiliation(s)
- Samiul Alam
- Department of ECE, University of Houston, Houston, Texas, United States of America
| | - Saman Khazaei
- Department of Biomedical Engineering, New York University, New York City, New York, United States of America
| | - Rose T. Faghih
- Department of ECE, University of Houston, Houston, Texas, United States of America
- Department of Biomedical Engineering, New York University, New York City, New York, United States of America
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Tonacci A, Taglieri I, Sanmartin C, Billeci L, Crifaci G, Ferroni G, Braceschi GP, Odello L, Venturi F. Taste the emotions: pilot for a novel, sensors-based approach to emotional analysis during coffee tasting. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023. [PMID: 38009337 DOI: 10.1002/jsfa.13172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 11/28/2023]
Abstract
BACKGROUND Coffee is a natural drink with important properties for the human body and mind, capable of delivering energy and strong emotions, thus being appreciated since ancient times. The qualitative and quantitative assessment of the coffee properties is normally performed by trained panelists, though relying on standardized questionnaires, with possible biases arising. In this study, for the first time in the scientific literature, we applied a technology-based approach, based on the use of wearable sensors, to study the implicit emotional responses of a small cohort of experienced coffee judges, thus taking this chance to assess the feasibility of this approach in such a scenario. The merging of different technologies for capturing biomedical signals, including electrocardiogram, galvanic skin response, and electroencephalogram, was therefore adopted to retrieve results in terms of the relationships between implicit (i.e. psychophysiological) and explicit (i.e. derived from questionnaires) measurements. RESULTS Significant correlations were obtained between biomedical signals and data from the questionnaires within all the sensory domains (olfaction, vision, taste) investigated, particularly concerning autonomic-related features. CONCLUSIONS The results obtained confirmed the viability of this new approach in the psychophysical and emotional assessment in coffee tasting judges, paving the way for a new perspective into the universe of coffee quality assessment panels, eventually transferable to broader scale investigations, somewhat dealing with consumer satisfaction and neuromarketing at large. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Alessandro Tonacci
- Institute of Clinical Physiology, National Research Council of Italy (IFC-CNR), Pisa, Italy
| | - Isabella Taglieri
- Department of Agriculture, Food and Environment, University of Pisa, Pisa, Italy
- Interdepartmental Research Centre "Nutraceuticals and Food for Health", University of Pisa, Pisa, Italy
| | - Chiara Sanmartin
- Department of Agriculture, Food and Environment, University of Pisa, Pisa, Italy
- Interdepartmental Research Centre "Nutraceuticals and Food for Health", University of Pisa, Pisa, Italy
| | - Lucia Billeci
- Institute of Clinical Physiology, National Research Council of Italy (IFC-CNR), Pisa, Italy
| | - Giulia Crifaci
- Institute of Clinical Physiology, National Research Council of Italy (IFC-CNR), Pisa, Italy
| | - Giuseppe Ferroni
- Department of Agriculture, Food and Environment, University of Pisa, Pisa, Italy
| | | | - Luigi Odello
- Centro Studi Assaggiatori Società Cooperativa, Brescia, Italy
| | - Francesca Venturi
- Department of Agriculture, Food and Environment, University of Pisa, Pisa, Italy
- Interdepartmental Research Centre "Nutraceuticals and Food for Health", University of Pisa, Pisa, Italy
- Interdepartmental Centre for Complex Systems Studies, University of Pisa, Pisa, Italy
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