CaLmi

Sykianaki, Eirini; Leonidis, Asterios; Antona, Margherita; Stephanidis, Constantine

doi:10.1145/3341162.3347074

Cited by 10 publications

(4 citation statements)

References 5 publications

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“…This served as a starting point for the ED research line focusing on the use of smart systems beyond the original vision that society has about smart homes. As can be seen in the previous work [10,11,15] and other works of the same nature [12][13][14], home automation allows the modulation of environmental variables within a inhabitable space to generate the ideal conditions in which the inhabitants have a sense of comfort and well-being that, as a result, decreases their stress levels.…”

Section: Discussionmentioning

confidence: 89%

“…Meanwhile, the emotion recognition task is carried out using non-invasive methods such as wearables and computer vision to acquire biometric data from the inhabitants [11]. There are similar works that implement smart home systems to recreate scenarios and use physiological sensors such as wearables to monitor stress levels [12][13][14]. In these works, predefined scenarios are generated for relaxation therapies, while stress levels are calculated using signals acquired from electrodermal activity and heart rate.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Framework for the Communication System Based on KNX for an Interactive Space for UX Evaluation

Lopez-Aguilar,

Bustamante-Bello,

Navarro-Tuch

et al. 2023

Sensors

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Domotics (Home Automation) aims to improve the quality of life of people by integrating intelligent systems within inhabitable spaces. While traditionally associated with smart home systems, these technologies have potential for User Experience (UX) research. By emulating environments to test products and services, and integrating non-invasive user monitoring tools for emotion recognition, an objective UX evaluation can be performed. To achieve this objective, a testing booth was built and instrumented with devices based on KNX, an international standard for home automation, to conduct experiments and ensure replicability. A framework was designed based on Python to synchronize KNX systems with emotion recognition tools; the synchronization of these data allows finding patterns during the interaction process. To evaluate this framework, an experiment was conducted in a simulated laundry room within the testing booth to analyze the emotional responses of participants while interacting with prototypes of new detergent bottles. Emotional responses were contrasted with traditional questionnaires to determine the viability of using non-invasive methods. Using emulated environments alongside non-invasive monitoring tools allowed an immersive experience for participants. These results indicated that the testing booth can be implemented for a robust UX evaluation methodology.

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Section: Discussionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Development of a Framework for the Communication System Based on KNX for an Interactive Space for UX Evaluation

Lopez-Aguilar,

Bustamante-Bello,

Navarro-Tuch

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…There are also other sensors that can indicate the presence of stress in the body through the measurement of the level of certain hormones, such as cortisol (Yu et al, 2018a;De Witte et al, 2019;Gedam and Paul, 2021;Hickey et al, 2021). Moreover, many technologies which are available to the general public (connected watches, fitness trackers or smart home health devices) can also allow an individual to monitor their stress in real time through their physiological data (Sykianaki et al, 2019;Samson and Koh, 2020;Hickey et al, 2021). However, these data are only the result of a stress state; it is necessary that they can be interpreted in a user-defined context or that the user is psychologically assisted in the decryption of these constants.…”

Section: Integrating Technology Into Stress Managementmentioning

confidence: 99%

“…In smart homes in particular, stress management programs using the biofeedback method can be offered to the individual through a combination of the contextual information collected and their physiological data. Smart home equipment can thus provide relaxation programs through images, music, lighting, or relaxing smells to reduce stress (Sykianaki et al, 2019). If smart home technology equipment is not accessible to them, other wearables can also be used.…”

Section: Coping Strategies Used By the Female Students In The Academi...mentioning

confidence: 99%

Exploring female students' perceptions of the use of digital technologies in managing academic stress

Lukenga,

Billonnet,

Gaugue

et al. 2023

Front. Psychol.

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ObjectiveThe purpose of this research is to explore the perceptions of female students regarding the implementation of digital technologies for academic stress management. We aim to determine if the contribution of these technologies could offer to female students a better management of the stress related to their studies and thus, a better deployment of strategies to cope with academic difficulties.MethodA qualitative study using the focus group methodology was conducted. Our inductive and exploratory approach allowed us to focus on the experience and perception of eleven female students from the University of Mons. The cohort was divided into two groups according to their score on the Perceived Stress Scale-10.ResultsThe data collected was analyzed using the thematic analysis of which allowed us to identify fourteen sub-themes divided into three axes: coping strategies used to manage academic stress, students' needs to improve their management of academic stress, and the implementation of technology for managing academic stress.ConclusionOur results show that the issues present in the academic context lead students to use various coping strategies, some of which are harmful to their physical and mental health. The implementation of digital technologies and biofeedback seems to be an approach that could help students adopt more functional coping strategies and alleviate their daily difficulties in managing academic stress.

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Human Factors in Ambient Intelligence Environments

Stephanidis

2012

Handbook of Human Factors and Ergonomics

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CaLmi

Cited by 10 publications

References 5 publications

Development of a Framework for the Communication System Based on KNX for an Interactive Space for UX Evaluation

Development of a Framework for the Communication System Based on KNX for an Interactive Space for UX Evaluation

Exploring female students' perceptions of the use of digital technologies in managing academic stress

Human Factors in Ambient Intelligence Environments

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