Designing wearable technologies through a user centered approach

Ferraro, Venere; Uğur, Seçil

doi:10.1145/2347504.2347510

Cited by 23 publications

(16 citation statements)

References 3 publications

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“…The embedding of ODs into different materials to facilitate multiple sensorial experiences was discussed in Ferraro and Ugur [2011]. The work of Tilletson as part of the Scentsory Design research initiative [2008] was also based on wearable ODs.…”

Section: Wearable Odsmentioning

confidence: 99%

Olfaction-Enhanced Multimedia

et al. 2016

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Recently, the concept of olfaction-enhanced multimedia applications has gained traction as a step toward further enhancing user quality of experience. The next generation of rich media services will be immersive and multisensory, with olfaction playing a key role. This survey reviews current olfactory-related research from a number of perspectives. It introduces and explains relevant olfactory psychophysical terminology, knowledge of which is necessary for working with olfaction as a media component. In addition, it reviews and highlights the use of, and potential for, olfaction across a number of application domains, namely health, tourism, education, and training. A taxonomy of research and development of olfactory displays is provided in terms of display type, scent generation mechanism, application area, and strengths/weaknesses. State of the art research works involving olfaction are discussed and associated research challenges are proposed.

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Section: Wearable Odsmentioning

confidence: 99%

Olfaction-Enhanced Multimedia

et al. 2016

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“…However, little research has been done on developing these types of clothing. In order to increase the adoption rate of new products, it is important to understand consumers' preferred designs and functions of the products (Baxter et al, 2015;Ferraro and Ugur, 2011;Liao and Lee, 2010;May-Plumlee and Little, 2006;Rogers, 2003). It is also important for designers of functional garments to use methods such as consumer surveys to understand design and functional requirements (Gupta, 2011).…”

Section: Introductionmentioning

confidence: 99%

Understanding consumer preferences on mosquito-bite protective clothing

Koo

2018

IJCST

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Purpose The purpose of this paper is to understand people’s preferred design and functional features for mosquito-bite protective clothing. Design/methodology/approach Total 348 participants were asked through an online survey about their perceptions and behaviors related to mosquito bite prevention, preferred design and functional features for clothing, preferred design and functional features for smart clothing, preferred types of transferred data, and their demographic backgrounds. A series of t-tests and analyses of variance were computed using IBM’s SPSS 24.0. Findings There were significant differences in functional and design preferences among participants (p<0.05~0.001). The results suggest developing mosquito protective clothing as long pants for married people and outerwear for younger groups (10-40s), long-sleeved tops for all, and using thick fabrics for younger people than those over the 50s. Designers can develop smart clothing that can repel mosquitos through scents and cover the body, or as smart watches or wristbands to protect against mosquito bites. The connected software can present data about the mosquito numbers around the user, distances between the user and mosquitos, and product status. Marketers can target parents who showed more willingness to use the mosquito-bite protective clothing than individuals without children. Originality/value The outcomes of the study will help designers when developing mosquito-bite protective clothing and ultimately decrease the rate of diseases transmitted by mosquitos.

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“…According toFerraro and Ugur (2011), "Wearability means ability to wear and concern the physical shape of wearables and their active relationship with the human form." (pg.…”

mentioning

confidence: 99%

“…(pg. 3)[48]. Wearable items act as a second skin outside of the body, providing protection based on their shape and form.Therefore, when designing wearable technologies, it is essential to understand the interactions between the human body and the wearable object, and to use flexible shapes that do not interrupt human motion.…”

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confidence: 99%

Flat-Feet Prediction Based on a Designed Wearable Sensing Shoe and a PCA-Based Deep Neural Network Model

et al. 2020

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Gait is a significant factor that affects human health, and monitoring a person's gait with sensing devices during daily life can detect abnormal gait events that affect numerous physical health problems. In particular, flat feet can cause changes in alignment conditions of the foot, ankle, leg, pelvis and spine. The primary problem with previous studies of wearable devices for measuring gait have focused on quantitatively monitoring the degree of gait rather than the limited gait ability. The existing method of feeding back the degree of gait or activity does not consider the severity of the subject and is insufficient for qualitative evaluation or training of gait. The significance of this study is development of convenient detecting and long-term tracking tools that can be used by both patients and clinicians for prescreening flat feet and monitoring the progress of flat feet treatment. For wearable devices for flatfoot detection to be most effective, detection systems and algorithms must be accurate, robust, reliable and computationally-efficient. In this paper, we developed an integrated smart wearable gait-monitoring device comprised of three sensors: front force, rear force, and an ankle flex sensor. We propose a new flat feet detection methodology based on a dynamic sensing window and a deep neural network with scaled principal component analysis (PCA). We tested 24 subjects, including both those with healthy gait and flat-feet-affected gait. Our study shows that the proposed sensing devices could be worn comfortably. The proposed deep neural network (DNN) model outperformed the other five classifier algorithms considered, and the area under the curve (AUC) value of the method was 87.1%. This wearable device can thus be easily and simply used both by patients and doctors to monitor the progress of flat feet and prescreen for possible gait problems in daily life.

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Designing wearable technologies through a user centered approach

Cited by 23 publications

References 3 publications

Olfaction-Enhanced Multimedia

Olfaction-Enhanced Multimedia

Understanding consumer preferences on mosquito-bite protective clothing

Flat-Feet Prediction Based on a Designed Wearable Sensing Shoe and a PCA-Based Deep Neural Network Model

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