The tactile triangle: a design research framework demonstrated through tactile comparisons of textile materials

Atkinson, Doug; Baurley, Sharon; Petreca, Bruna; Bianchi-Berthouze, Nadia; Watkins, Penelope

doi:10.1504/jdr.2016.077015

Cited by 13 publications

(9 citation statements)

References 29 publications

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“…In view of the product form design, activity begins with the designer's ideographic communication, and finally depend on the user's feelings and understanding, the core of which lies in expression and communication. Some studies mainly involve tactile comparisons of textile materials [68], wine aroma [69], pearl quality [70], the aesthetic characteristics of artistic works [71], etc., especially in sensory evaluation [72][73][74], these studies have demonstrated that emotion perception and evaluation vocabulary vary with the difference in professional level. In fact, the demands of the designer have been built into the product design, which is different from the meaning of the product in the eyes of the user.…”

Section: Construction Of the Semantic Space Of Product Modelingmentioning

confidence: 99%

A Novel Approach of Integrating Natural Language Processing Techniques with Fuzzy TOPSIS for Product Evaluation

Wang

2022

Symmetry

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Product designers need to fully understand consumers’ emotional preferences and responses for product forms to improve products. However, users and designers have different understandings and concepts in the product evaluation process, which will lead to cognitive asymmetry in the product design and evaluating process. This phenomenon prevents designers to grasp users’ needs, increasing the risk of product development failure. To this end, this paper proposes a product evaluation method that combines natural language processing techniques and fuzzy multi-criteria decision-making into a new integrated way to reduce the cognitive difference between users and designers, so as to solve the problem of cognitive asymmetry. This was done firstly by obtaining the review data of products from users on the Internet, based on a web crawler, and then constructing word vectors based on natural language processing techniques to realize the parametric expression of the Kansei image. Secondly, by using a statistical method to extract the product scheme that meets the preferences of users and designers, and then quantifying the relationship between the product form and Kansei image based on a grey relational analysis (GRA). Finally, by calculating the indicator weight based on the Entropy method and using the fuzzy TOPSIS method to explore the prioritization of the product design alternatives in view of the Kansei needs of users. Taking the smart capsule coffee machine as an example, the feasibility and effectiveness of this method are verified. In particular, the method proposed in this research can not only enable different cognitive subjects to achieve cognitive symmetry, but also filter out product forms that meet the cognitive needs of users. Moreover, this study provides a theoretical basis and practical significance for reducing the cognitive differences between cognitive subjects in the whole process of product design, and provides a systematic framework for the industry to effectively connect customer needs and product design decisions. At the same time, this study has introduced a new method for Kansei engineering.

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Section: Construction Of the Semantic Space Of Product Modelingmentioning

confidence: 99%

A Novel Approach of Integrating Natural Language Processing Techniques with Fuzzy TOPSIS for Product Evaluation

Wang

2022

Symmetry

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“…Only one VAS straight line was used for collecting selfreports of each perceived stress level along with each session to make participants easily remember and compare their previous scores as shown in Figure 4c. The comparison lets us combine a numerical type of approach to self-reporting with a ranking one as comparison is generally more reliable that simple quantization of a subjective state [43][44][45]. The labels in We take an array of the R-R intervals (Figure 2c) and the 1Hz-sampled thermal directionality samples (Figure 3c) as low-level features representing each modality throughout this paper.…”

Section: Self-report Of Perceived Mental Stressmentioning

confidence: 99%

Instant Stress: Detection of Perceived Mental Stress Through Smartphone Photoplethysmography and Thermal Imaging (Preprint)

Cho¹,

Julier²,

Bianchi-Berthouze³

2018

Preprint

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Background: A smartphone is a promising tool for daily cardiovascular measurement and mental stress monitoring. Photoplethysmography (PPG) and lowcost thermography can be used to create cheap, convenient and mobile systems. However, to achieve robustness, a person has to remain still for several minutes while a measurement is being taken. This is very cumbersome, and limits the usage in applications such producing instant measurements of stress. Objective: We propose to use smartphone-based mobile PPG and thermal imaging to provide a fast binary measure of stress responses to an event using dynamical physiological changes which occur within 20 seconds of the event finishing. Methods: We propose a system that uses a smartphone and its physiological sensors to reliably and continuously measure over a short window of time a person's blood volume pulse, the time interval between heartbeats (R-R interval) and the 1D thermal signature of the nose tip. 17 healthy participants, involved in a series of stress-inducing mental activities, measured their physiological response to stress in the 20 second-window immediately following each activity. A 10-cm Visual Analogue Scale was used by them to self-report their level of mental stress. As a main labeling strategy, normalized K-means clustering is used to better treat interpersonal differences in ratings. By taking an array of the R-R intervals and thermal directionality as a low-level feature input, we mainly use an artificial neural network to enable the automatic feature learning and the machine learning inference process.

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“…Only one VAS straight line was used for collecting self--reports of each perceived stress level along with each session to make participants easily remember and compare their previous scores as shown in Figure 4c. The comparison lets us combine a numerical type of approach to self---reporting with a ranking one as comparison is generally more reliable that simple quantization of a subjective state [43][44][45]. The labels in Figure 4c have been added to figure by the researcher to clarify their reference to each of the tasks (R: Rest, Se: Stroop easy, Sd: Stroop difficult, Me: Math easy, Md: Math difficult).…”

Section: Self--report Of Perceived Mental Stressmentioning

confidence: 99%

“…This is to help participants easily compare stress scores they report between sessions as shown in Figure 5c. This approach combines a numerical approach to self-reporting with a ranking one, as ranking is generally more reliable than simple quantization of a subjective state [65][66][67]. The labels in Figure 5c…”

Section: Measuring and Self-report Of Perceived Mental Stressmentioning

confidence: 99%

Instant Automated Inference of Perceived Mental Stress through Smartphone PPG and Thermal Imaging

Cho

Julier

Bianchi-Berthouze

2018

Preprint

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Background: A smartphone is a promising tool for daily cardiovascular measurement and mental stress monitoring. Photoplethysmography (PPG) and low---cost thermography can be used to create cheap, convenient and mobile systems. However, to achieve robustness, a person has to remain still for several minutes while a measurement is being taken. This is very cumbersome, and limits the usage in applications such producing instant measurements of stress. Objective: We propose to use smartphone---based mobile PPG and thermal imaging to provide a fast binary measure of stress responses to an event using dynamical physiological changes which occur within 20 seconds of the event finishing. Methods: We propose a system that uses a smartphone and its physiological sensors to reliably and continuously measure over a short window of time a person's blood volume pulse, the time interval between heartbeats (R---R interval) and the 1D thermal signature of the nose tip. 17 healthy participants, involved in a series of stress---inducing mental activities, measured their physiological response to stress in the 20 second---window immediately following each activity. A 10---cm Visual Analogue Scale was used by them to self---report their level of mental stress. As a main labeling strategy, normalized K---means clustering is used to better treat inter---personal differences in ratings. By taking an array of the R---R intervals and thermal directionality as a low---level feature input, we mainly use an artificial neural network to enable the automatic feature learning and the machine learning inference process. To compare the automated inference performance, we also extracted widely used high level features from HRV (e.g., LF/HF ratio) and the thermal signature and input them to a k---nearest neighbor to infer perceived stress levels.Results: First, we tested the physiological measurement reliability. The measured cardiac signals were considered highly reliable (signal goodness probability used, Mean=0.9584, SD=0.0151). The proposed 1D thermal signal processing algorithm effectively minimized the effect of respiratory cycles on detecting the apparent temperature of the nose tip (respiratory signal goodness probability Mean=0.8998 to Mean=0). Second, we tested the 20 seconds instant perceived stress inference performance. The best results were obtained by using automatic feature learning and classification using artificial neural networks rather than using pre---crafted features. The combination of both modalities produced higher accuracy on the

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The tactile triangle: a design research framework demonstrated through tactile comparisons of textile materials

Cited by 13 publications

References 29 publications

A Novel Approach of Integrating Natural Language Processing Techniques with Fuzzy TOPSIS for Product Evaluation

A Novel Approach of Integrating Natural Language Processing Techniques with Fuzzy TOPSIS for Product Evaluation

Instant Stress: Detection of Perceived Mental Stress Through Smartphone Photoplethysmography and Thermal Imaging (Preprint)

Instant Automated Inference of Perceived Mental Stress through Smartphone PPG and Thermal Imaging

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