User requirements for wearable smart textiles. Does the usage context matter (medical vs. sports)?

Heek, Julia van; Schaar, Anne Kathrin; Trevisan, Bianka; Bosowski, Patrycja; Ziefle, Martina

doi:10.4108/icst.pervasivehealth.2014.255179

Cited by 16 publications

(7 citation statements)

References 17 publications

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“…27,63]. A few studies considered a combination of established acceptance models such as TAM and UTAUT in the domain of IS [59,64]. Due to the special context of FTs, researchers investigated the impact of social factors, as the usage of novel technologies can help individuals improve their image and differentiate them from other members of their peer group [6].…”

Section: Fitness Trackers and Technology Acceptancementioning

confidence: 99%

Tracking Fitness or Sickness - Combining Technology Acceptance and Privacy Research to Investigate the Actual Adoption of Fitness Trackers

Reith¹,

Buck²,

Lis³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Personal data is often collected, processed and utilized without the knowledge of the information system's user. With regard to the enormous value of personalized data for companies as well as consumers' tendency to unreflectively disclose their data, privacy concerns have been an essential topic for researchers since the mid-1990s. However, established research models of wearable IS-technologies are inadequate to comprehensively investigate the issue of privacy and its effects on acceptance variables. Therefore, the following study aims to empirically validate a research model which considers privacy concerns as a central construct in predicting the actual usage of fitness trackers. The results of our investigation underline the vital role of privacy concerns for the acceptance of fitness trackers and imply that the current providers' advertising is insufficient in meeting the consumers' needs.

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Section: Fitness Trackers and Technology Acceptancementioning

confidence: 99%

Tracking Fitness or Sickness - Combining Technology Acceptance and Privacy Research to Investigate the Actual Adoption of Fitness Trackers

Reith¹,

Buck²,

Lis³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…In the case of Bpain, the device is extremely simple and intuitive, serving only one function and with limited user interaction, which results in high ease of use. This ease of use has been found to give the user a feeling of control over the device [53]. Regarding mobility, although cellphones are highly personal and usually close to their user, B-pain is a bracelet, so it can also be carried anywhere easily.…”

Section: Discussionmentioning

confidence: 99%

Helping Elderly Users Report Pain Levels: A Study of User Experience with Mobile and Wearable Interfaces

Rodríguez

Cajamarca

Herskovic

et al. 2017

Mobile Information Systems

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Pain is usually measured through patient reports during doctor visits, but it requires regular evaluation under real-life conditions to be resolved effectively. Over half of older adults suffer from pain. Chronic conditions such as this one may be monitored through technology; however, elderly users require technology to be specifically designed for them, because many have cognitive and physical limitations and lack digital skills. The purpose of this article is to study whether mobile or wearable devices are appropriate to self-report pain levels and to find which body position is more appropriate for elderly people to wear a device to self-report pain. We implemented three prototypes and conducted two phases of evaluation. We found that users preferred the wearable device over the mobile application and that a wearable to self-report pain should be designed specifically for this purpose. Regarding the placement of the wearable, we found that there was no preferred position overall, although the neck position received the most positive feedback. We believe that the possibility of creating a wearable device that may be placed in different positions may be the best solution to satisfy users’ individual preferences.

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“…In preceding studies with both experts of smart interactive textiles as well as laypeople, ease of cleaning was perceived as an important criterion [ 25 , 28 ]. Thus, different levels of “ease of cleaning” are integrated in the current study: “usual cleaning”, “additional expense”, and “special cleaning”.…”

Section: Methodsmentioning

confidence: 99%

“…For example, van Heek et al contrasted product properties that relate to product acceptance of a smart shirt for recreational and medical use [ 25 ]. The study showed that the usage context influences the overall acceptance.…”

Section: Related Workmentioning

confidence: 99%

Let’s Talk about TEX—Understanding Consumer Preferences for Smart Interactive Textile Products Using a Conjoint Analysis Approach

Heek

Brauner

Ziefle

2018

Sensors

Self Cite

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Interactive textiles are reaching maturity. First technology augmented textiles in form of clothes and furnitures are becoming commercially available. In contrast to the close link between technological development and innovations, future users’ acceptance and usage of such interactive textiles has not been integrated sufficiently, yet. The current study investigates future users’ consumer behavior and acceptance of interactive textiles using a scenario-based conjoint analysis study, which was presented in an online questionnaire (n=324). Two prototypical interactive textiles were focused on: a smart jacket and a smart armchair. To assess the textile products, the participants had to choose the preferred product alternative consisting each of the acceptance-relevant factors “connectivity”, “input modality”, “feature range”, “usability”, and “ease of cleaning”and their respective levels. The results revealed that the “ease of cleaning” is the most important decision criterion for both textile devices (even more important for the smart jacket), followed by “feature range”, “connectivity”, and “usability”. In contrast, the “input modality” is perceived as least important. The study also identified user profiles based on the projected consumer behavior (“adopters”, “rejecters”, and “undecided”) for both products. Besides the differences in product evaluation and projected consumer behavior, the user groups are significantly influenced by the individual affinity to textiles (both products) and gender (smart jacket). The findings are used to derive design and communication guidelines referring to interactive textiles in order to incorporate users’ needs, wishes, and requirements into future products.

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User requirements for wearable smart textiles. Does the usage context matter (medical vs. sports)?

Cited by 16 publications

References 17 publications

Tracking Fitness or Sickness - Combining Technology Acceptance and Privacy Research to Investigate the Actual Adoption of Fitness Trackers

Tracking Fitness or Sickness - Combining Technology Acceptance and Privacy Research to Investigate the Actual Adoption of Fitness Trackers

Helping Elderly Users Report Pain Levels: A Study of User Experience with Mobile and Wearable Interfaces

Let’s Talk about TEX—Understanding Consumer Preferences for Smart Interactive Textile Products Using a Conjoint Analysis Approach

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