Wearing Embodied Emotions

Uğur, Seçil

doi:10.1007/978-88-470-5247-5

Cited by 25 publications

(7 citation statements)

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“…The entity here is obviously a person. We described the property as experiencing wearable technology and perceiving an extension of oneself [4,17,41,42].…”

Section: Methodsmentioning

confidence: 99%

“…Devices such as smart phones, activity trackers, and smart watches have been widely embraced [2,3] and seem to have become almost inseparable from the human body. Although various research fields address this phenomenon from their own perspectives, there seems to be consensus that users can interact with technology, accepting it as part of them and even experience it as part of their body [4]. Beyond body extension, users can extend their cognitive performance [5,6] through the constant access to information [7], self-identity [8-12], and through the highly personal experience [13,14] tailoring it to their personal preferences [15].…”

Section: Introductionmentioning

confidence: 99%

“…Beyond body extension, users can extend their cognitive performance [5,6] through the constant access to information [7], self-identity [8-12], and through the highly personal experience [13,14] tailoring it to their personal preferences [15]. However, studies addressing this form of embodiment represent a relatively new area of focus and more empirical research is called for [4,16,17]. In addition, no study has yet combined the different embodiment experiences (body, cognition, and sense of self) to cover the full spectrum of the individual.…”

Section: Introductionmentioning

confidence: 99%

“…Past research on devices such as virtual reality [16] or cognitive prostheses [30] have addressed the embodiment of technology but were unable to measure it because of the lack of a measurement instrument [4,16,17]. In this paper, we aim to address this gap in the literature by proposing and validating the concept of wearable technology embodiment and operationalize it by developing a valid measurement instrument utilizing established conceptualization and measurement procedures [31].…”

Section: Introductionmentioning

confidence: 99%

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Is Wearable Technology Becoming Part of Us? Developing and Validating a Measurement Scale for Wearable Technology Embodiment

Nelson¹,

Verhagen²,

Vollenbroek-Hutten³

et al. 2019

JMIR Mhealth Uhealth

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Background To experience external objects in such a way that they are perceived as an integral part of one’s own body is called embodiment. Wearable technology is a category of objects, which, due to its intrinsic properties (eg, close to the body, inviting frequent interaction, and access to personal information), is likely to be embodied. This phenomenon, which is referred to in this paper as wearable technology embodiment, has led to extensive conceptual considerations in various research fields. These considerations and further possibilities with regard to quantifying wearable technology embodiment are of particular value to the mobile health (mHealth) field. For example, the ability to predict the effectiveness of mHealth interventions and knowing the extent to which people embody the technology might be crucial for improving mHealth adherence. To facilitate examining wearable technology embodiment, we developed a measurement scale for this construct. Objective This study aimed to conceptualize wearable technology embodiment, create an instrument to measure it, and test the predictive validity of the scale using well-known constructs related to technology adoption. The introduced instrument has 3 dimensions and includes 9 measurement items. The items are distributed evenly between the 3 dimensions, which include body extension, cognitive extension, and self-extension. Methods Data were collected through a vignette-based survey (n=182). Each respondent was given 3 different vignettes, describing a hypothetical situation using a different type of wearable technology (a smart phone, a smart wristband, or a smart watch) with the purpose of tracking daily activities. Scale dimensions and item reliability were tested for their validity and Goodness of Fit Index (GFI). Results Convergent validity of the 3 dimensions and their reliability were established as confirmatory factor analysis factor loadings (>0.70), average variance extracted values (>0.50), and minimum item to total correlations (>0.40) exceeded established threshold values. The reliability of the dimensions was also confirmed as Cronbach alpha and composite reliability exceeded 0.70. GFI testing confirmed that the 3 dimensions function as intercorrelated first-order factors. Predictive validity testing showed that these dimensions significantly add to multiple constructs associated with predicting the adoption of new technologies (ie, trust, perceived usefulness, involvement, attitude, and continuous intention). Conclusions The wearable technology embodiment measurement instrument has shown promise as a tool to measure the extension of an individual’s body, cognition, and self, as well as predict certain aspects of technology adoption. This 3-dimensional instrument can be applied to mixed method research and used by wearable technology developers to improve future versions through such things as fit, improved accuracy of biofeedback data, and customizable features or fashion to connect to the users’ personal identity. Further research is recommended to apply this measurement instrument to multiple scenarios and technologies, and more diverse user groups.

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“…The entity here is obviously a person. We described the property as experiencing wearable technology and perceiving an extension of oneself [4,17,41,42].…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Is Wearable Technology Becoming Part of Us? Developing and Validating a Measurement Scale for Wearable Technology Embodiment

Nelson¹,

Verhagen²,

Vollenbroek-Hutten³

et al. 2019

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…Recently, there has been increasing interest in the design of emotion-related smart textiles [ 11 , 12 , 13 , 14 ]. Some researchers use smart textiles to monitor emotion-related physiological data and then transfer wearers’ emotional states into various sensory feedback mechanisms for further emotion expression, communication, or self-reflection [ 15 , 16 ]. Others have tried to influence emotions through feedback modalities placed in the smart textiles [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

On the Use of Movement-Based Interaction with Smart Textiles for Emotion Regulation

Jiang

Nanjappan

Bhömer

et al. 2021

Sensors

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Research from psychology has suggested that body movement may directly activate emotional experiences. Movement-based emotion regulation is the most readily available but often underutilized strategy for emotion regulation. This research aims to investigate the emotional effects of movement-based interaction and its sensory feedback mechanisms. To this end, we developed a smart clothing prototype, E-motionWear, which reacts to four movements (elbow flexion/extension, shoulder flexion/extension, open and closed arms, neck flexion/extension), fabric-based detection sensors, and three-movement feedback mechanisms (audio, visual and vibrotactile). An experiment was conducted using a combined qualitative and quantitative approach to collect participants’ objective and subjective emotional feelings. Results indicate that there was no interaction effect between movement and feedback mechanism on the final emotional results. Participants preferred vibrotactile and audio feedback rather than visual feedback when performing these four kinds of upper body movements. Shoulder flexion/extension and open-closed arm movements were more effective for improving positive emotion than elbow flexion/extension movements. Participants thought that the E-motionWear prototype were comfortable to wear and brought them new emotional experiences. From these results, a set of guidelines were derived that can help frame the design and use of smart clothing to support users’ emotional regulation.

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