The Wearer, the Device, and Its Use: Advances in Understanding the Social Acceptability of Wearables

Kelly, Noreen; Gilbert, Stephen B.

doi:10.1177/1541931218621237

Cited by 14 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because mHealth in PD is a recently expanding form of technology, studies analysing the social acceptability of mHealth in PD are limited and existing measures of acceptability are insufficient. For example, factors that uniquely affect mHealth technologies, such as wearable devices, compared to those not worn on the body, include manners, moral codes, the symbolic communication of dress, habits of dress, fashion, context of use, form, and aesthetics [23,44]. Therefore, a new design approach, one that is inclusive and responsive to the needs of PwP, must be developed to understand the factors affecting the social acceptability of mHealth in PD and to improve its acceptance [45,46].…”

Section: Financial Factorsmentioning

confidence: 99%

Designing socially acceptable mHealth technologies for Parkinson's disease self-management

2020

View full text Add to dashboard Cite

Mobile health (mHealth) technologies for Parkinson’s disease management have developed quickly in recent years. Research in this area typically focuses on evaluation of the accuracy and reliability of the technology, often to the exclusion of social factors and patient perspectives. This qualitative systematic review aimed to investigate the barriers to and facilitators of use mHealth technologies for disease self-management from the perspective of People with Parkinson's (PwP). Findings revealed that technological, as well as social, and financial factors are key considerations for mHealth design, to ensure its acceptability, and long-term use by PwP. This study proposes that a co-design approach could contribute to the design and development of mHealth that are socially acceptable to PwP, and enable their successful long-term use in the context of daily life.

show abstract

Section: Financial Factorsmentioning

confidence: 99%

Designing socially acceptable mHealth technologies for Parkinson's disease self-management

2020

View full text Add to dashboard Cite

show abstract

“…Social acceptability of lifelogging devices can be situational [21], where certain contexts such as during sports and meetings can be more permissive to it as compared to intimate conversations and in healthcare settings. Cultural beliefs and user stereotypes could also shape the social perceptions of wearables and user-worn recording devices [30,35,63]. Bystander considerations also play a role in social acceptability where interactions that provide an explanation [71] are likely to be better acceptable than fully hidden interactions.…”

Section: Privacy and Social Acceptabilitymentioning

confidence: 99%

Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory Augmentation

Zulfikar,

Chan,

Maes

2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

People have to remember an ever-expanding volume of information. Wearables that use information capture and retrieval for memory augmentation can help but can be disruptive and cumbersome in real-world tasks, such as in social settings. To address this, we developed Memoro, a wearable audio-based memory assistant with a concise user interface. Memoro uses a large language model (LLM) to infer the user's memory needs in a conversational context, semantically search memories, and present minimal suggestions. The assistant has two interaction modes: Query Mode for voicing queries and Queryless Mode for on-demand predictive assistance, without explicit query. Our study of (N=20) participants engaged in a realtime conversation, demonstrated that using Memoro reduced device Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

show abstract

“…Further investigation with "invisible spectral flicker" [2] could reveal it to be an effective and comfortable way to give rhythmic light stimulation. Social acceptability and social comfort could be improved if the wearable is perceived as helping people and if there is a medical need [30].…”

Section: Limitations and Future Workmentioning

confidence: 99%

Improving Attention Using Wearables via Haptic and Multimodal Rhythmic Stimuli

Whitmore,

Chan,

Zhang

et al. 2024

Preprint

View full text Add to dashboard Cite

Rhythmic light, sound and haptic stimuli can improve cognition through neural entrainment and by modifying autonomic nervous system function. However, the effects and user experience of using wearables for inducing such rhythmic stimuli have been under-investigated. We conducted a study with 20 participants to understand the effects of rhythmic stimulation wearables on attention. We found that combined sound and light stimuli from a glasses device provided the strongest improvement to attention but were the least usable and socially acceptable. Haptic vibration stimuli from a wristband also improved attention and were the most usable and socially acceptable. Our field study (N=12) with haptic stimuli from a smartwatch showed that such systems can be easy to use and were used frequently in a range of contexts but more exploration is needed to improve the comfort. Our work contributes to developing future wearables to support attention and cognition.

show abstract

The Wearer, the Device, and Its Use: Advances in Understanding the Social Acceptability of Wearables

Cited by 14 publications

References 11 publications

Designing socially acceptable mHealth technologies for Parkinson's disease self-management

Designing socially acceptable mHealth technologies for Parkinson's disease self-management

Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory Augmentation

Improving Attention Using Wearables via Haptic and Multimodal Rhythmic Stimuli

Contact Info

Product

Resources

About