Anticipated User Stereotypes Systematically Affect the Social Acceptability of Mobile Devices

Schwind, Valentin; Henze, Niels

doi:10.1145/3419249.3420113

Cited by 8 publications

(5 citation statements)

References 42 publications

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“…These experiences were consistent with comments on rhythmic audio and visual stimulation for brainwave entrainment in previous works [14,25]. The social acceptability ratings were consistent with previous literature that indicate that wrist-worn wearables are considered more socially acceptable than head-worn ones [53,54].…”

Section: User Experiencesupporting

confidence: 91%

“…Existing data suggests that devices currently used are often perceived as bulky and cumbersome [25] or irritating [14]. Little research has focused on wrist-based stimulation devices, which is significant as wrist wearables are seen as more socially acceptable than devices placed on other parts of the body like the head or the trunk [53,54].…”

Section: User Experience Of Rhythmic Stimulimentioning

confidence: 99%

“…Since millions of users worldwide already own a smartwatch, such as an Apple Watch [61] or Fitbit device [39] or Samsung Watch [9], stimulation from a smartwatch has a greater potential of being deployed and on a large scale [16]. Fitness trackers, in particular, were rated to have the highest WEAR (social acceptability) score of about 4.5, and the highest 'warmth' and 'competence' compared to other forms of wearables [53].…”

Section: Potential Use Cases and Design Spacementioning

confidence: 99%

“…This approach offers a number of exciting possibilities: first, commercial wearables that are already widely deployed and socially acceptable [16,53] could be used to deliver cognitive enhancement interventions with a simple software download, allowing easy distribution of these interventions. Second, because they are almost always present on the user's body, wearables can be easily activated to provide cognitive enhancement whenever the user needs it, and can potentially even automatically detect when stimulation is needed.…”

Section: Introductionmentioning

confidence: 99%

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Improving Attention Using Wearables via Haptic and Multimodal Rhythmic Stimuli

Whitmore,

Chan,

Zhang

et al. 2024

Preprint

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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.

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Section: User Experiencesupporting

confidence: 91%

Section: User Experience Of Rhythmic Stimulimentioning

confidence: 99%

Section: Potential Use Cases and Design Spacementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improving Attention Using Wearables via Haptic and Multimodal Rhythmic Stimuli

Whitmore,

Chan,

Zhang

et al. 2024

Preprint

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

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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).

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Real Gender Barriers to Virtual Realities?

Pröbster

Marsden

2021

2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)

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Anticipated User Stereotypes Systematically Affect the Social Acceptability of Mobile Devices

Cited by 8 publications

References 42 publications

Improving Attention Using Wearables via Haptic and Multimodal Rhythmic Stimuli

Improving Attention Using Wearables via Haptic and Multimodal Rhythmic Stimuli

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

Real Gender Barriers to Virtual Realities?

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