Evidence map›Paper›PMID 32318649›Full record

ArticleProceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies2018

I Can't Be Myself: Effects of Wearable Cameras on the Capture of Authentic Behavior in the Wild.

Rawan Alharbi, Tammy Stump, Nilofar Vafaie, Angela Pfammatter, Bonnie Spring, Nabil Alshurafa

Abstract read
In one paragraph

Article in Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
  2. HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024
    Article
  3. Review
  4. Article
  5. Detecting Eating and Social Presence with All Day Wearable RGB-T....IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies · 2023
    Article
  6. Experience: Barriers and Opportunities of Wearables for Eating Research.Extended abstracts on Human factors in computing systems. CHI Conference · 2023
    Article
  7. Is cartoonized life-vlogging the key to increasing adoption of activity-oriented wearable camera systems?Extended abstracts on Human factors in computing systems. CHI Conference · 2023
    Article
  8. SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2022
    Article
  9. Non-Invasive Screen Exposure Time Assessment Using Wearable Sensor and Object Detection.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. NeckSense: A Multi-Sensor Necklace for Detecting Eating Activities in Free-Living Conditions.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. To Mask or Not to Mask? Balancing Privacy with Visual Confirmation Utility in Activity-Oriented Wearable Cameras.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2019
    Article
  19. Article
  20. Voice-assisted Food Recall using Voice Assistants.HCI International 2022 - late breaking papers : 24th International Conference on Human-Computer Interaction, HCII 2022, virtual event, June 26 - July 1, 2022, proceedings. HCI for health, well-being, universal access and healthy aging. ...
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rawan AlharbiNorthwestern University, USA.
Tammy StumpNorthwestern University, USA.
Nilofar VafaieNorthwestern University, USA.
Angela PfammatterNorthwestern University, USA.
Bonnie SpringNorthwestern University, USA.
Nabil AlshurafaNorthwestern University, USA.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
NCATS NIH HHS UL1 TR001422
6 · The paper itself

Abstract

Wearable sensors can provide reliable, automated measures of health behaviors in free-living populations. However, validation of these measures is impossible without observable confirmation of behaviors. Participants have expressed discomfort during the use of ego-centric wearable cameras with first-person view. We argue that mounting the camera on different body locations with a different lens orientation, gives a device recording affordance that has the effect of reducing surveillance and social discomfort compared to ego-centric cameras. We call these types of cameras "activity-oriented" because they are designed to capture a particular activity, rather than the field of view of the wearer. We conducted an experiment of three camera designs with 24 participants, collecting qualitative data on participants' experience while wearing these devices in the wild. We provide a model explaining factors that lead to an increase in social presence and social stigma, which, therefore, create social and surveillance discomfort for the wearer. Wearers' attempts to reduce this discomfort by modifying their behavior or abandoning the device threatens the validity of observations of authentic behaviors. We discuss design implications and provide recommendations to help reduce social presence and stigma in order to improve the validity of observations with cameras in the wild.

Indexed as

activity-oriented camerafree-living populationsgroundtruthprivacysocial presencestigmawearables

Identifiers

PMID32318649
PMCPMC7173726

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.