| 1 |
Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources
|
|
|
|
In: https://hal.inria.fr/hal-03550289 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
By the People Crowdsourcing Datasets from the Library of Congress
|
|
|
|
In: Journal of Open Humanities Data; Vol 8 (2022); 5 ; 2059-481X (2022)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Found speech and humans in the loop : Ways to gain insight into large quantities of speech
|
|
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Developing Messaging Content for a Physical Activity Smartphone App Tailored to Low-Income Patients: User-Centered Design and Crowdsourcing Approach.
|
|
|
|
In: JMIR mHealth and uHealth, vol 9, iss 5 (2021)
|
|
Abstract:
BackgroundText messaging interventions can be an effective and efficient way to improve health behavioral changes. However, most texting interventions are neither tested nor designed with diverse end users, which could reduce their impact, and there is limited evidence regarding the optimal design methodology of health text messages tailored to low-income, low-health literacy populations and non-English speakers.ObjectiveThis study aims to combine participant feedback, crowdsourced data, and researcher expertise to develop motivational text messages in English and Spanish that will be used in a smartphone app-based texting intervention that seeks to encourage physical activity in low-income minority patients with diabetes diagnoses and depression symptoms.MethodsThe design process consisted of 5 phases and was iterative in nature, given that the findings from each step informed the subsequent steps. First, we designed messages to increase physical activity based on the behavior change theory and knowledge from the available evidence. Second, using user-centered design methods, we refined these messages after a card sorting task and semistructured interviews (N=10) and evaluated their likeability during a usability testing phase of the app prototype (N=8). Third, the messages were tested by English- and Spanish-speaking participants on the Amazon Mechanical Turk (MTurk) crowdsourcing platform (N=134). Participants on MTurk were asked to categorize the messages into overarching theoretical categories based on the capability, opportunity, motivation, and behavior framework. Finally, each coauthor rated the messages for their overall quality from 1 to 5. All messages were written at a sixth-grade or lower reading level and culturally adapted and translated into neutral Spanish by bilingual research staff.ResultsA total of 200 messages were iteratively refined according to the feedback from target users gathered through user-centered design methods, crowdsourced results of a categorization test, and an expert review. User feedback was leveraged to discard unappealing messages and edit the thematic aspects of messages that did not resonate well with the target users. Overall, 54 messages were sorted into the correct theoretical categories at least 50% of the time in the MTurk categorization tasks and were rated 3.5 or higher by the research team members. These were included in the final text message bank, resulting in 18 messages per motivational category.ConclusionsBy using an iterative process of expert opinion, feedback from participants that were reflective of our target study population, crowdsourcing, and feedback from the research team, we were able to acquire valuable inputs for the design of motivational text messages developed in English and Spanish with a low literacy level to increase physical activity. We describe the design considerations and lessons learned for the text messaging development process and provide a novel, integrative framework for future developers of health text messaging interventions.
|
|
Keyword:
Crowdsourcing; Exercise; Humans; mHealth; Mobile Applications; mobile phone; Public Health and Health Services; Smartphone; text messaging; user centered design; User-Centered Design
|
|
URL: https://escholarship.org/uc/item/80w6p5tp
|
|
BASE
|
|
Hide details
|
|
|
| 5 |
Éléments de réflexion sur le statut des notes de terrain ; Éléments de réflexion sur le statut des notes de terrain: Transcrire les carnets d’Antoine d’Abbadie #1
|
|
|
|
In: https://halshs.archives-ouvertes.fr/halshs-03205330 ; 2021 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
ЛИНГВИСТИЧЕСКИЙ ОПРОСНИК ДЛЯ ЗАПОЛНЕНИЯ БАЗЫ ДАННЫХ «ЯЗЫКИ МИРА» ... : LINGUISTIC QUESTIONNAIRE FOR FILLING THE “LANGUAGES OF THE WORLD” DATABASE ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 7 |
絵文字の統語的分類に関する調査
|
|
|
|
In: https://ccd.ninjal.ac.jp/lrw2021.html (2021)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Development and Validation of a Corpus of Written Parliamentary Questions in the Hellenic Parliament
|
|
|
|
In: Journal of Open Humanities Data; Vol 7 (2021); 18 ; 2059-481X (2021)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Towards A Reliable Ground-Truth For Biased Language Detection ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Towards A Reliable Ground-Truth For Biased Language Detection ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Bridging Humanities: Embedding Public Participation in a Collaborative Research Project ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Bridging Humanities: Embedding Public Participation in a Collaborative Research Project ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 16 |
ARMYPEDIA: A “Special Chronicle” of Multilingual Digital Crowdsourcing ...
|
|
Kittinger, Allison. - : The University of North Carolina at Chapel Hill University Libraries, 2021
|
|
BASE
|
|
Show details
|
|
|
| 19 |
La traducción por crowdsourcing en lengua de signos catalana : un estudio de recepción
|
|
|
|
BASE
|
|
Show details
|
|
|
| 20 |
La traducción por crowdsourcing en lengua de signos catalana: un estudio de recepción
|
|
Segura Giménez, Daniel. - : Universitat Autònoma de Barcelona. Programa de Doctorat en Traducció i Estudis Interculturals, 2021
|
|
In: TDX (Tesis Doctorals en Xarxa) (2021)
|
|
BASE
|
|
Show details
|
|
|
|
|
