Mobile-based collaborative interventions between target participants and circle participants
Resumo
The literature registers the use of mobile devices in interventions that gather information from individual participants within their natural environments. Researchers have identified a need for supporting interventions that involve both participants and individuals within their social circles. To address this need, we conducted a Rapid Systematic Review focused on the following questions: Which papers describe models that enable experts to foster collaboration among group members in interventions mediated by mobile devices or IoT? Which studies present operations related to communication, cooperation, or coordination? How were these solutions developed and evaluated? What roles do participants assume within the interventions? In which domains were these evaluations conducted? The review selected 26 works, most within the domains of Education, Health, or both (84%). The analysis revealed significant gaps in the literature regarding systems and models that facilitate communication, cooperation, or coordination among intervention participants and their social circles. This analysis indicated the need for a set of functional and non-functional requirements to guide the design and evaluation of future solutions. We contribute by proposing these requirements to address the identified gaps and enhance the development of effective intervention systems.
Palavras-chave:
Intervention, Mobile, Collaboration, Rapid System Revision
Referências
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Imogen H. Bell, Susan L. Rossell, John Farhall, Mark Hayward, Michelle H. Lim, Sarah F. Fielding-Smith, and Neil Thomas. 2020. Pilot randomised controlled trial of a brief coping-focused intervention for hearing voices blended with smartphone-based ecological momentary assessment and intervention (SAVVy): Feasibility, acceptability and preliminary clinical outcomes. Schizophrenia Research 216 (2020), 479–487. DOI: 10.1016/j.schres.2019.10.026
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Torkil Clemmensen, Victor Kaptelinin, and Bonnie Nardi. 2016. Making HCI theory work: an analysis of the use of activity theory in HCI research. Behaviour & Information Technology 35, 8 (2016), 608–627.
Desirée Colombo, Carlos Suso-Ribera, Javier Fernández-Álvarez, Pietro Cipresso, Azucena García-Palacios, Giuseppe Riva, and Cristina Botella. 2020. Technology Based Ecological Momentary Assessment in Clinical Psychology. In Reference Module in Neuroscience and Biobehavioral Psychology. Elsevier. DOI: 10.1016/B978-0-12-818697-8.00003-0
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Gabriela Marcu, Allison Spiller, Jonathan Arevalo Garay, James Connell, and Laura Pina. 2019. Breakdowns in Home-School Collaboration for Behavioral Intervention (CHI’19). 1–12.
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Nikolaos M Avouris, Angelique Dimitracopoulou, Vassilis Komis, and Christos Fidas. 2002. OCAF: An object-oriented model of analysis of collaborative problem solving. In Conference on Computer Support for Collaborative Learning (CSCL).
Imogen H. Bell, Susan L. Rossell, John Farhall, Mark Hayward, Michelle H. Lim, Sarah F. Fielding-Smith, and Neil Thomas. 2020. Pilot randomised controlled trial of a brief coping-focused intervention for hearing voices blended with smartphone-based ecological momentary assessment and intervention (SAVVy): Feasibility, acceptability and preliminary clinical outcomes. Schizophrenia Research 216 (2020), 479–487. DOI: 10.1016/j.schres.2019.10.026
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Seth Chaiklin. 2019. The meaning and origin of the activity concept in Soviet psychology—with primary focus on AN Leontiev’s approach. Theory & Psychology 29, 1 (2019), 3–26.
Torkil Clemmensen, Victor Kaptelinin, and Bonnie Nardi. 2016. Making HCI theory work: an analysis of the use of activity theory in HCI research. Behaviour & Information Technology 35, 8 (2016), 608–627.
Desirée Colombo, Carlos Suso-Ribera, Javier Fernández-Álvarez, Pietro Cipresso, Azucena García-Palacios, Giuseppe Riva, and Cristina Botella. 2020. Technology Based Ecological Momentary Assessment in Clinical Psychology. In Reference Module in Neuroscience and Biobehavioral Psychology. Elsevier. DOI: 10.1016/B978-0-12-818697-8.00003-0
Duygu Findik Coskunçay and Murat Perit Çakir. 2014. Examination of Computer Supported Collaborative Business Process Modeling with Activity Theory (Interacción ’14). Article 15, 8 pages.
Mihaly Csikszentmihalyi, Larson, Reed, and Suzanne Prescott. 1977. The ecology of adolescent activity and experience. Journal of Youth and Adolescence (1977), 281–294. DOI: 10.1007/BF02138940
Mihaly Csikszentmihalyi and Reed Larson. 2014. Validity and reliability of the experience-sampling method. In Flow and the foundations of positive psychology. Springer, 35–54.
BR Cunha, K Rodrigues, I Zaine, EN Silva, C Viel, and MG Pimentel. 2021. Experience Sampling and Programmed Intervention Method and System for Planning, Authoring, and Deploying mHealth Interventions: Design and Cases Report. JMIR(inprint) (25 Feb 2021).
N Davidson, J Vines, T Bartindale, S Sutton, D Green, R Comber, M Balaam, P Olivier, and G Vance. 2017. Supporting Self-Care of Adolescents with Nut Allergy Through Video and Mobile Educational Tools. In CHI’17. 1078–1092.
Clarence A. Ellis, Simon J. Gibbs, and Gail Rein. 1991. Groupware: Some Issues and Experiences. Commun. ACM 34, 1 (Jan. 1991), 39–58.
R M Featherstone, D M Dryden, M Foisy, J Guise, M D Mitchell, R A Paynter, K A Robinson, C A Umscheid, and L Hartling. 2015. Advancing knowledge of rapid reviews: an analysis of results, conclusions and recommendations from published review articles examining rapid reviews. Systematic reviews 4, 1 (2015), 1–8.
Javier Fernandez-Álvarez, Amanda Díaz-García, Desirée Colombo, Cristina Botella, Pietro Cipresso, and Giuseppe Riva. 2020. Digital Technologies for the Intervention of Emotion Regulation. In Reference Module in Neuroscience and Biobehavioral Psychology. Elsevier. DOI: 10.1016/B978-0-12-818697-8.00033-9
Mirko Fetter, Maximilian Schirmer, and Tom Gross. 2011. CAESSA: visual authoring of context-aware experience sampling studies. In CHI’11 Extended Abstracts on Human Factors in Computing Systems. 2341–2346.
Hugo Fuks, Alberto Barbosa Raposo, Marco Aurélio Gerosa, Mariano Pimentel, Denise Filippo, and CJP de Lucena. 2012. Teorias e modelos de colaboração. Pimentel, M. e Fuks, H. Sistemas colaborativos. (2012).
L Gong and Y Liu. 2019. Design and Application of Intervention Model Based on Learning Analytics under Blended Learning Environment. In ICIET’19. 225–229.
Md Haque, Ferdaus Kawsar, Mohammad Adibuzzaman, Sheikh Ahamed, Richard Love, Rumana Dowla, David Roe, Syed Hossain, and Reza Selim. 2012. Findings of E-ESAS: A Mobile Based Symptom Monitoring System for Breast Cancer Patients in Rural Bangladesh. (2012), 899–908.
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Katie Hoemann, Zulqarnain Khan, Mallory J Feldman, Catie Nielson, Madeleine Devlin, Jennifer Dy, Lisa Feldman Barrett, Jolie B Wormwood, and Karen S Quigley. 2020. Context-aware experience sampling reveals the scale of variation in affective experience. Scientific reports 10, 1 (2020), 1–16. DOI: 10.1038/s41598-020-69180-y
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Stephen S Intille, John Rondoni, Charles Kukla, Isabel Ancona, and Ling Bao. 2003. A context-aware experience sampling tool. In CHI’03 extended abstracts on Human factors in computing systems. 972–973. DOI: 10.1145/765891.766101
Bhanu Kaushik, Maria J. Brunette, Xinwen Fu, and Benyuan Liu. 2014. Customizable, Scalable and Reliable Community-Based Mobile Health Interventions (MobileHealth’14). 43–48.
Inyeop Kim, Hwarang Goh, Nematjon Narziev, Youngtae Noh, and Uichin Lee. 2020. Understanding User Contexts and Coping Strategies for Context-Aware Phone Distraction Management System Design. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 4, Article 134 (Dec. 2020), 33 pages. DOI: 10.1145/3432213
Evan M. Kleiman, Brianna J. Turner, Szymon Fedor, Eleanor E. Beale, Rosalind W. Picard, Jeff C. Huffman, and Matthew K. Nock. 2018. Digital phenotyping of suicidal thoughts. Depression and Anxiety 35, 7 (2018), 601–608. DOI: 10.1002/da.22730 [link]
Reed Larson and Mihaly Csikszentmihalyi. 2014. The experience sampling method. In Flow and the foundations of positive psychology. Springer, 21–34.
Reed Larson, Mihaly Csikszentmihalyi, and Ronald Graef. 1980. Mood variability and the psychosocial adjustment of adolescents. Journal of Youth and Adolescence 9, 6 (1980), 469–490. DOI: 10.1007/BF02089885
Lifedatacorp. [n. d.]. LifeData Experience Sampling App for Research. [link] Acessado: 44363.
Gabriela Marcu, Allison Spiller, Jonathan Arevalo Garay, James Connell, and Laura Pina. 2019. Breakdowns in Home-School Collaboration for Behavioral Intervention (CHI’19). 1–12.
Hamid Mehmood, Tallal Ahmad, Lubna Razaq, Shrirang Mare, Maryem Zafar Usmani, Richard Anderson, and Agha Ali Raza. 2019. Towards Digitization of Collaborative Savings Among Low-Income Groups (CHI’2019, Vol. 3). Article 35.
David C. Mohr, Enid Montague, Colleen Stiles-Shields, Susan M. Kaiser, Christopher Brenner, Eric Carty-Fickes, Hannah Palac, and Jenna Duffecy. 2015. MedLink: A Mobile Intervention to noaddress Failure Points in the Treatment of Depression in General Medicine. (2015), 100–107.
Movisens. [n. d.]. Experience Sampling - movisensXS - movisens GmbH. [link] Acessado: 44363.
Inbal Nahum-Shani, Daniel Almirall, Jamie RT Yap, James R McKay, Kevin G Lynch, Elizabeth A Freiheit, and John J Dziak. 2020. SMART longitudinal analysis: A tutorial for using repeated outcome measures from SMART studies to compare adaptive interventions. Psychological methods 25, 1 (2020), 1. DOI: 10.1037/met0000219
Inbal Nahum-Shani, Eric B Hekler, and Donna Spruijt-Metz. 2015. Building health behavior models to guide the development of just-in-time adaptive interventions: A pragmatic framework. Health Psychology 34, S (2015), 1209.
Morio Onda. 2021. Rotating savings and credit associations as traditional mutual help networks in East Asia. International Journal of Asian Studies (2021), 1–17.
Sydney G O’Connor, Rima Habre, Theresa M Bastain, Claudia M Toledo-Corral, Frank D Gilliland, Sandrah P Eckel, Jane Cabison, Christine H Naya, Shohreh F Farzan, Daniel Chu, et al. 2019. Within-subject effects of environmental and social stressors on pre-and post-partum obesity-related biobehavioral responses in low-income Hispanic women: protocol of an intensive longitudinal study. BMC Public Health 19, 1 (2019), 1–13. DOI: 10.1186/s12889-019-6583-x
Manuel Palomo-Duarte, Anke Berns, José-Luis Isla-Montes, Juan-Manuel Dodero, and Owayss Kabtoul. 2016. A Collaborative Mobile Learning System to Facilitate Foreign Language Learning and Assessment Processes. (2016), 567–572.
Ramach, Divya ran, John Canny, Prabhu Dutta Das, and Edward Cutrell. 2010. Mobile-Izing Health Workers in Rural India (CHI). 1889–98.
Nicolas A. Risso, Andrs Neyem, Jose I. Benedetto, Marie J. Carrillo, Anglica Faras, Macarena J. Gajardo, and Oscar Loyola. 2016. A Cloud-Based Mobile System to Improve Respiratory Therapy Services at Home. J. of Biomedical Informatics 63 (10 2016), 45–53.
M. Haziq Khairul Salleh, Mohd Azfar Miskam, Hanafiah Yussof, and Abdul Rahman Omar. 2017. HRI Assessment of ASKNAO Intervention Framework via Typically Developed Child. Procedia Comput. Sci. 105 (2017), 333–339.
M. Samonte, C Guelos, D Madarang, and M Mercado. 2020. Tap-to-Talk: Filipino Mobile Based Learning Augmentative and Alternative Through Picture Exchange Communication Intervention for Children with Autism. (2020), 25–29.
Holger J Schünemann and Lorenzo Moja. 2015. Reviews: rapid! rapid! rapid!... and systematic. Systematic reviews 4, 1 (2015), 1 – 3.
Larissa Shamseer, David Moher, Mike Clarke, Davina Ghersi, Alessandro Liberati, Mark Petticrew, Paul Shekelle, and Lesley A Stewart. 2015. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ 349 (2015).
Jaemyung Shin, Bumsoo Kang, Taiwoo Park, Jina Huh, Jinhan Kim, and Junehwa Song. 2016. BeUpright: Posture Correction Using Relational Norm Intervention. (2016), 6040–6052.
Lydia A. Shrier, Pamela J. Burke, Meredith Kells, Emily A. Scherer, Vishnudas Sarda, Cassandra Jonestrask, Ziming Xuan, and Sion Kim Harris. 2018. Pilot randomized trial of MOMENT, a motivational counseling-plus-ecological momentary intervention to reduce marijuana use in youth. mHealth 4, 7 (2018). [link]
Joab C Silva. 2021. MIAC: um modelo para autoria de intervenção apoiada por colaboração via dispositivos móveis. Ph. D. Dissertation. (submetida) Universidade de São Paulo.
Joab Cavalcante da Silva. 2021. MIAC: um modelo para autoria de intervenção apoiada por colaboração via dispositivos móveis. Ph. D. Dissertation. Universidade de São Paulo.
B. Solomon, D. Duce, R. Harrison, and K. Boness. 2012. Modeling social media collaborative work. In International Workshop on Modeling in Software Engineering (MISE). 43–49.
Seokwoo Song, Juho Kim, Bumsoo Kang, Wonjeong Park, and John Kim. 2018. BebeCODE: Collaborative Child Development Tracking System (CHI’18). 1–12.
Arthur A Stone and Saul Shiffman. 1994. Ecological momentary assessment (EMA) in behavorial medicine. Annals of Behavioral Medicine 16 (1994), 199–202. Issue 3. DOI: 10.1093/abm/16.3.199
Jéferson Miguel Thalheimer, Aluizio Haendchen, Filho, Fabio Julio Pereira Briks, Rafael Castaneda Ribeiro, Fernando Concatto, and Angélica Karize Viecelli. 2020. A Microservice-Driven Collaborative Agent in Virtual Learning Environments: A Role Model for a Tracing Agent (SBC SBSI’20). Article 21, 8 pages.
P Tiwari and K Sorathia. 2014,p129-138. Visualising and Systematizing a Per-Poor ICT Intervention for Rural and Semi-Urban Mothers in India (VINCI’).
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Publicado
14/10/2024
Como Citar
SILVA, Joab Cavalcante da; DANTAS, Laurentino Augusto; DI MARZO, Marina Ariane D.; RODRIGUES, Kamila Rios; PIMENTEL, Maria da Graça C..
Mobile-based collaborative interventions between target participants and circle participants. In: WORKSHOP DE REVISÕES SISTEMÁTICAS DE LITERATURA EM SISTEMAS MULTIMÍDIAS E WEB - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 30. , 2024, Juiz de Fora/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 159-170.
ISSN 2596-1683.
DOI: https://doi.org/10.5753/webmedia_estendido.2024.243939.
