Het is tijd voor een nieuwe geïntegreerde visie op internationalisering, vindt Hans de Wit. Lees wat hij hiermee bedoelt in het opiniestuk in Folia Magazine van 10 april 2013. ‘Door te bezuinigen op internationalisering verliest Nederland de aansluiting op de wereldtop’
Which factors are important for effectiveness of sport- and health-related apps? Results of focus groups with experts.Dallinga, J, van der Werf, J , Janssen, M, Vos, S, Deutekom-Baart de la Faille, M.A huge amount of sport- and health-related smartphone applications (apps) is available in the app stores [1]. These apps are often used by individual recreational athletes participating in running, walking or cycling [2]. Exercise apps ideally should support athletes and encourage them to be physical active in a frequent and healthy way. In order to reach these goals, more insight into the value of different app features is necessary. With this knowledge the health enhancing effects of apps can be improved. Therefore the aim of this study was to identify which features in sport- and health-related apps are important for stimulating and maintaining physical activity. Two focus groups (n=4 & n=3) were organized to identify and rank app features relevant for increasing and maintaining physical activity. These groups were facilitated by two of the authors (JD and JvdW). A nominal group technique was used. Seven behavioral and sport scientists participated in the focus groups consisting of three consultation rounds. In the first round these experts were asked to individually list all factors that they found necessary for increasing and maintaining physical activity. After that, all factors were collected, explained and listed on a white board. In the second round the experts were asked to individually rank the ten most important features. Subsequently, these rankings were discussed groupwise. In the last round, the experts individually made a final ranking of the ten most important features. In addition, they were also asked to appoint a score to each feature (0-100), to indicate the importance.The participants in the focus groups generated 28 and 24 features respectively in round one. After combining these features and checking for duplicates, we reduced the number of features to 25. Factors with highest frequency in the top 10 most important factors were ‘usability’ (n=7), ‘monitoring’ (n=5), ‘fun’ (n=5), ‘anticipating/context awareness’ (n=5) and ‘motivational feedback’ (n=4). Factors with highest importance scores were ‘instructional feedback’ (95.0), ‘motivating/challenging’ (95.0), ‘monitoring’ (92.5), ‘peer rating and peer use’ (92.0) and ‘motivational feedback’ (91.3). In conclusion, based on opinions of behavioral and sport scientists several app features were extracted related to physical activity, with instructional feedback and features that motivate or challenge the athlete as most important. A smart and tailored app may need to be developed that can provide feedback and anticipate on the environment. A feature for monitoring and a fun element may need to be included as well. Interestingly, usability was mentioned by all experts, this seems to be a premise for effectiveness of the app. Based on the results of this study, currently available exercise app rating scales could be revised [3, 4].This research is cofinanced by ‘Regieorgaan SIA’, part of the Netherlands Organisation for Scientific Research (NWO) and by the Dutch national program COMMIT.References[1] Yuan S, Ma W, Kanthawala S, Peng W. Keep Using My Health Apps: Discover Users' Perception of Health and Fitness Apps with the UTAUT2 Model. Telemed J E Health. 2015 Sep;21(9):735-41. doi: 10.1089/tmj.2014.0148.[2] Dallinga JM., Janssen M, van der Bie J, Nibbeling N, Krose B, Goudsmit J, Megens C, Baart de la Faille-Deutekom M en Vos S. De rol van innovatieve technologie in het stimuleren van sport en bewegen in de steden Amsterdam en Eindhoven. Vrijtijdstudies. 2016, 34 (2): 43-57.[3] Abraham C, Michie S. A taxonomy of behavior change techniques used in interventions. Health Psychol. 2008 May;27(3):379-87. doi: 10.1037/0278-6133.27.3.379.[4] Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M. Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR Mhealth Uhealth. 2015 Mar 11;3(1):e27. doi: 10.2196/mhealth.3422
Content Analysis has been developed within communication science as a technique to analyze bodies of text for features or (recurring) themes, in order to identify cultural indicators, societal trends and issues. And while Content Analysis has seen a tremendous uptake across scientific disciplines, the advent of digital media has presented new challenges to the demarcation and study of content. Within Content Analysis, different strategies have been put forward to grapple with these dynamics. And although these approaches each present ways forward for the analysis of web content, they do not yet regard the vast differences between web platforms that serve content, which each have their own ‘technicities,’ e.g. carry their own (often visually undisclosed) formats and formatting, and output their own results and rankings. In this dissertation I therefore develop Networked Content Analysis as a term for such techniques of Content Analysis that are adapted specifically to the study of networked digital media content. The case in question is climate change, one of the major societal challenges of our times, which I study on the web and with search engines, on Wikipedia as well as Twitter. In all, my contribution provides footing for a return to the roots of Content Analysis and at the same time adds to its toolkit the necessary web- and platform-specific research techniques for creating a fine-grained picture of the climate change debate as it takes place across platforms.
MULTIFILE
