scholarly journals A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form

2018 ◽  
Vol 112 ◽  
pp. 28-39 ◽  
Author(s):  
Heather L. O’Brien ◽  
Paul Cairns ◽  
Mark Hall
Author(s):  
Heather L. O'Brien ◽  
Paul Cairns ◽  
Mark Hall

2019 ◽  
Vol 20 (2) ◽  
pp. 79-90 ◽  
Author(s):  
Guillaume Fontaine ◽  
Sylvie Cossette ◽  
Marc-André Maheu-Cadotte ◽  
Tanya Mailhot ◽  
Patrick Lavoie ◽  
...  

Contexte : L’apprentissage numérique chez les professionnels de la santé amène des défis comme le manque d’engagement et l’excès de charge cognitive. Toutefois, il n’existe pas de mesures d’engagement et de charge cognitive validées en français. De telles mesures permettraient de considérer ces variables dans le développement de formations numériques et l’évaluation de leurs effets. Buts : (1) Traduire et adapter la User Engagement Scale – Short Form et le Cognitive Load Index en français ; (2) Effectuer une évaluation psychométrique préliminaire des échelles afin d’examiner leurs caractéristiques, les corrélations entre les sous-échelles et la cohérence interne. Méthode : La traduction et l’adaptation ont été réalisées selon Sousa et Rojjanasrirat (2011). Pour l’évaluation des propriétés psychométriques, des étudiants en sciences infirmières ont répondu en ligne à l’Échelle d’engagement de l’utilisateur – Forme abrégée (EEU-FA) et à l’Indice de charge cognitive (IDCC). Les données ont été analysées par des statistiques descriptives, des coefficients de corrélation de Pearson, des coefficients omega (ω) de McDonald et des coefficients alpha (α) de Cronbach. Résultats : Cinquante-sept participants ont complété l’étude. La majorité des distributions étaient normales. Les corrélations entre les sous-échelles étaient entre 0,03 et 0,64 pour l’EEU-FA, et entre −0,12 à 0,41 pour l’IDCC. Les coefficients ω pour l’EEU-FA (0,77 à 0,89) et α pour l’IDCC (0,70 à 0,96) démontrent une bonne cohérence interne. Conclusions : Cette étude a permis de traduire et d’adapter en français des mesures d’engagement et de charge cognitive en contexte numérique. Les échelles font état de bonnes qualités psychométriques préliminaires.


2021 ◽  
Author(s):  
Silvia Gabrielli ◽  
Silvia Rizzi ◽  
Giulia Bassi ◽  
Sara Carbone ◽  
Rosa Maimone ◽  
...  

BACKGROUND University students are increasingly reporting common mental health problems, such as stress, anxiety, and depression, and they frequently face barriers to seeking psychological support because of stigma, cost, and availability of mental health services. This issue is even more critical in the challenging time of the COVID-19 pandemic. Digital mental health interventions, such as those delivered via chatbots on mobile devices, offer the potential to achieve scalability of healthy-coping interventions by lowering cost and supporting prevention. OBJECTIVE The goal of this study was to conduct a proof-of-concept evaluation measuring the engagement and effectiveness of Atena, a psychoeducational chatbot supporting healthy coping with stress and anxiety, among a population of university students. METHODS In a proof-of-concept study, 71 university students were recruited during the COVID-19 pandemic; 68% (48/71) were female, they were all in their first year of university, and their mean age was 20.6 years (SD 2.4). Enrolled students were asked to use the Atena psychoeducational chatbot for 4 weeks (eight sessions; two per week), which provided healthy-coping strategies based on cognitive behavioral therapy, positive psychology, and mindfulness techniques. The intervention program consisted of conversations combined with audiovisual clips delivered via the Atena chatbot. Participants were asked to complete web-based versions of the 7-item Generalized Anxiety Disorder scale (GAD-7), the 10-item Perceived Stress Scale (PSS-10), and the Five-Facet Mindfulness Questionnaire (FFMQ) at baseline and postintervention to assess effectiveness. They were also asked to complete the User Engagement Scale–Short Form at week 2 to assess engagement with the chatbot and to provide qualitative comments on their overall experience with Atena postintervention. RESULTS Participants engaged with the Atena chatbot an average of 78 (SD 24.8) times over the study period. A total of 61 out of 71 (86%) participants completed the first 2 weeks of the intervention and provided data on engagement (10/71, 14% attrition). A total of 41 participants out of 71 (58%) completed the full intervention and the postintervention questionnaires (30/71, 42% attrition). Results from the completer analysis showed a significant decrease in anxiety symptoms for participants in more extreme GAD-7 score ranges (<i>t</i><sub>39</sub>=0.94; <i>P</i>=.009) and a decrease in stress symptoms as measured by the PSS-10 (<i>t</i><sub>39</sub>=2.00; <i>P</i>=.05) for all participants postintervention. Participants also improved significantly in the <i>describing</i> and <i>nonjudging</i> facets, based on their FFMQ subscale scores, and asked for some improvements in the user experience with the chatbot. CONCLUSIONS This study shows the benefit of deploying a digital healthy-coping intervention via a chatbot to support university students experiencing higher levels of distress. While findings collected during the COVID-19 pandemic show promise, further research is required to confirm conclusions.


10.2196/13244 ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. e13244 ◽  
Author(s):  
Marianne Holdener ◽  
Alain Gut ◽  
Alfred Angerer

Background There has recently been exponential growth in the development and use of health apps on mobile phones. As with most mobile apps, however, the majority of users abandon them quickly and after minimal use. One of the most critical factors for the success of a health app is how to support users’ commitment to their health. Despite increased interest from researchers in mobile health, few studies have examined the measurement of user engagement with health apps. Objective User engagement is a multidimensional, complex phenomenon. The aim of this study was to understand the concept of user engagement and, in particular, to demonstrate the applicability of a user engagement scale (UES) to mobile health apps. Methods To determine the measurability of user engagement in a mobile health context, a UES was employed, which is a psychometric tool to measure user engagement with a digital system. This was adapted to Ada, developed by Ada Health, an artificial intelligence–powered personalized health guide that helps people understand their health. A principal component analysis (PCA) with varimax rotation was conducted on 30 items. In addition, sum scores as means of each subscale were calculated. Results Survey data from 73 Ada users were analyzed. PCA was determined to be suitable, as verified by the sampling adequacy of Kaiser-Meyer-Olkin=0.858, a significant Bartlett test of sphericity (χ2300=1127.1; P<.001), and communalities mostly within the 0.7 range. Although 5 items had to be removed because of low factor loadings, the results of the remaining 25 items revealed 4 attributes: perceived usability, aesthetic appeal, reward, and focused attention. Ada users showed the highest engagement level with perceived usability, with a value of 294, followed by aesthetic appeal, reward, and focused attention. Conclusions Although the UES was deployed in German and adapted to another digital domain, PCA yielded consistent subscales and a 4-factor structure. This indicates that user engagement with health apps can be assessed with the German version of the UES. These results can benefit related mobile health app engagement research and may be of importance to marketers and app developers.


2013 ◽  
Vol 29 (1) ◽  
pp. 58-63 ◽  
Author(s):  
Hadassah Littman-Ovadia ◽  
Cristian Balducci

Work engagement may be defined as a positive and fulfilling psychological state associated with both affective response and mental arousal. This study investigated the psychometric properties of the Hebrew version of the Utrecht Work Engagement Scale (UWES-9) by using a sample of Israeli (N = 252) white-collar employees. We conducted a series of confirmatory factor analyses of the UWES-9 in addition to the customary reliability analyses and found that a three-factor solution of the UWES-9 best fit the data and confirmed the dimensions of vigor, dedication, and absorption associated with work engagement. The reliability coefficients of consistency were high. The validity of the UWES-9 was confirmed by its correlations with Job-Intrinsic and Job-Extrinsic Satisfaction (MSQ-SF; Minnesota Satisfaction Questionnaire Short Form). The Hebrew version of the UWES-9 administered to Israelis shares the same psychometric properties reported for the original Dutch version and suggests a transnational, translinguistic, and transcultural validity.


2022 ◽  
pp. 109-134
Author(s):  
Fernando Almeida ◽  
Nuno Bernardo ◽  
Rúben Lacerda

There is a huge proliferation of digital products on the market today for both large enterprises and small businesses. Most of these companies have experienced the development of software products for the mobile market and have been faced with the major challenge of capturing the customer's attention. There is a great focus on making a great first impact and providing the audience with the best possible digital experience. Accordingly, issues related to usability, accessibility, and user experience are extremely relevant. This chapter addresses how these practices can be used in practice by building an app that offers car cleaning services. Several approaches based on building app interfaces that increase user engagement and retention levels are explored and discussed.


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