Sustainable usage through emotional engagement: a user experience analysis of an adaptive driving school application

Dirin, Amir; Laine, Teemu H.; Nieminen, Marko

doi:10.1007/s10111-017-0406-6

Cited by 17 publications

(7 citation statements)

References 45 publications

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“…2.2 | Factors that affect student engagement 2.2.1 | Acceptance, feedback and user Interface According to Dirin, Laine, and Nieminen (2017), satisfaction is one of the main factors that affects student engagement in m-learning applications. In this study, we focused on three constructs of satisfaction, namely perceived ease of use and perceived usefulness, all of which have been found to influence behavioural intention to use (Verkasalo, López-Nicolás, Molina-Castillo, & Bouwman, 2010).…”

Section: Engagementmentioning

confidence: 99%

Student engagement with mobile‐based assessment systems: A survival analysis

Bacca‐Acosta

Avila

2020

Computer Assisted Learning

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Research on mobile-based assessment systems is still an emerging topic in the mobile learning field. Current research has demonstrated that the use of mobile-based assessment systems seems to have a positive impact on students' learning outcomes and motivation. The paper identifies some factors that influence student engagement with mobile-based formative assessment in a language learning course. Survival analysis of the interaction of N = 86 students from eight English as a Foreign Language (EFL) courses over 5 weeks showed that students with higher levels of self-reported effort and perceived importance engaged for longer periods of time. Perceived ease of use, perceived usefulness and behavioural intention to use were all predictors of the longer use of mobile-based assessment systems. We found that within the first 25-50 min of use, about half of the students might disengage from using a mobilebased assessment application.

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Section: Engagementmentioning

confidence: 99%

Student engagement with mobile‐based assessment systems: A survival analysis

Bacca‐Acosta

Avila

2020

Computer Assisted Learning

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“…Such assessments help designers determine whether the application is usable and whether it satisfies the essential needs of its intended users. In addition to usability measurements, we deployed the emotional engagement analysis (EEA) method [40] ,which is based on subjective and behavioral measurements, and the four user experience factors described above. Together, these assessments indicate an application's usability, adaptivity, and how users will be emotionally attached to the application.…”

Section: Evaluation Methodologymentioning

confidence: 99%

Managing Emotional Requirements in a Context-Aware Mobile Application for Tourists

Dirin¹,

Laine²,

Alamäki³

2018

Int. J. Interact. Mob. Technol.

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Abstract-The objective of this study was to unveil the importance of emotions and feelings in developing mobile-based tourism applications. We gathered and analyzed emotional requirements to develop a mobile context-aware application for tourists. Emotional requirements are non-functional requirements affecting users' emotional experiences around using applications, which are important for sustainable application usage. Many tourism applications exist, but were designed without considering emotional requirements or related UX factors and emotions. We developed a proof-of-concept prototype servicebased context-aware tourism application (SCATA), and users participated in the design and evaluation processes. Emotional requirements are key to sustainable usage, especially regarding security. This paper details the application design and evaluation processes, emotional requirements analysis in each design phase, and the emotional effects of content accessibility in the application's offline mode in unknown environments. The results show that trust, security, adjustability, and reliability are important factors to users, especially in unknown environments.

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“…In addition, Park [2] presented playfulness, usability, playful characteristics, aesthetics, and intention to use on a user experience evaluation scale, whereas Olsson et al [31] categorized UX for mobile AR into 12 elements: captivation, collectivity, connectedness, creativity, efficiency and accomplishment, empowerment, increased awareness and knowledge, inspiration, intuitiveness, liveliness, playfulness and entertainment, and surprise. Dirin et al [32] emphasized emotional engagement and explained it as adjustability, delightfulness, reliability, and satisfaction, as summarized in Table 1. The UX factors they suggested can be summarized as utility, usability, playfulness, aesthetics, intention to use, social relations, and disability considerations.…”

Section: User Experience For Virtual Realitymentioning

confidence: 99%

User Experience in VR Fashion Product Shopping: Focusing on Tangible Interactions

Kim

2021

Applied Sciences

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It is necessary to focus on a VR environment centered on a tangible interaction (TI), which provides and interacts with the user experience (UX) with various sensational forms. Therefore, this study attempted to present UX evaluation items for VR fashion product shopping environment through focusing on the TI. In addition, the developed factors were evaluated for validity through empirical experiments and attempted to explore the possibility of using a VR shopping UX evaluation methodology. As a result of factor analysis of items related to VR shopping, six factors were extracted, and each factor was named as intention to use, playfulness, sharpness, telepresence, interactivity, and usability, respectively. As a result of a t-test for the difference in UX between immersive VR and non-immersive VR, it was found that there were significant differences in intention to use, playfulness, sharpness, and telepresence. As a result of performing a multiple regression analysis to analyze the effect of TI on the VR fashion shopping UX, it was found that interaction, playfulness, and telepresence are UX factors that are formed under the influence of TI in an immersive VR. In addition, intention to use, sharpness, telepresence, and usability were found to be factors experienced as an effect of TI in a non-immersive VR.

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Sustainable usage through emotional engagement: a user experience analysis of an adaptive driving school application

Cited by 17 publications

References 45 publications

Student engagement with mobile‐based assessment systems: A survival analysis

Student engagement with mobile‐based assessment systems: A survival analysis

Managing Emotional Requirements in a Context-Aware Mobile Application for Tourists

User Experience in VR Fashion Product Shopping: Focusing on Tangible Interactions

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