Developing Elements of User Experience for Mobile Phones and Services: Survey, Interview, and Observation Approaches

Park, Jaehyun; Han, Sung H.; Kim, Hyun Koo; Cho, Young-Seok; Park, Wonkyu

doi:10.1002/hfm.20316

Cited by 150 publications

(104 citation statements)

References 32 publications

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“…Korhonen et al [12] surveyed mobile users and concluded that the mobile device, task at hand and social context are the most influencing factors of the user's QoE. Similarly, Park et al [13] indicated usability, usefulness and affect as the factors, and Shin et al [14] added enjoyment, as well as network access quality to this list. Reichl et al [3] attempt to evaluate QoE in real user environments by capturing user interaction with the mobile phone, as well as the user context using two different cameras mounted on a large female hat worn by the user.…”

Section: Related Workmentioning

confidence: 99%

Factors influencing quality of experience of commonly used mobile applications

et al. 2012

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Increasingly, we use mobile applications and services in our daily life activities, to support our needs for information, communication or leisure. However, user acceptance of a mobile application depends on at least two conditions; the application's perceived experience and the appropriateness of the application to the user's context and needs. Yet, we have a weak understanding of a mobile user's Quality of Experience (QoE) and the factors influencing it. This paper presents 4 week long, 29 Android phone users study, where we collected both QoE and underlying network's Quality of Service (QoS) measures through a combination of user, application and network data on the user's phones. We aimed to derive and improve the understanding of users' QoE for a set of widely used mobile applications in users' natural environments and different daily context. We present data acquired in the study and discuss implications for mobile applications design

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Section: Related Workmentioning

confidence: 99%

Factors influencing quality of experience of commonly used mobile applications

et al. 2012

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“…Although there are multiple categorizations with respect to the elements that comprise the user's experience (Castañeda, Muñoz-Leiva and Luque, 2007;Law et al, 2009;Garrett, 2010;Park et al, 2013;Jang et al, 2016), the proposal by Jang and partners (2016) exclusively evidences its association with the design of game elements in a non-game context. Therefore, the model designed towards the public policies is prescribed according to the following dimensions:…”

Section: Background and Theoretical Considerationsmentioning

confidence: 99%

Modelo procedimental de la evaluación de las políticas públicas a través de la ludificación

et al. 2017

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This article proposes a procedural model designed to optimize the experience of citizens in decision making of public policies through gamification. The study assumes that gamification increases motivation and contributes to increase involvement within a specific area. In this case, gamification is used to encourage citizens' engagement in decision-making, based on three models of evaluation of public policies that incorporate civil participation in three different roles: auditor, passive and active. After applying the Delphi methodology, the results of reliability and internal consistency show that experts attribute a higher value to the model of active participation using gamification. In conclusion, the model designed opens a new area of knowledge within the evaluation of public policies, embedded in the interactivity of the media context. Keywords: public policies; citizen participation; gamification; evaluation model; user experience. Modelo procedimental de la evaluación de las políticas públicas a través de la ludificaciónEste artículo tiene por objeto proponer un modelo procedimental diseñado para optimizar la experiencia de la ciudadanía en la toma de decisiones de las políticas públicas a través de la ludificación. Se parte de la consideración que la ludificación promueve la motivación hacia una actividad prolongando su participación dentro de un ámbito específico. En este caso, se encamina su aplicación para motivar la integración de los ciudadanos en la toma de decisiones. Para ello se contrastan tres modelos de evaluación de políticas públicas que incorporan la participación civil en tres roles diferentes: auditor, pasivo y activo. Al aplicar la metodología Delphi, los resultados de fiabilidad y consistencia interna demuestran que el modelo de participación activa tiene mayor valoración por parte de los expertos respecto a la ludificación, Como conclusión, el modelo generado abre una nueva área de conocimiento dentro de la evaluación de políticas públicas imbuida en la interactividad del contexto mediático. Palabras clave: políticas públicas; participación ciudadana; ludificación; modelo de evaluación; experiencia del usuario. 811Modelo procedimental na avaliação das políticas públicas por meio da gamificação Este artigo tem como objetivo propor um modelo procedimental concebido para otimizar a experiência dos cidadãos na tomada de decisões de políticas públicas por meio da gamificação. Parte-se do pressuposto de que a gamificação promove a motivação para uma atividade, aumentando a participação dentro de um âmbito específico. Nesse caso, a gamificação é utilizada para incentivar o envolvimento dos cidadãos na tomada de decisões. Com esse objetivo, comparam-se três modelos de avaliação de políticas públicas que incorporam a participação civil em três papéis diferentes: auditor, passiva e ativa. Ao aplicar a metodologia Delphi, os resultados de fidelidade e consistência interna revelam que o modelo de participação ativa é alvo de uma valoração superior por parte dos especialistas, no que se refere à...

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“…Recent studies have constructed and investigated user experience in different contexts. For instance, Park et al [15] classify user experience with mobile phones into three categories (present, brand, and product/service experience) and identify specific elements in each category by using survey, interview, and observation methods. Pu et al [16] evaluate the perceived quality of recommendations from a recommendation system by using their proposed evaluation framework consisting of four basic constructs: user perceived qualities, user beliefs, user attributes, and behavioral intensions.…”

Section: Prior Literaturementioning

confidence: 99%

An Experience-Based Framework for Evaluating Tourism Mobile Commerce Platforms

Lyu

Zhang

2017

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This research presents and studies an evaluation framework for tourism mobile commerce platforms based on tourists' experience. Synthesizing from prior literature, relevant theories, and the results of online questionnaires, we select 24 evaluation indices for preliminary evaluation. Using exploratory factor analysis method, we then extract from these indices the following five principal factors: interactive experience, infrastructure experience, personalization experience, product or service quality experience, and product operation experience. We further employ the confirmatory factor analysis to test the construction of the evaluation framework and demonstrate that the evaluation framework is both robust and effective. Finally, based on our proposed evaluation framework, we empirically evaluate the most popular mobile commerce platforms (Ctrip and Qunaer) in China by using fuzzy comprehensive evaluation method.

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Developing Elements of User Experience for Mobile Phones and Services: Survey, Interview, and Observation Approaches

Cited by 150 publications

References 32 publications

Factors influencing quality of experience of commonly used mobile applications

Factors influencing quality of experience of commonly used mobile applications

Modelo procedimental de la evaluación de las políticas públicas a través de la ludificación

An Experience-Based Framework for Evaluating Tourism Mobile Commerce Platforms

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