A bidirectional perspective of trust and risk in determining factors that influence mobile app installation

The purpose of this research is to consider how trust in and perceived risk of a mobile marketplace impact a consumer before installing a mobile application. In particular, trust is considered from the perspective of institutionalized trust, where consumers faced with ignorance rely on institutionalized mechanisms for personal safety. A bidirectional research model is presented based on trust and perceived risk as antecedents to the intent to install a mobile application. Data is collected from a survey of 214 participants and is analyzed using structural equation modeling. Results suggest that institutional loyalty plays a significant role in consumers’ intent to install mobile apps. Trust and its antecedent, security, had strong significant positive relationships with the intention to install mobile apps, while risk and its antecedent, privacy, had weak and insignificant relationships. The bidirectional model’s relationship between trust and risk was also insignificant in both directions, further suggesting that perception of risk is an insignificant factor in the intent to install mobile apps.     

Selecting educational apps for preschool children: How useful are website app rating systems?

In the present paper, we assess whether website rating systems are useful for selecting educational apps for preschool age children. We selected the 10 highest scoring and 10 lowest scoring apps for 2–4-year-olds from two widely used websites (Good App Guide; Common Sense Media). Apps rated highly by the two websites had a higher educational potential as assessed by a validated questionnaire for evaluating the educational potential of apps and were more likely to include a learning goal and feedback compared to low scoring apps. However, high scoring apps scored on average just 9/20 for indicators of educational potential, and both high and low scoring apps had poor language quality as determined by psycholinguistic and construction type analyses. We argue that website rating systems should also include quality of feedback, adjustable content, social interactions, storyline and a more fine-grained analysis of language in their assessments.

Practitioner notes

What is already known about this topic

• Appropriately designed apps for preschool age children have the potential to teach early school readiness skills.
• Selecting high quality educational apps for preschool age children is challenging.
• The children's app marketplace is currently unregulated.

What this paper adds

• We assess whether two leading app rating websites are useful for selecting educational apps for preschool age children.
• Children's apps rated highly by two app website rating systems had a higher educational potential than low rated apps as measured by a research informed app evaluation tool.
• In-depth analysis of the language in apps shows that highly rated children's apps on app rating websites may not enrich a child's early language environment.

Implications for practice and/or policy

• Children's app rating website assessments should include potential for feedback, language, adjustable content, storyline and social interactions.
• Policy should be implemented for app ratings in the app stores or on website app rating systems.

     

运动类APP对大学生晨跑锻炼行为的应用对策探析

智能手机的广泛普及为APP程序营造了极为良好的生存环境。而伴随着人们健康意识的提升,伴随着人们对于健康生活追求的迫切,运动APP也成为很多公众手机里的重要内容。对于大学生而言,在练就过硬的专业课程能力的基础之上,还要将体育锻炼放在一个至关重要的位置之上。为此,运动类APP在为大学生进行运动设计、开展运动考核等方面扮演了重要的角色。晨跑是大学生体育锻炼的一个重要方式,为此,文章在对运动类APP的基本内涵和主要类型进行分析和阐述以后,主要探讨了运动APP在大学生晨跑运用中发挥的作用,并为大学生群体运动APP的应用策略提出了一些具有独创性的对策和建议。     

The Form of Content Personalisation at Mainstream,Transatlantic News Outlets: 2010–2016

ABSTRACT

In October 2016 the New York Times announced new content personalisation features for its websites and mobile apps, with the promise of “much more to come”. This article examines such developments via a quantitative content analysis of personalisation features at 15 major news outlets in the United Kingdom, the United States, and Germany and via interviews with senior editorial staff at some of those outlets. Both websites and mobile apps were studied, allowing comparisons to be made across platforms as well as geographically. Longitudinal comparisons were also made against an equivalent survey conducted in 2010. The results reveal significant changes over the last six years with, for example, rises in personalisation on mobile platforms, falls in the use of recommendations by friends, and convergence and commodification in content recommendation platforms. This study provides evidence to support continued debates on classical concerns such as selective exposure, but also raises new concerns about the effects of personalisation, including data protection and security issues.     

I’ve got this: Fostering topic and technology-related emotional engagement and queer history knowledge with a mobile app

Little research has been conducted to differentiate between multiple, and frequently simultaneously available, discrete object foci in academic achievement situations that emotions can be generated from, including technology and academic topics. Using R. Pekrun’s control-value theory of achievement emotions and Sharples and colleagues’ Mobile Learning Theory, we examined whether appraisals of control over technology and task value predicted emotions directed toward using a mobile app (technology-related emotions) and queer history content (topic emotions). In turn, we examined whether technology-related and topic emotions predicted objective and subjective knowledge outcomes. The main results of this study that examined 57 undergraduate students at a Canadian University were the following: (1) Learners reported high mean levels of technological control over the app. (2) Relatively high mean levels of task value. (3) High mean levels of enjoyment and low mean levels of boredom across both technology-related and topic emotions. (4) Learners’ appraisals of task value contributed to multiple regression models that statistically significantly predicted all emotions; appraisals of control over technology contributed to the multiple regression model (along with task value) that statistically significantly predicted technology-related enjoyment. And (5) technology-related enjoyment and topic boredom contributed to multiple regression models that statistically significantly predicted perceived success of learning. Findings and implications are discussed from a critical-analytical perspective.     

陌生交往中用户持续使用行为影响因素的研究--以“Soul”社交APP为例

[目的/意义]对移动互联网环境下陌生人社交软件的用户群体开展持续使用行为影响因素的分析研究,有助于了解这类用户群体的信息需求和情感需求,进一步丰富社交平台用户行为领域研究的相关理论,对陌生人社交平台未来的发展提供一定的参考。[方法/过程]采用扎根理论方法,对“Soul”社交APP用户展开调研,利用半结构化访谈采集用户相关数据并对其进行开放式编码、主轴编码和选择性编码,在确定范畴关系的基础上对用户的持续使用行为进行实证分析,并对影响因素进行探究。[结果/结论]陌生人社交软件用户的使用行为受到用户情感、用户感知、平台因素、社交因素、情境因素、用户持续使用意愿六方面的影响,并由此在产品运营角度对陌生人社交平台未来发展提出若干建议。     

Ara Irititja and Ara Winki in the APY Lands: connecting archives to communities through mobile apps on portable devices

ABSTRACT

Ara Irititja is an enduring and multifaceted project that returns and collectively documents Anangu historical material and preserves it for the future. This paper explains why the archival project has been so effective in engaging Indigenous communities and what it is doing to ensure its longevity. In particular, the paper provides details about a new pilot project which has resulted in a software application entitled Ara Winki No. 1, ‘a whole lot of stories’, specifically for use on portable electronic devices, which delivers historical and cultural content of relevance to Anangu in local languages and works to connect the existing archive to younger generations.     

出租车打车软件模型研究及应用

为研究使用打车软件对乘客等车时间和出租车空驶时间的影响,将乘客分为扬招乘客、使用打车软件不加价者和使用打车软件加价者三类,建立打车软件模型.考虑接收出行信息约束、接单约束、加价约束等,并比较三类乘客的比例对乘客等车时间和出租车空驶时间的影响.结果表明应该鼓励乘客使用打车软件,面对加价行为可能影响公平时,可以采取延长加价等待时间,减少加价金额上限,灵活调整司机接短途订单的最小等待时间并配合积分奖励措施,以减少不公平的程度.     

采用间接法将净利润调整为现金流量净额的探讨--现金流量表补充资料第二部分

现金流量表补充资料主要采用间接法编制。论述了编制现金流量表补充资料的原因,编制表的重要性及编制方法,揭示不涉及现金收支的投资和筹资数额,从而验证现金的净增减数额。