Context relevant persuasive interaction and design: consideration of human factors influencing B2C persuasive interaction

The revolutions of electronic and mobile commerce have opened up unique opportunities for global marketing and business to consumer (B2C) persuasive interaction; with the aim of influencing user behavior. The success or failure of such persuasive interaction is impacted by cultural, social, and personal dimensions. Accordingly, failure to consider such dimensions risks the user forming a negative attitude towards retailer’s websites or mobile applications, which subsequently threatens customer behavior. A better understanding of human factors influencing the way people perceive B2C persuasive interaction is needed. This paper is introduces the concept of a context relevant persuasive interaction and proposes a guideline for designing relevant B2C persuasive interaction

Modeling building semantics: providing feedback and sustainability

Even minor changes in user activity can bring about significant energy savings within built space. Many building performance assessment methods have been developed, however these often disregard the impact of user behavior (i.e. the social, cultural and organizational aspects of the building). Building users currently have limited means of determining how sustainable they are, in context of the specific building structure and/or when compared to other users performing similar activities, it is therefore easy for users to dismiss their energy use. To support sustainability, buildings must be able to monitor energy use, identify areas of potential change in the context of user activity and provide contextually relevant information to facilitate persuasion management. If the building is able to provide users with detailed information about how specific user activity that is wasteful, this should provide considerable motivation to implement positive change. This paper proposes using a dynamic and temporal semantic model, to populate information within a model of persuasion, to manage user change. By semantically mapping a building, and linking this to persuasion management we suggest that: i) building energy use can be monitored and analyzed over time; ii) persuasive management can be facilitated to move user activity towards sustainability

Designing persuasive third party applications for social networking services based on the 3D-RAB model

The use of social networks services for promoting business, teaching, learning, persuasion and spread of information continues to attract attention as most social networking services (SNSs) now allow third party applications to operate on their sites. In the field of persuasive technology, the ability of SNSs to build relationships among their users and create momentum and enthusiasm through rapid cycles also give it a greater advantage over other persuasive technology approaches. In this paper we discuss the 3-dimensional relationship between attitude and behavior (3D-RAB) model, and demonstrate how it can be used in designing third-party persuasive applications in SNSs by considering external factors which affects persuasive strategies

Adapted customer relationship management implementation framework:facilitating value creation in nursing homes

This paper proposes a framework to support Customer Relationship Management (CRM) implementation in nursing homes. The work extends research by Cheng et al. (2005) who conducted in-depth questionnaires to identify critical features (termed value-characteristics), which are areas identified as adding the most value if implemented. Although Cheng et al. did proposed an implementation framework, summary of, and inconsistent inclusion of value-characteristics, limits the practical use of this contribution during implementation. In this paper we adapt the original framework to correct perceived deficiencies. We link the value characteristics to operational, analytical, strategic and/or collaborative CRM solution types, to allow consideration in context of practical implementation solutions. The outcome of this paper shows that, practically, a 'one solution meets all characteristic' approach to CRM implementation within nursing homes is inappropriate. Our framework, however, supports implementers in identifying how value can be gained when implementing a specific CRM solution within nursing homes; which subsequently support project management and expectation management

A framework for customer relationship management strategy orientation support in higher education institutions

A number of generic Customer Relationship Management (CRM) implementation frameworks have been developed, yet no systematic framework has been developed to help HEIs orientate CRM strategy to align with university business strategies and stakeholder needs. This research iteratively develops the CRM Strategy Orientation Support (CRM-SOS) framework, which aims to support HEIs in orientating their strategic CRM system at the pre-implementation stage and align CRM strategy with the business strategy; thus, reducing the chance that HEIs will experience CRM implementation failure. To reach our proposed CRM-SOS framework, we employed Design Science Research (DSR) methodology steps by analysing UK HEIs specific CRM implementation case studies, conducting semi-structured HEIs-based interviews, followed by evaluation of the resulted framework by HEI Information Systems (IS) experts. We concluded with a new CRM-SOS framework for HEIs consisting of five stages. The framework can be used to personalise the stages until they fit the strategic outputs and match the top management KPIs. Although existing research agrees that intensive attention should be given to CRM planning, there is no consensus or developed framework, for use within HEIs, demonstrating how CRM strategy can be orientated to align with university strategies and customer needs

Validating learner based e-learning barriers: developing an instrument to aid e-learning implementation management and leadership

Purpose COVID-19 has had global repercussions on use of e-learning solutions. In order to maximise the promise of e-learning, it is necessary for managers to understand, control and avoid barriers that impact learner continuance of e-learning systems. The TIPEC framework (Ali et al., 2018) identified theoretical barriers to e-learning implementation, i.e. grouped into four theoretical concepts (7 Technology, 26 Individual, 28 Pedagogy, and 7 Enabling Conditions). This study validates the 26 theoretical individual barriers . Appreciating individual barriers will help the e-learning implementation team to better scope system requirements, and help achieve better student engagement, continuation, and ultimately success. Design/Methodology/Approach Data was collected from 344 e-learning students and corporate trainees, across a range of degree programs. Exploratory and confirmatory factor analysis was used to define and validate barrier themes. Comparison of results against Ali et al (2018) allow comparison of theoretical and validated compound factors. Findings Results of exploratory and confirmatory factor analysis combined several factors and defined 16 significant categories of barriers instead of the 26 mentioned in TIPEC Framework. Originality / Value Individual learner barriers, unlike technology and pedological barriers which can be directly identified and managed, appear abstract and unmanageable. This paper, considering implementation from the learner perspective, not only suggests a more simplified ontology of individual barriers, but presents empirically validated questionnaire items (see Appendix A) that can be used by implementation managers and practitioners as an instrument to highlight the barriers that impact individuals using e-learning factors. Awareness of individual barriers can help content provider to adapt system design and/or use conditions to maximize the benefits of e-learning users. Keywords – TIPEC framework, e-learning information systems, Implementation, Individual Barrier

Research investigating individual device preference and e-learning quality perception: can a one-solution-fits-all e-learning solution work?

Background: COVID-19 caused a paradigm shift for educators, and raised many questions about the future of technology in the delivery of educational content. Literature highlights numerous benefits of using e-learning solutions, yet many still consider ‘online learning’ as the cheap / ‘low-quality’ alternative to traditional ‘face-to-face’ models. In this research we ask two questions that are critical to the effective development of future e-learning solutions: Do students prefer face-to-face (traditional) learning methods or e-learning technology enabled solutions? Does perception of e-learning, and/or device preference, vary between individuals? Methods: A three part, quantitative questionnaire was developed, based on previously used questionnaire items, which collected: demographic data, student preference concerning learning, and individual variance - via use of the Cultural Value (CV) Scale dimension test. Data was collected from 518 participants using convenience sampling from a range of universities in Pakistan. EFA and CFA showed that questions and factor loading was good. CV Scale results show clear loading and model fit at the individual level, allowing application of results beyond Pakistan. Results: By considering the CV Scale dimensions, our results highlighted three distinct technology preference clusters: i) students, with a high-power distance score, who prefer traditional face-to-face teaching methods; ii) students with low power distance and high uncertainty avoidance scores, who prefer use of e-learning on their mobile devices, and iii) students with low power distance and low uncertainty avoidance scored, who prefer to use laptop devices. Conclusions: This paper highlights that the majority of students are happy to engage with online blended learning solutions, however a one-solution fits all approach to technology use in education fail to satisfy the interaction preferences need of all student groups. Only by embracing flexible and mixed blend delivery models, supporting interaction across a range of pervasive devices, can we maximize student perception towards education service provision. Keywords: Face-to-Face learning, E-learning, Culture Value Dimensions, HE services quality indicators, Quality Perception, Quality Indicator

Mulsemedia: State of the art, perspectives, and challenges

Mulsemedia-multiple sensorial media-captures a wide variety of research efforts and applications. This article presents a historic perspective on mulsemedia work and reviews current developments in the area. These take place across the traditional multimedia spectrum-from virtual reality applications to computer games-as well as efforts in the arts, gastronomy, and therapy, to mention a few. We also describe standardization efforts, via the MPEG-V standard, and identify future developments and exciting challenges the community needs to overcome

Defining user perception of distributed multimedia quality

This article presents the results of a study that explored the human side of the multimedia experience. We propose a model that assesses quality variation from three distinct levels: the network, the media and the content levels; and from two views: the technical and the user perspective. By facilitating parameter variation at each of the quality levels and from each of the perspectives, we were able to examine their impact on user quality perception. Results show that a significant reduction in frame rate does not proportionally reduce the user's understanding of the presentation independent of technical parameters, that multimedia content type significantly impacts user information assimilation, user level of enjoyment, and user perception of quality, and that the device display type impacts user information assimilation and user perception of quality. Finally, to ensure the transfer of information, low-level abstraction (network-level) parameters, such as delay and jitter, should be adapted; to maintain the user's level of enjoyment, high-level abstraction quality parameters (content-level), such as the appropriate use of display screens, should be adapted

Can a low-cost eye-tracker assess the impact of a valent stimulus? A study replicating the visual backward masking paradigm

Capturing affective response to valent stimuli using eye-tracking is not only of interest to academic research, but also to commercial equipment developers (e.g., car dashboards). In order to investigate whether a low-cost eye-tracker can effectively detect participants’ physiological response to negatively valent stimuli, forty-four participants aged 19-24 (mean = 24.7, SD = 5.8) were recruited to complete the visual backward masking paradigm in a repeated-measures experimental design. Saccadic duration and pupil sizes were recorded using a lower-end 60-hz tracker. Data was analysed using a mix of parametric and non-parametric tests. Our results suggest that valence in the form of fearful vs neutral faces has a significant main effect on both saccadic duration [V = 931, p < 0.001, d = 0.96] and pupil size [t(43) = 29.81, p < 0.001, d = 3.91)]. Our findings were further supported by Bayes Factor analysis, which showed that saccadic duration data was 24 times more likely to occur, and pupil size measurement data was 89 times more likely, under the alternative hypothesis, showing that differences in valence had a main effect. The combined evidence produced by our Bayesian analysis, the large effect sizes of our frequentist analysis, and the significant effect on two separate measurements lead us to suggest that, under the right conditions, low-cost eye trackers can successfully detect changes in saccadic duration and pupil sizes as a result of physiological responses to threat-relevant visual stimuli