Massive Online Open Courses (MOOCs) are making low cost learning opportunities available at large scale to diverse groups of learners. For that reason, MOOCs need to be accessible so that they can offer flexibility of learning and benefits to all. In order to direct efforts towards developing accessible MOOCs, it is important to understand the current expectations of disabled learners. Analysis of data from MOOC surveys that support disclosure of disability provide quantitative information such as the proportions participating in MOOCs; their reasons for participating, and the types of MOOCs they prefer. This paper presents analysis of pre- and post-study survey data from eight MOOCs offered by the UK's Open University on the FutureLearn platform. Results from disabled learners are compared with those of other learners and preliminary findings are used to frame an agenda for our further work.

The paper addresses the problem of engaging part-time PhD students studying at a distance in a community of students. It reports on a longitudinal survey of part-time Computing PhD students' use of digital technologies to support them in engaging in formal and informal doctoral dialogues, documenting and reflecting on their research, engaging with the community, and keeping themselves informed. It considers `what works' in students' deployment of technologies and highlights both changes in use and persistent phenomena.

In this paper we present a process model for developing usable cross-cultural websites. Compatible with ISO 13407, the process model documents an abstraction of the design process focusing on cultural issues in development. It provides a framework in which a variety of user-based and expert-based techniques for analysis and design are placed within the life-cycle of website development. In developing the model, we relate practical approaches to design with theories and models of culture and discuss the relevance of such theories to the practical design process. In particular we focus on four key concerns: how an audit of local website attractors can inform the design process; the concept of a cultural fingerprint to contrast websites with the cultural needs of local users; the problems associated with user evaluation; and cross-cultural team development. We then show their relation to our process model. We conclude by summarising our contribution to date within the field.

This paper reports on a study that investigated consumer use of e-services in a multi-channel context. Many HCI studies on the use of e-services focus on the use of the online channel in relative isolation. This study attempts to develop a deeper understanding of what makes consumers decide to use the online channel in examining consumer channel-choice beyond the instances of internet use. The consumption behaviour of its participants was investigated across channels in an in-depth qualitative study. The analysis of the rich data produced specifically focused on the investigation of voluntary consumer movements between online and offline channels during the course of a consumption process. The results indicate that participants often use multiple channels in parallel and frequently switch between channels. Literature from marketing and consumer research was used as the perspective to explore the rationale for the complex and dynamic reported consumer behaviour.

A customer's experience with an e-commerce environment extends beyond the interaction with the website, including delivery of products, post-sales support, consumption of products and services, and so on. It is the total customer experience that influences the customers' perceptions of value and service quality, and which consequently affects customer loyalty. In our cross-disciplinary research in human-computer interaction (HCI) and relationship marketing, we have been investigating how HCI and customer relationship management (CRM) strategies can be integrated in the design of e-commerce so as to engender customer retention, trust and loyalty. We have performed a series of empirical studies to understand customers' requirements and perceptions about service-quality from e-shopping and e-travel environments. From these studies, we have developed an empirically-grounded evaluation instrument, E-SEQUAL, which we discuss in this paper. The development team can apply it at different phases of an e-commerce development life-cycle to integrate customers' perceived dimensions of service quality into the design and evaluation of e-commerce.

In this paper we present a process model for developing usable cross-cultural websites. Compatible with ISO 13407, the process model documents an abstraction of the design process focusing on cultural issues in development. It provides a framework in which a variety of user-based and expert-based techniques for analysis and design are placed within the life-cycle of website development. In developing the model, we relate practical approaches to design with theories and models of culture and discuss the relevance of such theories to the practical design process. In particular we focus on four key concerns: how an audit of local website attractors can inform the design process; the concept of a cultural fingerprint to contrast websites with the cultural needs of local users; the problems associated with user evaluation; and cross-cultural team development. We then show their relation to our process model. We conclude by summarising our contribution to date within the field.

This paper reports a method of assessing the implications for human error on system requirements, a topic not usually considered during requirements engineering (RE). In our previous work, we proposed a taxonomy of influencing factors that might contribute to human error. This paper takes the taxonomy and elaborates it to suggest generic requirements to deal with problems in different layers of the taxonomy. Components of the taxonomy are combined into a causal model for error, represented as a Bayesian Belief Net (BBN). BBNs model the error influences arising from user knowledge, ability and the task environment. These are combined with factors describing the complexity of action and user interface quality in scenarios of projected system usage. The BBN model predicts probabilities of slips and mistakes. These are assessed according to action types in the scenario to suggest generic requirements to prevent the error or to deal with its consequences.

Scenarios, in most situations, are descriptions of required interactions between a desired system and its environment, which detail normative system behaviour. Our studies of current scenario use in requirements engineering have revealed that there is considerable interest in the use of scenarios for acquisition, elaboration and validation of system requirements. However, scenarios have seldom been used to study inappropriate or exceptional system behaviour. To account for non-normative or undesired system behaviour, it is vital to predict (‘what can go wrong’) and explore the existence or occurrence of ‘exceptions’ in a scenario when the system System, here, is not just a pure software system but is a socio-technical system which has social technical and organisation dimensions with the user as an integral part of the system. In this article, we present a prototype software tool called CREWS–SAVRE for systematic scenario generation and use. We describe the innovative features of the tool and demonstrate them with an example of tool’s use. Further, we have identified three kinds of exceptions: generic, permutation and problem exceptions, and have derived complex taxonomies of problem exceptions. We have populated SAVRE with the taxonomies of generic, permutation and problem exceptions. The exceptions can be chosen by the requirements engineer to include them in the generated scenarios to explore the correctness and completeness of requirements. In addition, the taxonomies of problem exceptions can also serve as checklists and help a requirements engineer to predict non-normative system behaviour in a scenario.

We describe a method of assessing the implications for human error on user interface design of safety-critical systems. In previous work we have proposed a taxonomy of influencing factors that contribute to error. In this article, components of the taxonomy are combined into a mathematical and causal model for error, represented as a Bayesian Belief Net (BBN). The BBN quantifies error influences arising from user knowledge, ability, and the task environ-ment, combined with factors describing the complexity of user action and user interface quality. The BBN model predicts probabilities of different types of errorslips and mistakes for each component action of a task involving user-system interaction. We propose an Impact Analysis Method that involves running test scenarios against this causal model of error in order to determine user interactions that are prone to different types of error. Applying the proposed method will enable the designer to determine the combinations of influencing factors and their interactions that are most likely to influence human error. Finally we show how such scenario-based causal analysis can be useful as a means of focusing on relevant guidelines for safe user interface design. The proposed method is demonstrated through a case study of an operator performing a task using the control system for a laser spectrophotometer.We describe a method of assessing the implications for human error on user interface design of safety-critical systems. In previous work we have proposed a taxonomy of influencing factors that contribute to error. In this article, components of the taxonomy are combined into a mathematical and causal model for error, represented as a Bayesian Belief Net (BBN). The BBN quantifies error influences arising from user knowledge, ability, and the task environ-ment, combined with factors describing the complexity of user action and user interface quality. The BBN model predicts probabilities of different types of errorslip for each component action of a task involving user-system interaction. We propose an Impact Analysis Method that involves running test scenarios against this causal model of error in order to determine user interactions that are prone to different types of error. Applying the proposed method will enable the designer to determine the combinations of influencing factors and their interactions that are most likely to influence human error. Finally we show how such scenario-based causal analysis can be useful as a means of focusing on relevant guidelines for safe user interface design. The proposed method is demonstrated through a case study of an operator performing a task using the control system for a laser spectrophotometer.

Scenarios have been advocated as a means of improving requirements engineering yet few methods or tools exist to support scenario based RE. The paper reports a method and software assistant tool for scenario based RE that integrates with use case approaches to object oriented development. The method and operation of the tool are illustrated with a financial system case study. Scenarios are used to represent paths of possible behavior through a use case, and these are investigated to elaborate requirements. The method commences by acquisition and modeling of a use case. The use case is then compared with a library of abstract models that represent different application classes. Each model is associated with a set of generic requirements for its class, hence, by identifying the class(es) to which the use case belongs, generic requirements can be reused. Scenario paths are automatically generated from use cases, then exception types are applied to normal event sequences to suggest possible abnormal events resulting from human error. Generic requirements are also attached to exceptions to suggest possible ways of dealing with human error and other types of system failure. Scenarios are validated by rule based frames which detect problematic event patterns. The tool suggests appropriate generic requirements to deal with the problems encountered. The paper concludes with a review of related work and a discussion of the prospects for scenario based RE methods and tools.