This study investigated the determinants of public sector managers' intentions to adopt artificial intelligence (AI) systems within their organizations. An extended technology acceptance model (TAM) was developed, incorporating additional constructs including fairness, humanity, reliability, safety, transparency, accountability, privacy, security, trust, social norms, tolerance, impact, and isomorphic pressure. A survey was conducted among 330 public sector managers, and the data were analyzed using linear regression tests to evaluate the model. The results showed significant positive influences of both perceived usefulness and perceived impact on managers' attitudes and behavioral intentions toward AI adoption. Isomorphic pressure was also a significant determinant of managers' behavioral intentions toward adopting AI systems. Our findings also indicated that perceptions related to AI ethical principles, such as transparency, privacy, and security, influenced managers' trust in AI systems.

The Hajj pilgrimage is one of the largest annual events in the world. Each year, millions of Muslims visit the holy sites in Makkah. While Hajj mobile applications that help pilgrims perform Hajj activities efficiently are gaining popularity, little has been done to investigate pilgrims’ needs and their experiences of these applications. During the 2017 Hajj season, we conducted a study to investigate the needs and experiences of Hajj mobile service users. We used a questionnaire to investigate the need for 20 Hajj mobile features and found that maps (particularly offline maps) were the most needed feature. We also interviewed 16 pilgrims to investigate user experience (UX) of Hajj mobile applications. Three major themes emerged from our qualitative analysis of the perceptions reported by our participants: UX problems with the current mobile applications, the importance level of application features, and opportunities for improving the UX of applications. We relate these themes to specific implications for designing a better UX of mobile applications used for Hajj and its related domain (religion) and to applications for use in similar contexts (e.g., crowd and movement situations).

It is becoming common for several devices to be utilised together to access and manipulate shared information spaces and migrate tasks between devices. Despite the increased worldwide use of cross-platform services, there is limited research into how cross-platform service usability can be assessed. This paper presents a novel cross-platform usability model. The model employs the think-aloud protocol, observations, and questionnaires to reveal cross-platform usability problems. Two Likert scales were developed for measuring overall user satisfaction of cross-platform usability and user satisfaction with the seamlessness of the transition between one device and another. The paper further employs a series of objective measures for the proposed model. The viability and performance of the model were examined in the context of evaluating three cross-platform services across three devices. The results demonstrate that the model is a valuable method for assessing and quantifying cross-platform usability. The findings were thoroughly analysed and discussed, and subsequently used to refine the model. The model was also evaluated by eight user experience experts and seven out of the eight agreed that it is useful.

Many interactive systems can be accessed across a range of different platforms, enabling cross-platform services and allowing users to migrate their tasks from one platform to another. The aim of this study is to investigate the culture-related experiential side of using multiple interactive systems across platforms by studying users from different cultural backgrounds. In this paper, we present our findings from a user study of five cross-platform services. We conducted the user study in Australia and Saudi Arabia. Participants in Australia and Saudi Arabia interacted with English and Arabic versions of the services respectively. We used think-aloud protocol, observation and questionnaires to gather data. During our experiments, each participant performed a set of inter-related tasks using a cross-platform service across two devices: laptop and mobile phone. We identified five objective cultural factors (direction, translation, meaning of icons, formatting, and typing interface) that influence cross-platform user experience. The power distance and uncertainty avoidance subjective cultural dimensions also influenced user perception of cross-platform services. Based on our findings and analyses, we propose a design model that encompasses these cultural factors to guide designing international cross-platform services.