Search results

Smart eyewear, such as augmented or virtual reality headset, allows the projection of virtual content through a display worn on the user’s head. This paper aims to present a mobile platform, named “CARTON”, which transforms a smartphone into smart eyewear, following a do-it-yourself (DIY) approach. This platform is composed of three main components: a blueprint to build the hardware prototype with very simple materials and regular tools; a software development kit (SDK) to help with the development of new applications (e.g. augmented reality app); and, finally, a second SDK (ControlWear) to interact with mobile applications through a Smartwatch.

User experiments were conducted, in which participants were asked to create, by themselves, the CARTON’s hardware part and perform usability tests with their own creation. A second round of experimentation was conducted to evaluate three different interaction modalities.

Qualitative user feedback and quantitative results prove that CARTON is functional and feasible to anyone, without specific skills. The results also showed that ControlWear had the most positive results, compared with the other interaction modalities, and that user interaction preference would vary depending on the task.

The authors describe a novel way to create a smart eyewear available for a wide audience around the world. By providing everything open-source and open-hardware, they intend to solve the reachability of technologies related to smart eyewear and aim to accelerate research around it.

The purpose of this paper is to propose a reliable and valid integrative scale for online relationship quality based on both the relationship marketing and electronic commerce literature.

The scale was developed using the approach put forward by Churchill (1979). The scale development and validation process includes a qualitative exploratory phase, three pre-tests and a final study using an online questionnaire (476 members of a consumer panel).

The findings support a third-order integrative model of online relationship quality composed of three dimensions (trust, commitment and satisfaction). The final scale is composed of 21 items.

The study shows a lack of discrimination between satisfaction and trust, which other studies have also found. As the scale is validated in only one sector, online banking, it should be tested and replicated in other contexts (e.g. insurance).

An instrument for assessing the quality of online relationships between banks and consumers is important for marketing professionals who want to determine their relational positioning and focus on those dimensions that promote long-term online relationships. The scale developed here can be used to assess customers’ perceptions of the quality of the relationship with an online financial institution, to segment those customers more effectively, and to improve targeting of marketing strategies and activities.

This study contributes to the enrichment of the body of theory and provides researchers with a tool for the further investigation of the quality of online relationships.