Computer Engineering Commons^™

Alexa, Ask My Library: How Do I Build A Custom Skill To Extend Reference Services?, Christopher M. Jimenez

Works of the FIU Libraries

The Reference Technology team at Florida International University recently published an Alexa Skill that incorporates the LibAnswers API into the device’s answer bank. We have several Echo Show devices at our public service desks to meet the demands of extended hours while also enhancing public service presence beyond the reference desk.

The Green Library at FIU’s Modesto Maidique Campus now operates on a 24/5 schedule, allowing students to access library facilities at any time during the week. In addition, both the Hubert Library and the Engineering Library Service Center stay open past times when personal reference assistance is available. This …

Client-Vendor Collaboration In Information Technology Development Projects And Its Emerging Outcomes, Mingyu Zhang

FIU Electronic Theses and Dissertations

This study investigates the key dimensions of IT project collaboration and its outcomes. We conceptualized key dimensions of client-vendor collaboration, and its emerging outcomes based on literature reviews. Then, we proposed a new research framework that links IT development processes to IT project client-vendor collaboration which in turn affects the outcomes of IT project. We examined the key dimensions of IT project collaboration and their impacts on project outcomes. We identified four critical IT development processes and technologies that contribute to the development of project collaboration. Our results include: (1) Coordination practices and technologies (such as communication quality and coordination …

Quality Of Experience Evaluation Of Voice Communication: An Affect-Based Approach, Abhishek Bhattacharya, Wanmin Wu, Zhenya Wang

School of Computing and Information Sciences

Voice communication systems such as Voice-over IP (VoIP), Public Switched Telephone Networks, and Mobile Telephone Networks, are an integral means of human tele-interaction. These systems pose distinctive challenges due to their unique characteristics such as low volume, burstiness and stringent delay/loss requirements across heterogeneous underlying network technologies. Effective quality evaluation methodologies are important for system development and refinement, particularly by adopting user feedback based measurement. Presently, most of the evaluation models are system-centric (Quality of Service or QoS-based), which questioned us to explore a user-centric (Quality of Experience or QoE-based) approach as a step towards the human-centric paradigm of system …