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Usability and Digital Analytics

People

Marchiori E.

Course director

Garbani-Nerini E.

Assistant

Description

Course Objectives

As future managers, you will be required:

  • to fruitfully interact with ICT experts;
  • to design and evaluate ICT projects;
  • to manage available ICT assets (people, technologies, other resources) in the most effective and efficient way.

This course covers:

  • usability
  • usages analysis / digital analytics

Course Description

The course deals with the relationship between hypermedia products (e.g.: websites, mobile apps) and their users, analyzing effectiveness/efficiency/user satisfaction: usability, as well as actual usages: digital analytics. Usability will be approached taking into account both expert inspections as well as user testing, dealing in particular with such tools as heuristics and user scenarios. Also, eye-tracking techniques will be presented and discussed. Digital analytics will consider several online communication outlets and inputs ranging from websites, mobile apps, social media, videos, newsletters, voice recognition to others biometrics.The course will also present a holistic model, encompassing both usability and analytics, called UsERA, and based on Austin’s model of communication.

Learning Methods

Lectures

Attendance

Attendance is not compulsory but strongly encouraged.

Evaluation procedures and Grading criteria

The assessment will be undertaken in a form of individual project (30%) and a written exam (70%).

Required Reading Materials

  • TardiniS., Adukaite A., Cantoni L. (2013).How to do Things with Websites. Reconsidering Austin’sPerlocutionaryAct in Online Communication. Semiotica: Journal of the International Association for Semiotic Studies.
  • Inversini, A., Cantoni, L., Bolchini, D. (2010).PresentingUsERA: User Experience Risk Assessment Model, in U. Gretzel, R. Law & M. Fuchs (eds.), Information and Communication Technologies in Tourism. Springer, Wien – New York 2010, pp. 99-110
  • Marchiori, E., Niforatos, E., Preto, L. (2018).Analysis of users’ heart rate data and self-reported perceptions to understand effective virtual reality characteristics. Journal of Information Technology & Tourism
  • Marchiori E., Cantoni L. (2020) The Relevance of Eye-Tracking to Understand Users’ Practices and Content Interpretation in Tourism-Related Online Navigation. In: Rainoldi M., Jooss M. (eds) Eye Tracking in Tourism. Tourism on theVerge. Springer

Education