Content

Human-Computer Interaction uses a variety of methods that build upon different related fields of inquiry. As PhD and master’s students have a wide array of methodologies at their disposal, choosing the right method and using it effectively is challenge.  Concurrently, students wishing to pursue a career in HCI come from a variety of backgrounds and are usually experienced in using only a subset of the methods. In particular Eastern European computer science curricula focus more on theoretical and formal methods and feature less constructive and empirical work. The primary aim of this summer school is to provide a comprehensive overview of methods in HCI thus providing students with an awareness of the multitude of valid methodological approaches in the field and practical experience of using these methods.

A secondary goal is to solidify and grow the relatively small Eastern-European HCI community. The summer school will include a series of introductory lectures and extensive practical assignments where students will build and evaluate interactive systems. Established lecturers from the CHI community will first introduce theoretical concepts in the morning and practical sessions will start before lunch, thus focusing on practical applications of the methods. The following methods will be addressed:

Constructive and creative methods:

Paper prototyping: horizontal and vertical prototyping, advantages of lo-fi prototypes, building desktop, mobile and physical interface prototypes

Functional physical prototypes: advantages of high-fi prototypes and physical computing, hands-on introduction to Arduino, using multiple sensors to prototypes novel interaction concepts, data logging

Sketching and storyboarding: sketching methods followed by a practical session on illustrating user scenarios and developing a storyboard

Evaluation methods:

Quantitative methods: advantages and limitations of controlled experiments, introduction to statistical methods ,creating a study design document for a quantitative study, running the experiment within the student group.

Qualitative methods: ethnomethodology, data collection methods, introduction to qualitative analysis, affinity diagramming, study design for a design empathy study.

Mixed-method and in-the wild studies: designing an in-the-wild study and combining data collected from different sources, hands-on work on designing the study, conducting an observation in the urban space of Łódź.