Name
Abstract | ||
|---|---|---|
Audience feedback is a valuable asset in many domains such as arts, education, and marketing. Artists can receive feedback on the experiences created through their performances. Similarly, teachers can receive feedback from students on the understandability of their course content. There are various methods to collect explicit feedback (e.g., questionnaires) - yet they usually impose a burden to the audience. Advances in physiological sensing opens up opportunities for collecting feedback implicitly. This creates unexplored dimensions in the design space of audience sensing. In this work, we chart a comprehensive design space for audience sensing based on a literature and market review which aims to support the designers' process for creating novel feedback systems.
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Year | Venue | Field |
|---|---|---|
2018 | CHI Extended Abstracts | Design space,Computer science,Human–computer interaction,Chart,Affective computing,The arts,Multimedia |
DocType | ISBN | Citations |
Conference | 978-1-4503-5621-3 | 0 |
PageRank | References | Authors |
0.34 | 20 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mariam Hassib | 1 | 91 | 12.33 |
| Stefan Schneegass | 2 | 506 | 60.71 |
| Niels Henze | 3 | 1262 | 108.47 |
| Albrecht Schmidt | 4 | 6495 | 696.81 |
| Florian Alt | 5 | 1552 | 119.24 |