Studiengänge
| Abschluss |
Studiengang |
Semester |
Leistungspunkte |
| Bachelor |
Medieninformatik (B.Sc.), PV 29
|
-
|
15
|
| Master |
Computer Science and Media (M.Sc.), PV 11
|
-
|
15
|
| Bachelor |
Medieninformatik (B.Sc.), PV 11
|
-
|
15
|
| Master |
Human-Computer Interaction (M.Sc.), PV14
|
-
|
15
|
| Bachelor |
Medieninformatik (B.Sc.), PV 17
|
-
|
15
|
| Bachelor |
Medienkultur (B.A.), PV17
|
-
|
15
|
| Master |
Human-Computer Interaction (M.Sc.), PV17
|
-
|
15
|
| Master |
Human-Computer Interaction (M.Sc.), PV15
|
-
|
15
|
| Master |
Computer Science for Digital Media (M.Sc.), PV 18
|
-
|
15
|
| Master |
Human-Computer Interaction (M.Sc.), PV19
|
-
|
12
|
| Master |
Computer Science for Digital Media (M.Sc.), PV 17
|
-
|
15
|
Inhalt
| Beschreibung |
s. Englische Version |
| engl. Beschreibung/ Kurzkommentar |
Millions of arguments are shared on the web.
Future informationsystems will be able to exploit this valuable knowledge source and to retrieve arguments relevant and convincing to our specific need--all with an interface as intuitive as asking your friend "Why...?". In this project, we want to build such an informationsystem. We will employ the API of our service args.me, which is the world-first argument search engine, in combination with an intuitive voice interface that we implement for Amazon Alexa. The project will extend the basic voice interface that we developed in an earlier project, so that users can explore arguments more naturally.
Furthermore, they should be able to dig deeper through background information from external sources. |
| Bemerkung |
Zeit und Ort werden zur Projektbörse bekannt gegeben.
https://moodle.uni-weimar.de/enrol/index.php?id=21055 |
| Leistungsnachweis |
Abschlusspräsentation und Ausarbeitung |
| Zielgruppe |
B.Sc. Medieninformatik, M.Sc. Medieninformatik, CSM, CS4DM, HCI |
