Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 3rd Conference on Conversational User Interfaces, CUI 2021 |
| Herausgeber (Verlag) | Association for Computing Machinery (ACM) |
| Seitenumfang | 5 |
| ISBN (Print) | 9781450389983 |
| Publikationsstatus | Veröffentlicht - 27 Juli 2021 |
| Extern publiziert | Ja |
| Veranstaltung | 3rd Conference on Conversational User Interfaces, CUI 2021 - Virtual, Online, Spanien Dauer: 27 Juli 2021 → 29 Juli 2021 |
Abstract
Many questions of public interest do not have a single answer but come with a set of choices, each of which with its pros and cons. An "objective"information system can help explore the underlying argument space, and, if equipped with a conversational interface, it can create the experience of lively discussions resembling those from our daily lives. However, users will (subconsciously) extend the provided information by assumptions that adhere to their cognitive biases. In this regard, note that biases do not arise only from the underlying data or the employed algorithms, but also from the way the information is presented - especially in audio-only channels. Our paper brings attention to bias-related challenges of conversational interfaces for argument search systems. We identify research questions that address these challenges, and we propose ideas and methods to tackle them.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Informatik (insg.)
- Mensch-Maschine-Interaktion
- Informatik (insg.)
- Maschinelles Sehen und Mustererkennung
- Informatik (insg.)
- Computernetzwerke und -kommunikation
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Proceedings of the 3rd Conference on Conversational User Interfaces, CUI 2021. Association for Computing Machinery (ACM), 2021. 20.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - The Meant, the Said, and the Understood
T2 - 3rd Conference on Conversational User Interfaces, CUI 2021
AU - Kiesel, Johannes
AU - Spina, Damiano
AU - Wachsmuth, Henning
AU - Stein, Benno
N1 - Funding Information: Damiano Spina is the recipient of an Australian Research Council DECRA Research Fellowship (DE200100064).
PY - 2021/7/27
Y1 - 2021/7/27
N2 - Many questions of public interest do not have a single answer but come with a set of choices, each of which with its pros and cons. An "objective"information system can help explore the underlying argument space, and, if equipped with a conversational interface, it can create the experience of lively discussions resembling those from our daily lives. However, users will (subconsciously) extend the provided information by assumptions that adhere to their cognitive biases. In this regard, note that biases do not arise only from the underlying data or the employed algorithms, but also from the way the information is presented - especially in audio-only channels. Our paper brings attention to bias-related challenges of conversational interfaces for argument search systems. We identify research questions that address these challenges, and we propose ideas and methods to tackle them.
AB - Many questions of public interest do not have a single answer but come with a set of choices, each of which with its pros and cons. An "objective"information system can help explore the underlying argument space, and, if equipped with a conversational interface, it can create the experience of lively discussions resembling those from our daily lives. However, users will (subconsciously) extend the provided information by assumptions that adhere to their cognitive biases. In this regard, note that biases do not arise only from the underlying data or the employed algorithms, but also from the way the information is presented - especially in audio-only channels. Our paper brings attention to bias-related challenges of conversational interfaces for argument search systems. We identify research questions that address these challenges, and we propose ideas and methods to tackle them.
KW - argument search
KW - cognitive bias
KW - conversational search
KW - intelligent assistants
KW - selection bias
UR - http://www.scopus.com/inward/record.url?scp=85112313824&partnerID=8YFLogxK
U2 - 10.1145/3469595.3469615
DO - 10.1145/3469595.3469615
M3 - Conference contribution
AN - SCOPUS:85112313824
SN - 9781450389983
BT - Proceedings of the 3rd Conference on Conversational User Interfaces, CUI 2021
PB - Association for Computing Machinery (ACM)
Y2 - 27 July 2021 through 29 July 2021
ER -