TY - GEN
T1 - QFami
T2 - 23rd International Conference on Human-Computer Interaction, HCII 2021
AU - Hu, Xiangyuan
AU - Konomi, Shin’ichi
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - With the development of the Internet, people increasingly use search engines to obtain the answers for their questions and quench their thirst for knowledge. Although search engines often provide some information quickly, they can fail to provide what people really need. Despite the ubiquitous availability of search engines, people ask questions to other people to seek valuable local information and enrich social experiences. Existing social applications such as Stack Overflow [1] and other Community Question Answering systems allow people to exchange knowledge efficiently. However, they mainly consider the expertise to recommend answerers, which would not be sufficient for supporting Q&A activities in real-world environments. In this work, we propose QFami, a novel integrated Q&A environment for physically-based Q&A scenarios on campus, QFami incorporates the interest expertise, proximity, locations, and other contextual factors that can be inferred by using various sensors on mobile phones.
AB - With the development of the Internet, people increasingly use search engines to obtain the answers for their questions and quench their thirst for knowledge. Although search engines often provide some information quickly, they can fail to provide what people really need. Despite the ubiquitous availability of search engines, people ask questions to other people to seek valuable local information and enrich social experiences. Existing social applications such as Stack Overflow [1] and other Community Question Answering systems allow people to exchange knowledge efficiently. However, they mainly consider the expertise to recommend answerers, which would not be sufficient for supporting Q&A activities in real-world environments. In this work, we propose QFami, a novel integrated Q&A environment for physically-based Q&A scenarios on campus, QFami incorporates the interest expertise, proximity, locations, and other contextual factors that can be inferred by using various sensors on mobile phones.
UR - http://www.scopus.com/inward/record.url?scp=85119855874&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119855874&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-90176-9_17
DO - 10.1007/978-3-030-90176-9_17
M3 - Conference contribution
AN - SCOPUS:85119855874
SN - 9783030901752
T3 - Communications in Computer and Information Science
SP - 119
EP - 125
BT - HCI International 2021 - Late Breaking Posters - 23rd HCI International Conference, HCII 2021, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 July 2021 through 29 July 2021
ER -