TY - GEN
T1 - Collaboration Spotting X - A Visual Network Exploration Tool
AU - Bobic, Aleksandar
AU - Le Goff, Jean-Marie
AU - Gütl, Christian
PY - 2021
Y1 - 2021
N2 - Due to many technological advancements, the amount of connected data drastically increased in the last decade. The analysis of this data and the insights it generates show great potential for supporting decision making processes in various industries and aspects of our lives. Multiple visual analytics solutions have been proposed to gain further insights into such data and gain explainable results. However, the majority of existing solutions are either closed sourced, not available or no longer developed. To mitigate the issues above and based on findings from expert interviews conducted using an existing tool, this paper introduces Collaboration Spotting X, a new network-based interactive visual analytics and information retrieval tool prototype. This prototype enables users to explore connected network datasets such as social network data and bibliometric data using multiple visual cues and interactions. Furthermore, to gain an insight into how this prototype is perceived by users and identify further improvements, a preliminary study with a class of 37 computer science graduate students is described. The study findings show that the students perceive Collaboration Spotting X as a useful tool that helps them complete tasks through visualisation and interaction. Additionally, multiple aspects were identified that might have caused users to experience in addition to positive emotions also some negative emotions during usage. These aspects might have also contributed to a lower usability score. Finally, multiple improvement directions have been identified, which will be implemented in future developments.
AB - Due to many technological advancements, the amount of connected data drastically increased in the last decade. The analysis of this data and the insights it generates show great potential for supporting decision making processes in various industries and aspects of our lives. Multiple visual analytics solutions have been proposed to gain further insights into such data and gain explainable results. However, the majority of existing solutions are either closed sourced, not available or no longer developed. To mitigate the issues above and based on findings from expert interviews conducted using an existing tool, this paper introduces Collaboration Spotting X, a new network-based interactive visual analytics and information retrieval tool prototype. This prototype enables users to explore connected network datasets such as social network data and bibliometric data using multiple visual cues and interactions. Furthermore, to gain an insight into how this prototype is perceived by users and identify further improvements, a preliminary study with a class of 37 computer science graduate students is described. The study findings show that the students perceive Collaboration Spotting X as a useful tool that helps them complete tasks through visualisation and interaction. Additionally, multiple aspects were identified that might have caused users to experience in addition to positive emotions also some negative emotions during usage. These aspects might have also contributed to a lower usability score. Finally, multiple improvement directions have been identified, which will be implemented in future developments.
KW - Information Retrieval
KW - Network Visualisation
KW - Social Network Visualisation
KW - Visual Analytics
KW - Visual Analytics Tool
KW - Visual Network An-alytics Tool
KW - Visual Network Analytics
UR - http://www.scopus.com/inward/record.url?scp=85127399093&partnerID=8YFLogxK
U2 - 10.1109/SNAMS53716.2021.9732139
DO - 10.1109/SNAMS53716.2021.9732139
M3 - Conference paper
T3 - 2021 8th International Conference on Social Network Analysis, Management and Security, SNAMS 2021
BT - 2021 8th International Conference on Social Network Analysis, Management and Security, SNAMS 2021
A2 - Guetl, Christian
A2 - Ceravolo, Paolo
A2 - Jararweh, Yaser
A2 - Benkhelifa, Elhadj
A2 - Adedugbe, Oluwasegun
T2 - 8th International Conference on Social Networks Analysis, Management and Security
Y2 - 6 December 2021 through 9 December 2021
ER -