Proceedings of the 15th International Conference on Advances in Mobile Computing &Amp; Multimedia - MoMM2017 2017
DOI: 10.1145/3151848.3151874
|View full text |Cite
|
Sign up to set email alerts
|

Phases and Success Criteria of Collaboration in the Ubiquity Era

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 12 publications
0
1
0
Order By: Relevance
“…Thus, many important collaborative information cues (facial expressions, body language, spatial references, and more) are no longer available. However, enabling multiple users to collaboratively explore and interpret data is often desired: (1) the analysis of large datasets requires a broad expertise, unfeasible to be covered by a single analyst [28,56]; (2) collaboration is more effective than working alone [6], arguably because it is anchored within the human nature [42]; (3) besides perceptual and cognitive processes, visual analysis and decision making also involves social processes, such as analysts debating about the interpretation of data, providing individual and contextual knowledge [6,26]. Consequently, more research is needed to address such multi-disciplinary challenges in the area of collaborative IA to bridge the gap between user-centered experiences and collaborative data analysis.…”
Section: Research Challengesmentioning
confidence: 99%
“…Thus, many important collaborative information cues (facial expressions, body language, spatial references, and more) are no longer available. However, enabling multiple users to collaboratively explore and interpret data is often desired: (1) the analysis of large datasets requires a broad expertise, unfeasible to be covered by a single analyst [28,56]; (2) collaboration is more effective than working alone [6], arguably because it is anchored within the human nature [42]; (3) besides perceptual and cognitive processes, visual analysis and decision making also involves social processes, such as analysts debating about the interpretation of data, providing individual and contextual knowledge [6,26]. Consequently, more research is needed to address such multi-disciplinary challenges in the area of collaborative IA to bridge the gap between user-centered experiences and collaborative data analysis.…”
Section: Research Challengesmentioning
confidence: 99%