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Identifying Root Ca...
Identifying Root Cause and Derived Effects in Causal Relationships
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- Bae, Juhee (författare)
- Högskolan i Skövde,Institutionen för informationsteknologi,Forskningscentrum för Informationsteknologi,University of Skövde,Skövde Artificial Intelligence Lab (SAIL)
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- Helldin, Tove (författare)
- Högskolan i Skövde,Institutionen för informationsteknologi,Forskningscentrum för Informationsteknologi,University of Skövde,Skövde Artificial Intelligence Lab (SAIL)
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- Riveiro, Maria, 1978- (författare)
- Högskolan i Skövde,Institutionen för informationsteknologi,Forskningscentrum för Informationsteknologi,University of Skövde,Skövde Artificial Intelligence Lab (SAIL)
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(creator_code:org_t)
- 2017-05-18
- 2017
- Engelska.
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Ingår i: Human Interface and the Management of Information: Information, Knowledge and Interaction Design. - Cham : Springer. - 9783319585208 - 9783319585215 ; , s. 22-34
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This paper focuses on identifying factors that influence the process of finding a root cause and a derived effect in causal node-link graphs with associated strength and significance depictions. We discuss in detail the factors that seem to be involved in identifying a global cause and effect based on the analysis of the results of an online user study with 44 participants, who used both sequential and non-sequential graph layouts. In summary, the results show that participants show geodesic-path tendencies when selecting causes and derived effects, and that context matters, i.e., participant’s own beliefs, experiences and knowledge might influence graph interpretation.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- cause and effect
- strenght and significance
- graph visualization
- user study
- Skövde Artificial Intelligence Lab (SAIL)
- Skövde Artificial Intelligence Lab (SAIL)
- INF301 Data Science
- INF301 Data Science
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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