Casebook: A Cloud-Based System of Engagement for Case Management

Motahari-Nezhad, Hamid Reza; Spence, Susan; Bartolini, Claudio; Graupner, Sven; Bess, C.; Hickey, Marianne; Joshi, Parag; Mirizzi, Roberto; Ozonat, Kivanc; Rahmouni, Mohieddine

doi:10.1109/mic.2013.58

Cited by 8 publications

(2 citation statements)

References 5 publications

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“…As a result, it satisfies R3 only partially. The approach meets R4, as one can associate activity resources and remove old ones during [38], [39] concepts follow a similar approach to activity-centric computing. Cases in the ACM, analogous to activities in the ACC, can be started without predefining any business logic.…”

Section: Literature Review and Evaluation Of Related Workmentioning

confidence: 99%

Informal Process Essentials

Sungur

Binz

Breitenbücher

et al. 2014

2014 IEEE 18th International Enterprise Distributed Object Computing Conference

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Human-centric processes are part of most organizations and their execution steps are typically not known initially. Consequently, standard business process modeling approaches are not suitable for modeling informal processes because they typically concentrate on the explicit modeling of the execution steps. In this work, we analyze properties of informal processes and requirements for supporting their correct enactment. We review existing approaches and evaluate their suitability in terms of modeling informal processes. Based on these results, we present a resource-centric approach by employing the concept of Informal Process Essentials which is used to create executable informal process models with dynamically changing interrelated resources.

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Section: Literature Review and Evaluation Of Related Workmentioning

confidence: 99%

Informal Process Essentials

Sungur

Binz

Breitenbücher

et al. 2014

2014 IEEE 18th International Enterprise Distributed Object Computing Conference

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“…People-driven service engagements involve how people interact to carry out collaborative business processes [6,7]. Such business processes involve human judgment and decision-making [13]. Trust is a crucial element of achieving secure collaboration where people interact since it enhances the quality of a collaboration.…”

Section: Introductionmentioning

confidence: 99%

TRACE: A Dynamic Model of Trust for People-Driven Service Engagements

Kalia

Murukannaiah

Singh

2015

Service-Oriented Computing

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Trust is an important element of achieving secure collaboration that deals with human judgment and decision making. We consider trust as it arises in and influences people-driven service engagements. Existing approaches for estimating trust between people suffer from two important limitations. One, they consider only commitment as the primary means of estimating trust and omit additional significant factors, especially risk and emotions. Two, they typically estimate trust based either on fixed parameter models that require manual setting of parameters or based on Hidden Markov Models (HMM), which assume conditional independence and are thus ill-suited to capturing complex relationships between trust, risk, commitments, and emotions.We propose TRACE, a model based on Conditional Random Fields (CRF) that predicts trust from risk, commitments, and emotions. TRACE does not require manual parameter tuning and relaxes conditional independence assumptions among input variables. We evaluate TRACE on a dataset collected by the Intelligence Advanced Research Projects Activity (IARPA) in a human-subject study. We find that TRACE outperforms existing trust-estimation approaches and that incorporating risk, commitments, and emotions yields lower trust prediction error than incorporating commitments alone.

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