The impact of domain knowledge on the effectiveness of requirements idea generation during requirements elicitation

Author(s):  
Ali Niknafs ◽  
Daniel M. Berry
Author(s):  
Shraddha Joshi ◽  
Joshua D. Summers

This paper presents the findings from an empirical designer study conducted with senior design students to understand the impact of requirement elicitation activity on idea generation. The participants were divided in three groups. The experiment conditions were (1) requirements elicitation (given only problem statement), (2) partial elicitation (given problem and five requirements) and (3) no elicitation (given problem and ten requirements). Participants in the first two conditions were challenged with eliciting requirements first. All participants were also asked to generate solutions. Comparing the requirements addressed in the solutions generated by the participants, it is found that the group that was not primed with the task of eliciting requirements performed better in terms of addressing requirements when compared to other two groups. These findings lead to the inference in conceptual design stage that allowing the students to elicit requirements does not have significant potential benefits while addressing the requirements.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18852-e18852
Author(s):  
Basit Iqbal Chaudhry ◽  
Andrew Yue ◽  
Shuchita Kaila ◽  
Kay Sadik ◽  
Lisa Tran ◽  
...  

e18852 Background: Transferring financial risk from payers to providers to align incentives is central to value-based payment (VBP) reform, including Medicare’s Oncology Care Model (OCM). We simulated the impact of selected cancer- and patient-level factors on providers’ risk in OCM for multiple myeloma (MM), due to its clinical complexity. We hypothesize that risk exposure is sensitive to factors extrinsic to the OCM methodology, including clinical phenotype, disease state and progression rate. Methods: Simulation was used to address omitted variable bias in payer data. We developed 9 key clinical MM scenarios to examine provider risk, based on conceptual frameworks that included patient- and cancer-level factors. The model was parameterized using the Medicare limited data set, research literature and domain knowledge. Twenty factors were varied for each model, e.g. age, autologous stem cell transplant (ASCT). Results: Simulations results showed MM risk for providers depended highly on cancer and patient level factors (see table). For example, high-risk patients were on average $21.5K over target while undergoing ASCT (despite risk adjustment for ASCT) and $18-28K under target for follow on maintenance (maint.) episodes. Conclusions: Provider exposure to risk in OCM is highly sensitive to factors at the cancer and patient level. The distribution of clinical phenotypes, state of disease, and rate of disease progression can significantly impact risk exposure for providers in OCM. New methodologies that model risk in more clinically granular ways are needed to improve VBP in oncology. [Table: see text]


2017 ◽  
Author(s):  
Marilena Oita ◽  
Antoine Amarilli ◽  
Pierre Senellart

Deep Web databases, whose content is presented as dynamically-generated Web pages hidden behind forms, have mostly been left unindexed by search engine crawlers. In order to automatically explore this mass of information, many current techniques assume the existence of domain knowledge, which is costly to create and maintain. In this article, we present a new perspective on form understanding and deep Web data acquisition that does not require any domain-specific knowledge. Unlike previous approaches, we do not perform the various steps in the process (e.g., form understanding, record identification, attribute labeling) independently but integrate them to achieve a more complete understanding of deep Web sources. Through information extraction techniques and using the form itself for validation, we reconcile input and output schemas in a labeled graph which is further aligned with a generic ontology. The impact of this alignment is threefold: first, the resulting semantic infrastructure associated with the form can assist Web crawlers when probing the form for content indexing; second, attributes of response pages are labeled by matching known ontology instances, and relations between attributes are uncovered; and third, we enrich the generic ontology with facts from the deep Web.


2018 ◽  
Vol 140 (10) ◽  
Author(s):  
Murtuza Shergadwala ◽  
Ilias Bilionis ◽  
Karthik N. Kannan ◽  
Jitesh H. Panchal

Many decisions within engineering systems design are typically made by humans. These decisions significantly affect the design outcomes and the resources used within design processes. While decision theory is increasingly being used from a normative standpoint to develop computational methods for engineering design, there is still a significant gap in our understanding of how humans make decisions within the design process. Particularly, there is lack of knowledge about how an individual's domain knowledge and framing of the design problem affect information acquisition decisions. To address this gap, the objective of this paper is to quantify the impact of a designer's domain knowledge and problem framing on their information acquisition decisions and the corresponding design outcomes. The objective is achieved by (i) developing a descriptive model of information acquisition decisions, based on an optimal one-step look ahead sequential strategy, utilizing expected improvement maximization, and (ii) using the model in conjunction with a controlled behavioral experiment. The domain knowledge of an individual is measured in the experiment using a concept inventory, whereas the problem framing is controlled as a treatment variable in the experiment. A design optimization problem is framed in two different ways: a domain-specific track design problem and a domain-independent function optimization problem (FOP). The results indicate that when the problem is framed as a domain-specific design task, the design solutions are better and individuals have a better state of knowledge about the problem, as compared to the domain-independent task. The design solutions are found to be better when individuals have a higher knowledge of the domain and they follow the modeled strategy closely.


2020 ◽  
Vol 1 ◽  
pp. 1465-1474
Author(s):  
A. Lecuna Aguerrevere ◽  
J. Alleblas ◽  
R. M. Mueller ◽  
M. Graves ◽  
K. Thoring

AbstractThis paper looks at the positive effects of partial status anonymity in face-to-face co-creation workshops. Results suggest that especially during the early phases of co-creation, i.e. idea generation, participants experience more freedom to express themselves without self-imposed barriers. We observed positive effects in terms of (1) lowering or even suspending the perceived status among team members, (2) increased motivation, (3) freedom to speak and positive disposition to listen, (4) willingness to consider perspectives from other team members.


Author(s):  
Michael C. Ottenbacher ◽  
Robert J. Harrington

The authors report on a survey of small and medium-sized entrepreneurial information technology (IT) firms to investigate the impact of new service development (NSD) process activities on innovation success and failure. Their findings highlight the importance of managing the process to engage customers, management and employees, facilitating innovation champions to aid in idea generation and commitment, effectively communicating the benefits to customers, and using the tacit nature of the process to create barriers to imitation. In general, the findings point to several key elements that impact on successful entrepreneurial IT innovation projects and appear to result from an iterative, flexible and process-linked approach to NSD innovation.


Author(s):  
Manoj Kumar Singh ◽  
Sunil Kumar Yadav ◽  
Bharat Raj Singh

This approach is the complete contrast with the conventional methods of education and entrepreneurship development but requires the candidates to have ICT literacy and interest in self-improvement. Need and urgency of educating large masses can not be under estimated, when the country is poised for rapid growth. However, even after so many years of hard efforts a significant percentage of child population remains uneducated and high dropout rates even at middle and secondary level educations remains a complex problem along with the fact that ICT literacy and education in a wider sense has not taken root. The recent reports dealing with Seelampur (Delhi) UNESCO inspired project on ICT based education have categorically and convincingly demonstrated, that it can be used to unlock the subject understanding capabilities and entrepreneurship idea generation potentials of the participants, not possible through standard education or distance education methods These new ICT based methods rely on collaborate learning, "ICT Literacy" and use the self organization mechanism for understanding or new knowledge creation. The idea and the technology behind this approach through promising have not been fully understood as yet . Therefore, it is proposed to take up activities in this direction at two different levels as a part of the project proposition. To study evolve and promote the mechanism of "Self Organization" in learning through deconstruction of information through ICT literacy based approach on the web and local enrolment , leading to construction of new domain knowledge and development of participants capabilities towards entrepreneurship. To take up the development of tools and technologies for creating the course work based on the ICT literacy approach for the collaborative and interactive learning environment. To evolve methods of localizing the information, and the introduction of local idioms for the education of ethnic linguistic and gender groups.(This is considered important in ICT based approach of education).


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