Elicitation Techniques for Internet of Things Applications Requirements

Lim, Tek-Yong; Chua, Fang-Fang; Tajuddin, Bushra Binti

doi:10.1145/3301326.3301360

Cited by 20 publications

(25 citation statements)

References 16 publications

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“…The use of multiple workshops to test the dashboards, to assess which indicators are useful and if the total dashboard is still a good overview, helps with the selection of information. Prototyping (see Section 2.2) is thus found to be a suitable method for the purpose of this research, as suggested by [24][25][26].…”

Section: Discussionmentioning

confidence: 99%

“…The first step of requirements analysis is requirements elicitation, which concerns itself with gathering and organising information requirements from stakeholders [24]. The use of prototyping (in our case, dashboard design) is a common method to achieve this [24,25].…”

Section: Dashboards and Dashboard Designmentioning

confidence: 99%

“…Other methods to elicit requirements are traditional techniques, e.g., surveys and interviews, group techniques, e.g., brainstorms and focus groups, or contextual and cognitive techniques [24,25]. Tuunanen et al [24] review these techniques in order to find a method that (1) has the possibility to reach a wide range of users, i.e., a community, and (2) has two-directional communication, allowing for interaction and understanding of the users.…”

Section: Dashboards and Dashboard Designmentioning

confidence: 99%

“…In this research, the intended users of the dashboards are a small, homogeneous group; hence, its development does not have to involve many users. Furthermore, the real-time communication by IoT devices distributed in an environment affects the way users interact with it [25,26], which is another reason to use more interactive, two-directional elicitation methods such as prototyping and iterative design [26].…”

Section: Dashboards and Dashboard Designmentioning

confidence: 99%

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Towards Smart Campus Management: Defining Information Requirements for Decision Making through Dashboard Design

et al. 2021

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At universities worldwide, the notion of a ‘smart campus’ is becoming increasingly appealing as a response to the multitude of challenges that impact campus development and operation. Smart campus tools are widely used to support students and employees, optimise space use and save energy. Although smart campus tools are supposed to support campus managers in their decision-making processes, the use of the information delivered by smart campus tools and their application in organisational processes has received little attention. In this paper, we focus on the use of dashboards in the connection of IoT information to strategic decision-making processes in the management of university campuses. To this end, we developed a briefing approach for dashboards that expresses the needs of campus management and matches the structure of decision-making processes. In two cases, dashboards based on this approach were use-tested by stakeholders for defining information requirements for IoT applications. The results suggest that users are able to use dashboards for assessing portfolio performance and determining interventions. Through iteration the usability of the dashboard is improved and information requirements are refined, resulting in a brief for a campus management dashboard. The results suggest that the briefing approach can be used to determine IoT information requirements, though further research is required to study indications and contra-indications of the proposed method.

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Section: Discussionmentioning

confidence: 99%

Section: Dashboards and Dashboard Designmentioning

confidence: 99%

Section: Dashboards and Dashboard Designmentioning

confidence: 99%

Section: Dashboards and Dashboard Designmentioning

confidence: 99%

See 2 more Smart Citations

Towards Smart Campus Management: Defining Information Requirements for Decision Making through Dashboard Design

et al. 2021

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“…First, the terms of information collection consist of Proximity to Use (PTU), Effort Per User (EPU) and Required Skills (SKI). Second, the quality of feedback information consists of Structure (STR), Richness (RIC) and Quantifiability (QUA) [21][22]. Based on Figure 1, the following are the steps in the method from previous research [24]: 1.…”

Section: Charateristics Of Requirements Elicitationmentioning

confidence: 99%

Comparison Elicitation Techniques in Furniture Manufacture Requirement

2021

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The development of the industrial revolution 4.0 in manufacturing has changed conventional business processes to become automated, especially in the furniture sector. The constraints faced by the furniture manufacturing industry are that producers do not have a reporting tool that estimates how many products to sell, goods produced do not match their needs and stock errors. Therefore, the process of extracting needs is an important phase in the development of information systems because it determines the final outcome of the program. The research aims to define system requirements, so that it can help the decision-making process based on real-time data. This study describes the use of system planning techniques in the form of collaborative techniques, observational techniques and contextual techniques, which are combined with the Wellsandt evaluation criteria and measured using the low, medium and high scales. The results of this study are the acquisition of any business process areas that have a high level of difficulty to be prioritized and described in the form of a spider diagram. Implication of this research is that requirements can be used by developers to prioritize areas of business processes that must be improved in making decision support systems.

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