scholarly journals The integration of the Q-method as an alternative validation tool for Design Science Research Study

2020 ◽  
Author(s):  
Irawan Nurhas
Keyword(s):  
System Design ◽  
Q Methodology ◽  
Research Study ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
User Preferences ◽  
Human Centered Design ◽  
Concurrent Validation ◽  
Validation Tool

Advances in human-centered design require researchers to integrate user preferences into system design. Therefore, we propose to support the concurrent validation of design science research by using the Q-methodology.

Knowledge recommendation for workplace learning: a system design and evaluation perspective

2019 ◽  
Vol 30 (1) ◽  
pp. 243-261
Author(s):  
Shuang Geng ◽  
Lijing Tan ◽  
Ben Niu ◽  
Yuanyue Feng ◽  
Li Chen
Keyword(s):  
System Design ◽  
Learning Strategies ◽  
Workplace Learning ◽  
Design Science ◽  
Science Research ◽  
User Preferences ◽  
Perceived Usefulness ◽  
Research Approach ◽  
Content Type ◽  
Knowledge Service

Purpose Although digitalization in the workplace is burgeoning, tools are needed to facilitate personalized learning in informal learning settings. Existing knowledge recommendation techniques do not account for dynamic and task-oriented user preferences. The purpose of this paper is to propose a new design of a knowledge recommender system (RS) to fill this research gap and provide guidance for practitioners on how to enhance the effectiveness of workplace learning. Design/methodology/approach This study employs the design science research approach. A novel hybrid knowledge recommendation technique is proposed. An experiment was carried out in a case company to demonstrate the effectiveness of the proposed system design. Quantitative data were collected to investigate the influence of personalized knowledge service on users’ learning attitude. Findings The proposed personalized knowledge RS obtained satisfactory user feedback. The results also show that providing personalized knowledge service can positively influence users’ perceived usefulness of learning. Practical implications This research highlights the importance of providing digital support for workplace learners. The proposed new knowledge recommendation technique would be useful for practitioners and developers to harness information technology to facilitate workplace learning and effect organization learning strategies. Originality/value This study expands the scope of research on RS and workplace learning. This research also draws scholarly attention to the effective utilization of digital techniques, such as a RS, to support user decision making in the workplace.

scholarly journals Human-Centered Design Science Research Evaluation for Gamified Augmented Reality

2021 ◽  
Vol 2 ◽  
Author(s):  
Nikolche Vasilevski ◽  
James Birt
Keyword(s):  
Augmented Reality ◽  
Mixed Reality ◽  
Research Evaluation ◽  
Design Science ◽  
Evaluation Process ◽  
Science Research ◽  
Design Science Research ◽  
Location Based Services ◽  
Human Centered Design ◽  
Evaluation Activity

As augmented reality (AR) and gamification design artifacts for education proliferate in the mobile and wearable device market, multiple frameworks have been developed to implement AR and gamification. However, there is currently no explicit guidance on designing and conducting a human-centered evaluation activity beyond suggesting possible methods that could be used for evaluation. This study focuses on human-centered design evaluation pattern for gamified AR using Design Science Research Methodology (DSRM) to support educators and developers in constructing immersive AR games. Specifically, we present an evaluation pattern for a location-based educational indigenous experience that can be used as a case study to support the design of augmented (or mixed) reality interfaces, gamification implementations, and location-based services. This is achieved through the evaluation of three design iterations obtained in the development cycle of the solution. The holistic analysis of all iterations showed that the evaluation process could be reused, evolved, and its complexity reduced. Furthermore, the pattern is compatible with formative and summative evaluation and the technical or human-oriented types of evaluation. This approach provides a method to inform the evaluation of gamified AR apps. At the same time, it will enable a more approachable evaluation process to support educators, designers, and developers.

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