A design science approach to an HCI research project

Adikari, Sisira; McDonald, Craig; Collings, Penny

doi:10.1145/1228175.1228265

Cited by 8 publications

(9 citation statements)

References 7 publications

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“…Due to the nature of this research, it is fall under IS research domain which is to develop an IT artifacts. The recent trend in IS domain shows that studies are increasingly adopting DSRM that mixed with other methodologies (Adikari et al, 2006;Chen et al, 2007;Fisher, 2007;Valverde, 2008). Therefore, DSRM is chosen to be utilized in conjunction with case studies.…”

Section: B Discussionmentioning

confidence: 99%

A Design Science Approach for Consultant Selection Decision Support System

Omar

Trigunarsyah

Wong

2009

2009 Fourth International Conference on Cooperation and Promotion of Information Resources in Science and Technology

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In the past decades, Information System (IS) has been applied in wide and diverse management area. Construction management problem is considered a new and promising area for IS researchers to contribute. Scholars in IS discipline have divided research in two distinct paradigm i.e. behavioral and design science. This paper presented a Design Science Research Methodology (DSRM) for DSS development. The research aims to create an innovative IT artifact to support the decision making for consultant selection problem (CSP). To address the research objectives, three case studies at Malaysian Department of Irrigation and Drainage (DID) are planned to be conducted and integrated in the DSRM framework. It is expected that this research will contribute to the improvement of organizational decision making process for consultant selection involving irrigation and drainage projects.

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Section: B Discussionmentioning

confidence: 99%

A Design Science Approach for Consultant Selection Decision Support System

Omar

Trigunarsyah

Wong

2009

2009 Fourth International Conference on Cooperation and Promotion of Information Resources in Science and Technology

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“…While Koltay (2012) as well as Hong and Kim (2020) found media literacy to be a more important factor influencing the potential of information overload, users' socio-economic background may play a role as well (Seaborn et al, 2021). Considering user modelling for enhanced requirement specification, Adikari et al (2006) point out that users are generally assumed to be able-bodied and may have different needs, goals, and preferences. As with information overload, user experience is also subjective (Goudalo & Kolski, 2016;Vermeeren et al, 2010).…”

Section: User Media Literacy and Resilient Information Systemsmentioning

confidence: 99%

Digital Resilience in Dealing with Misinformation on Social Media during COVID-19

et al. 2022

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In crises such as the COVID-19 pandemic, it is crucial to support users when dealing with social media content. Considering digital resilience, we propose a web app based on Social Network Analysis (SNA) to provide an overview of potentially misleading vs. non-misleading content on Twitter, which can be explored by users and enable foundational learning. The latter aims at systematically identifying thematic patterns which may be associated with misleading information. Additionally, it entails reflecting on indicators of misleading tweets which are proposed to approach classification of tweets. Paying special attention to non-expert users of social media, we conducted a two-step Think Aloud study for evaluation. While participants valued the opportunity to generate new knowledge and the diversity of the application, qualities such as equality and rapidity may be further improved. However, learning effects outweighed individual costs as all users were able to shift focus onto relevant features, such as hashtags, while readily pointing out content characteristics. Our design artifact connects to learning-oriented interventions regarding the spread of misleading information and tackles information overload by a SNA-based plug-in.

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“…This can be achieved by incorporating the main design schemes that contribute to the learner's cognitive ability for processing and recalling information (Lee & Tedder, 2003). Hartmann, Sutcliffe, and Angeli (2008) define processing and recalling information as the ease with which a user can remember and make decisions about content; Adikari, McDonald, and Collings (2006) consider this a condition for carrying out tasks. These observations suggest that an empowered cognitive state can guide behaviour towards achieving learning goals.…”

Section: Hypothesesmentioning

confidence: 99%

Isolation and distinctiveness in the design of e-learning systems influence user preferences

Al-Samarraie

Selim

Teo³

et al. 2016

Interactive Learning Environments

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When faced with excessive detail in an online environment, typical users have difficulty processing all the elements of representation. This in turn creates cognitive overload, which narrows the user's focus to a few select items. In the context of e-learning, we translated this aspect as the learner's demand for a system that facilitates the retrieval of learning contentone in which the representation is easy to read and understand. We hypothesized that the representation of content in an e-learning system's design is an important antecedent for learner preferences. The aspects of isolation and distinctiveness were incorporated into the design of e-learning representation as an attempt to promote student cognition. Following its development, the model was empirically validated by conducting a survey of 300 university students. We found that isolation and distinctiveness in the design elements appeared to facilitate the ability of students to read and remember online learning content. This in turn was found to drive user preferences for using e-learning systems. The findings provide designers with managerial insights for enticing learners to continue using e-learning systems.

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A design science approach to an HCI research project

Cited by 8 publications

References 7 publications

A Design Science Approach for Consultant Selection Decision Support System

A Design Science Approach for Consultant Selection Decision Support System

Digital Resilience in Dealing with Misinformation on Social Media during COVID-19

Isolation and distinctiveness in the design of e-learning systems influence user preferences

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