Categorisation of visualisation methods to support the design of Human-Computer Interaction Systems

Li, Katie; Tiwari, Ashutosh; Alcock, Jeffrey R.; Bermell-García, Pablo

doi:10.1016/j.apergo.2016.01.009

Cited by 32 publications

(25 citation statements)

References 22 publications

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“…Dan (c) pengguna untuk berkontribusi secara aktif pada desain itu sendiri untuk menjadi codesigners. Teknik ini telah dikembangkan yang melibatkan pengguna secara aktif dan produktif dalam desain [7], [8], [9].…”

Section: Human Centered Modelling and Designunclassified

Desain Prototype Sistem Informasi Hafalan Al Quran Berbasis Perspektif HCI

2017

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Penelitian ini bertujuan untuk mengembangkan produk prototipe berbasis IT yang bisa mempermudah dan meningkatkan produktivitas proses bisnis yang ada di UPTQ (Unit Pengembangan Tahfidzul Quran) berupa sistem informasi hafalan Al-Quran dengan perspektif HCI (Human Computer Interaction). Metode penelitian menggunakan Research and Developmen (R&D) level 1 dengan metode pengembangan perangkat lunak berbasis prototipe. Pengembangan prototipe Sistem Informasi Hafalan Al-Quran diuji melalui 2 (dua) metode, metode Heuristic Evaluation untuk pengujian desain interface dan ISO 9241-1 untuk pengujian aspek usability. Hasil pengujian tingkat efektifitas dari sistem "Baik" yaitu sebesar 82,1%. Hasil pengujian tingkat efisiensi tergolong "Baik" yaitu sebesar 81,87% dan tingkat kepuasan terhadap sistem "Cukup Baik" yaitu sebesar 78,9%. Diperoleh hasil uji kelayakan aspek usability dari sistem sebesar 80,22% dan dinyatakan layak untuk digunakan/diimplementasikan di UPTQ UIN Sunan Ampel Surabaya.

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Section: Human Centered Modelling and Designunclassified

Desain Prototype Sistem Informasi Hafalan Al Quran Berbasis Perspektif HCI

2017

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“…Thus, in summary, the benefits of visualization are knowledge sharing by externalizing internal understanding, improving thinking capacity, and assisting in new idea formulation by lessening the working memory of a person, and visualization can also create deeper relationship understanding (K. Li, Tiwari, Alcock, & Bermell-Garcia, 2016). This directly correlates to the data driven decisionmaking framework identified in Figure 2 (Mandinach et al, 2006), which highlights summarizing and analyzing as cognitive functions that must be applied to derive meaning from data.…”

Section: Literature Analysismentioning

confidence: 99%

“…Visual design is not focused on creating 'pretty pictures', but is rather centered on providing information that has relevancy and purpose for the task at hand. If the data visual does not display relevant information, the visual output could lead to confusion, frustration and incomprehension (K. Li et al, 2016). Further research into the use of images in information systems research noted that images inherently include knowledge that is relevant to the subject at hand, and it is this knowledge that aids analysis, rather than the visual form itself (Andrade, Urquhart, & Arthanari, 2015).…”

Section: Literature Analysismentioning

confidence: 99%

Data Visualization in Support of Executive Decision Making

Moore

2017

IJIKM

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Aim/PurposeThis journal paper seeks to understand historical aspects of data management, leading to the current data issues faced by organizational executives in relation to big data and how best to present the information to circumvent big data challenges for executive strategic decision making. BackgroundThis journal paper seeks to understand what executives value in data visualization, based on the literature published from prior data studies. MethodologyThe qualitative methodology was used to understand the sentiments of executives and data analysts using semi-structured interview techniques. ContributionThe preliminary findings can provide practical knowledge for data visualization designers, but can also provide academics with knowledge to reflect on and use, specifically in relation to information systems (IS) that integrate human experience with technology in more valuable and productive ways. FindingsPreliminary results from interviews with executives and data analysts point to the relevance of understanding and effectively presenting the data source and the data journey, using the right data visualization technology to fit the nature of the data, creating an intuitive platform which enables collaboration and newness, the data presenter's ability to convey the data message and the alignment of the visualization to core the objectives as key criteria to be applied for successful data visualizations Recommendations for Practitioners Practitioners, specifically data analysts, should consider the results highlighted in the findings and adopt such recommendations when presenting data visualizations. These include data and premise understanding, ensuring alignment to the executive's objective, possessing the ability to convey messages succinctly and clearly to the audience, having knowledge of the domain to answer questions effectively, and using the right technology to convey the message. Recommendation for ResearchersThe importance of human cognitive and sensory processes and its impact in IS development is paramount. More focus can be placed on the psychological factors of technology acceptance. The current TAM model, used to describe use, identifies perceived usefulness and perceived ease-of-use as the primary consid-

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“…Visualisation is an important component in shaping smart cultural heritage developments and in providing a tangible interface between the user and the enabling and often invisible technologies lying beneath (Li et al 2016). Importantly, visualisation is a proven method of increasing the effectiveness of information and knowledge access and representation in cultural heritage interpretation and user interaction.…”

Section: Visualisation Technologiesmentioning

confidence: 99%