Developing a Design Inquiry Method for Data Exploration

Kun, Péter; Mulder, Ingrid; Kortuem, Gerd

doi:10.55612/s-5002-045-008

Cited by 4 publications

(3 citation statements)

References 43 publications

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“…1. Data Accessibility: HDI prioritizes ease of access to data through user-friendly interfaces, supporting diverse user needs and contexts [11].…”

Section: Human-data Interaction (Hdi)mentioning

confidence: 99%

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HCI and Data: Interacting in a New Era of Virtualization

Blanco,

Lázaro,

Penichet

2024

Preprint

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This article explores the intricate relationship between Human-Data Interaction (HDI) and Data Virtualization (DV), two integral fields that are redefining how we engage with and manage data in the digital age. Positioned at the intersection of technology and user-centric design, this study examines how DV can transcend traditional data management boundaries to significantly enhance data accessibility, legibility, and agency, thus fostering more ethical and meaningful interactions across various sectors. Opening with a detailed exposition on the evolving role of HDI, the paper contextualizes the importance of user-centric data practices within contemporary digital challenges. HDI’s principles are pivotal as they advocate for user empowerment in data interactions, ensuring that data processes are not only transparent but also negotiable and aligned with users’ needs and ethical standards. DV emerges as a transformative solution that inherently supports these principles by integrating diverse data sources into a cohesive and accessible format, thereby eliminating many of the inefficiencies found in conventional data management systems. Through a series of nuanced case studies, the paper provides empirical evidence of DV’s effectiveness across diverse domains. In healthcare, DV facilitates a holistic approach to patient care by providing seamless access to comprehensive medical records, thereby enabling faster, more accurate diagnostic and treatment processes. In the financial sector, DV proves instrumental in enhancing the detection and management of fraud, integrating transactional data across global platforms in real-time to allow for swift, proactive interventions. In education, DV supports personalized learning by synchronizing data from various educational tools, thus allowing for tailored educational experiences that respond dynamically to student performance and engagement metrics. Moreover, the paper critically addresses the ethical considerations and privacy concerns that arise with the integration of HDI and DV, particularly as data interactions become more pervasive and complex. By proposing forward-thinking research directions, it seeks to refine these technologies to better serve societal needs while addressing potential risks and governance issues. In conclusion, this study significantly contributes to the discourse on HDI by advocating for DV as an essential, innovative tool that enhances the clarity, fairness, and efficacy of data interactions. By demonstrating how DV can transform large-scale data sets into user-friendly formats that support decision-making and improve operational efficiencies, the paper underscores DV’s potential to advance a range of industries and enhance the daily lives of individuals interacting with digital systems.

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“…1. Data Accessibility: HDI prioritizes ease of access to data through user-friendly interfaces, supporting diverse user needs and contexts [11].…”

Section: Human-data Interaction (Hdi)mentioning

confidence: 99%

“…Improving the accessibility and usability of data is essential for fostering effective human development [11]. DV addresses this by simplifying the inherent complexities of distributed data systems, providing intuitive data representations that enhance user comprehension and interaction [26].…”

Section: Enhancing Hdi From Data Virtualizationmentioning

confidence: 99%

HCI and Data: Interacting in a New Era of Virtualization

Blanco,

Lázaro,

Penichet

2024

Preprint

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“…The first paper [5], presents the Data Exploration for Design (DEfD) method, a design inquiry method that was developed to enable and guide designers to creatively explore and use datasets for design inquiry. This creative exploration of data is aimed at enabling valuable inferences to be extracted for the design process, which would otherwise have been more difficult to find technically through the use of other design research methods.…”

Section: Papers In the Special Issuementioning

confidence: 99%

End-user development challenges for creative computing

Dodero¹,

Yang²,

Balderas³

2020

IxD&A

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Data-inspired co-design for museum and gallery visitor experiences

Darzentas

Cameron

Wagner

et al. 2022

AIEDAM

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The capture and analysis of diverse data is widely recognized as being vital to the design of new products and services across the digital economy. We focus on its use to inspire the co-design of visitor experiences in museums as a distinctive case that reveals opportunities and challenges for the use of personal data. We present a portfolio of data-inspired visiting experiences that emerged from a 3-year Research Through Design process. These include the overlay of virtual models on physical exhibits, a smartphone app for creating personalized tours as gifts, visualizations of emotional responses to exhibits, and the data-driven use of ideation cards. We reflect across our portfolio to articulate the diverse ways in which data can inspire design through the use of ambiguity, visualization, and inter-personalization; how data inspire co-design through the process of co-ideation, co-creation, and co-interpretation; and how its use must negotiate the challenges of privacy, ownership, and transparency. By adopting a human perspective on data, we are able to chart out the complex and rich information that can inform design activities and contribute to datasets that can drive creativity support systems.

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Developing a Design Inquiry Method for Data Exploration

Cited by 4 publications

References 43 publications

HCI and Data: Interacting in a New Era of Virtualization

HCI and Data: Interacting in a New Era of Virtualization

End-user development challenges for creative computing

Data-inspired co-design for museum and gallery visitor experiences

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