Low-literates’ support needs for societal participation learning

Empirical grounding of theory- and model-based design

Journal Article (2017)
Author(s)

Dylan Schouten (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Rosie Paulissen (TNO)

Marieke Hanekamp (CINOP)

Annemarie Groot (ECBO)

Mark Neerincx (TU Delft - Electrical Engineering, Mathematics and Computer Science, TNO)

AHM Cremers (TNO)

Research Group
Interactive Intelligence
DOI related publication
https://doi.org/10.1016/j.cogsys.2017.04.007 Final published version
More Info
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Publication Year
2017
Language
English
Research Group
Interactive Intelligence
Volume number
45
Pages (from-to)
30-47
Downloads counter
187

Abstract

Specialized learning support software can address the low societal participation of low-literate Dutch citizens. We use the situated Cognitive Engineering method to iteratively create a design specification for the envisioned system VESSEL: a Virtual Environment to Support the Societal participation Education of Low-literates. An initial high-level specification for this system is refined by incorporating the societal participation experiences of low-literate citizens into the design. In two series of user studies, the participant workshop and cultural probe methods were used with 23 low-literate participants. The Grounded Theory method was used to process the rich user data from these studies into the Societal Participation Experience of Low-Literates (SPELL) model. Using this experience model, the existing VESSEL specification was refined: requirements were empirically situated in the daily practice of low-literate societal participation, and new claims were written to explicate the learning effectiveness of the proposed VESSEL system. In conclusion, this study provides a comprehensive, theoretically and empirically grounded set of requirements and claims for the proposed VESSEL system, as well as the underlying SPELL model, which captures the societal participation experiences of low-literates citizens. The research methods used in this study are shown to be effective for requirements engineering with low-literate users.