EXPLORA: A teacher-apprentice methodology for eliciting natural child-computer interactions

March 25, 2024 Β· Declared Dead Β· πŸ› International Conference on Human Factors in Computing Systems

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Authors Vanessa Figueiredo, Catherine Ann Cameron arXiv ID 2403.17264 Category cs.HC: Human-Computer Interaction Cross-listed cs.IR Citations 4 Venue International Conference on Human Factors in Computing Systems Last Checked 4 months ago
Abstract
Investigating child-computer interactions within their contexts is vital for designing technology that caters to children's needs. However, determining what aspects of context are relevant for designing child-centric technology remains a challenge. We introduce EXPLORA, a multimodal, multistage online methodology comprising three pivotal stages: (1) building a teacher-apprentice relationship,(2) learning from child-teachers, and (3) assessing and reinforcing researcher-apprentice learning. Central to EXPLORA is the collection of attitudinal data through pre-observation interviews, offering researchers a deeper understanding of children's characteristics and contexts. This informs subsequent online observations, allowing researchers to focus on frequent interactions. Furthermore, researchers can validate preliminary assumptions with children. A means-ends analysis framework aids in the systematic analysis of data, shedding light on context, agency and homework-information searching processes children employ in their activities. To illustrate EXPLORA's capabilities, we present nine single case studies investigating Brazilian child-caregiver dyads' (children ages 9-11) use of technology in homework information-searching.
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