Tailored Scenarios: A Low-Cost Online Method to Elicit Perceptions of Home Technologies Using Participant-Specific Contextual Information

作者: Michael Brown , Tim Coughlan , Jesse Blum , Glyn Lawson , Robert Houghton

DOI: 10.1093/IWC/IWU028

关键词: Scale (social sciences)Space (commercial competition)Contextual designEmerging technologiesDesign technologyHuman–computer interactionComputer sciencePerceptionUbiquitous computingAffect (psychology)Knowledge management

摘要: The introduction of new ubiquitous computing technologies has the capacity to greatly affect home, a space that is core human experience, yet remains understudied owing its sensitive, semi-private nature. Scenario-based methods have previously been used collect home technology design responses but they tended over-simplify social contexts involved, and not taken into account unique circumstances respondents. Technology probes also suffer from increased costs in research time effort corresponding reduction participation, as well decreased acceptance their invasiveness. We present 'Tailored Scenarios', method for eliciting participant involving home-based dynamically presents participants with scenarios, based on contexts, which are installed. Scenarios' use self-reported contextual data customize each scenario. method, report findings case study we compared those traditional scenarios probes. Our suggest an improvement over standard scenario terms attitudes towards easier implement at scale than

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