User Experience as a Parameter to Enhance Automation Acceptance: Lessons from Automating Articulatory Tasks
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![Figure 1. Technology Acceptance Model (TAM) [9]](https://thumb-eu.123doks.com/thumbv2/123doknet/3236176.92715/2.918.485.827.302.395/figure-technology-acceptance-model-tam.webp)
![Table 1. Levels of automation of decision and action selection [30]](https://thumb-eu.123doks.com/thumbv2/123doknet/3236176.92715/3.918.474.833.183.584/table-levels-automation-decision-action-selection.webp)
![Figure 3. Redrawing of the time spans of user experience [1]. For the area of interactive TV, [32] showed that high usability does not lead to a positive user experience and that a system with low usability can have nevertheless a highly posit](https://thumb-eu.123doks.com/thumbv2/123doknet/3236176.92715/4.918.482.830.230.324/figure-redrawing-experience-interactive-usability-positive-experience-usability.webp)
![Figure 4. Automation Acceptance Model (AAM) from [12]. In grey the original TAM model, dashed lines show the feedback cycle proposed by the authors](https://thumb-eu.123doks.com/thumbv2/123doknet/3236176.92715/5.918.95.443.122.298/figure-automation-acceptance-model-original-feedback-proposed-authors.webp)
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![Figure 4: Extended TAM [10] taking into account feedback based on anticipated (*), momentary (**) and episodic user experience (***)](https://thumb-eu.123doks.com/thumbv2/123doknet/3236176.92715/6.918.67.460.390.606/figure-extended-account-feedback-anticipated-momentary-episodic-experience.webp)
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