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Context matters: Evaluating Interaction Techniques with the CIS Model

Caroline Appert 1, 2 Michel Beaudouin-Lafon 1, 2 Wendy Mackay 1, 2 
1 IN-SITU - Situated interaction
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : This article introduces the Complexity of Interaction Sequences model (CIS). CIS describes the structure of interaction techniques and predicts their performance in the context of an interaction sequence. The model defines the complexity of an interaction technique as a measure of its effectiveness within a given context. We tested CIS to compare three interaction techniques: fixed unimanual palettes, fixed bimanual palettes and toolglasses. The model predicts that the complexity of both palettes depends on interaction sequences, unlike toolglasses. CIS also predicts that fixed bimanual palettes outperform the other two techniques. Predictions were tested empirically with a controlled experiment and contrast with previous studies. We argue that, in order to be generalisable, experimental comparisons of interaction techniques should include the concept of context sensitivity.
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Submitted on : Wednesday, November 24, 2010 - 7:58:22 AM
Last modification on : Wednesday, October 26, 2022 - 8:16:31 AM
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  • HAL Id : inria-00539089, version 1


Caroline Appert, Michel Beaudouin-Lafon, Wendy Mackay. Context matters: Evaluating Interaction Techniques with the CIS Model. [Research Report] 2003. ⟨inria-00539089⟩



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