Information theory: An analysis and design tool for HCI

Wanyu Liu 1, 2, 3 Antti Oulasvirta 4 Olivier Rioul 1, 2 Michel Beaudouin-Lafon 5, 6 Yves Guiard 7, 8, 9
1 COMNUM - Communications Numériques
LTCI - Laboratoire Traitement et Communication de l'Information
6 EX-SITU - Extreme Interaction
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
7 DIVA - Design, Interaction, Visualization & Applications
LTCI - Laboratoire Traitement et Communication de l'Information
9 HCC - LRI - Human-Centered Computing (LRI)
LRI - Laboratoire de Recherche en Informatique
Abstract : Shannon’s information theory, since its first introduction in 1948, has received much attention and successful applications in many domains. Apart from Fitts’ law and Hick’s law, which came out when experimental psychologists were enthusiastic about applying information theory to various areas of psychology, the relation of information theory to human-computer interaction (HCI) has not been clear. Even the two above-mentioned “laws” remain controversial in both psychology and HCI. On the other hand, in recent years, information theory has started to directly inspire or contribute to HCI research.
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Wanyu Liu, Antti Oulasvirta, Olivier Rioul, Michel Beaudouin-Lafon, Yves Guiard. Information theory: An analysis and design tool for HCI. ACM CHI 2019 Workshop on Computational Modeling in Human-Computer Interaction, May 2019, Glasgow, United Kingdom. ⟨hal-02300784⟩

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