Implementation Goals for Multimodal Interfaces in Human-Computer Interaction

被引:1
|
作者
Rafael, Sonia [1 ]
Almeida, Victor M. [2 ]
机构
[1] Univ Lisbon, Fac Belas Artes, ITI Interact Technol Inst LARSyS, Largo Acad Nacl Belas Artes, P-1249058 Lisbon, Portugal
[2] Univ Lisbon, Fac Belas Artes, Ctr Invest & Estudos Belas Artes CIEBA, Largo Acad Nacl Belas Artes, P-1249058 Lisbon, Portugal
关键词
HCI; Multimodal interfaces; Implementation goals; Usability; Interaction design; USER-INTERFACE; MODELS;
D O I
10.1007/978-3-030-78462-1_17
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A multimodal interface will only be adequate if it is validated by usability criteria, namely, if it promotes: a faster interaction; a selective adaptation to different environments, users or usage behaviours; a shorter learning curve or being more intuitive; the recognition of information in a noisy environment (e.g. at the sound, visual or tactile level); the connection of presented information to a more global contextual knowledge (enabling an easier interpretation); and the translation of information between modalities. Hence, the option for a multimodal interface, over a unimodal, depends on the type of action to be carried out by the user, its potential for increased usability and experience it can provide. The multimodal interface research area constitutes a very active and constantly expanding interdisciplinary territory, and this fact contributes to the numerous implementation goals attributed to these interfaces. This article seeks to identify and enumerate them, supporting itself on a thorough bibliographic analysis.
引用
收藏
页码:230 / 239
页数:10
相关论文
共 50 条
  • [31] Multiculturalism and Human-Computer Interaction: User Interfaces for Immigrants
    Bobeth, Jan
    Deutsch, Stephanie
    Tscheligi, Manfred
    MENSCH & COMPUTER 2013 - WORKSHOPBAND: INTERAKTIVE VIELFALT. INTERACTIVE DIVERSITY, 2013, : 495 - 498
  • [32] Brain Computer Interfaces as Intelligent Sensors for Enhancing Human-Computer Interaction
    Poel, Mannes
    Nijboer, Femke
    van den Broek, Egon L.
    Fairclough, Stephen
    Nijholt, Anton
    ICMI '12: PROCEEDINGS OF THE ACM INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, 2012, : 379 - 382
  • [33] Multimodal Human-Computer Interfaces Based on Advanced Video and Audio Analysis
    Czyzewski, A.
    Dalka, P.
    Kosikowski, L.
    Kunka, B.
    Odya, P.
    1600, Springer Verlag (300): : 87 - 102
  • [34] Multimodal human-computer interfaces based on advanced video and audio analysis
    Czyzewski, Andrzej
    Dalka, Piotr
    Kosikowski, Lukasz
    Kunka, Bartosz
    Kupryjanow, Adam
    Lech, Michal
    Odya, Piotr
    2013 6TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI), 2013, : 18 - 25
  • [35] Multimodal Natural Human-Computer Interfaces for Computer-Aided Design: A Review Paper
    Niu, Hongwei
    Van Leeuwen, Cees
    Hao, Jia
    Wang, Guoxin
    Lachmann, Thomas
    APPLIED SCIENCES-BASEL, 2022, 12 (13):
  • [36] Multimodal Human-Computer Interaction Based on Bayesian Classification Algorithm
    Xing, Wang
    Tao, Zuo
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 5674 - 5680
  • [37] An experimental study of input modes for multimodal human-computer interaction
    Ren, XH
    Zhang, G
    Dai, GH
    ADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS, 2000, 1948 : 49 - 56
  • [38] Towards a Universal Human-Computer Interaction Model for Multimodal Interactions
    Faltaous, Sarah
    Gruenefeld, Uwe
    Schneegass, Stefan
    MENSCH AND COMPUTER 2021 (MUC 21), 2021, : 59 - 63
  • [39] Toward an affect-sensitive multimodal human-computer interaction
    Pantic, M
    Rothkrantz, LJM
    PROCEEDINGS OF THE IEEE, 2003, 91 (09) : 1370 - 1390
  • [40] InfoPlant: Multimodal augmentation of plants for enhanced human-computer interaction
    Hammerschmidt, Jan
    Hermann, Thomas
    Walender, Alex
    Kroemker, Niels
    2015 6TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFOCOMMUNICATIONS (COGINFOCOM), 2015, : 511 - 516