Multimodal Observation Method of Digital Accessibility for Elderly People

Abstract This article presents a new methodological framework for multimodal observation of digital technologies. It is based on the use of mixed methods developed in the interdisciplinary MAN project founded by CNRS. It focuses on the digital accessibility of older people. The originality of the method lies in the implementation of a method combining qualitative and quantitative measurement to determine relevant indicators. These indicators characterize the person's behavior when using a technology and its usability. We show how these indicators are built, based on the cross-referencing of data. We present the different tools (questionnaire, interviews and technological data recording tools) used in the MAN method in a living laboratory environment controlled with four volunteers. Two use scenarios are proposed to illustrate the method in assessing the accessibility of a tactile application for older people without a digital divide and without disabilities. We present the recorded qualitative and quantitative data and illustrate by an example the unrelatedness of these data through a specific annotation tool.

[1]  Nikolaos Avouris,et al.  Beyond logging of fingertip actions: analysis of collaborative learning using multiple sources of data , 2007 .

[2]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[3]  Virpi Roto,et al.  User experience evaluation methods: current state and development needs , 2010, NordiCHI.

[4]  Philippe Gorce,et al.  Interaction techniques for older adults using touchscreen devices: a literature review from 2000 to 2013 , 2017 .

[5]  Y. Joanette,et al.  [Formal and semantic lexical evocation in normal subjects. Performance and dynamics of production as a function of sex, age and educational level]. , 1990, Acta neurologica Belgica.

[6]  Frédéric Vella,et al.  Specifying an MQTT Tree for a Connected Smart Home , 2018, ICOST.

[7]  Frédéric Vella,et al.  Post-test Perceptions of Digital Tools by the Elderly in an Ambient Environment , 2016, ICOST.

[8]  Franck Tarpin-Bernard,et al.  Fracture numérique chez les seniors du 4eme age. Observation d'une acculturation technique , 2009, LCN 2009.

[9]  John W. Creswell,et al.  Research Design: Qualitative, Quantitative, and Mixed Methods Approaches , 2010 .

[10]  T. Amira,et al.  Stress Level Classification Using Heart Rate Variability , 2019, Advances in Science, Technology and Engineering Systems Journal.

[11]  L McAtamney,et al.  RULA: a survey method for the investigation of work-related upper limb disorders. , 1993, Applied ergonomics.

[12]  É. Campo,et al.  Démarche de co-conception d’une méthode d’observation et d’évaluation multidimensionnelle de l’accessibilité au numérique , 2018, Tic & société.

[13]  Charles Consel,et al.  Self determination-based design to achieve acceptance of assisted living technologies for older adults , 2016, Comput. Hum. Behav..

[14]  Philippe Gorce,et al.  Biomechanical analysis of upper limb during the use of touch screen: motion strategies identification , 2017, Ergonomics.

[15]  Marie-Renée Guével,et al.  Recherche par les méthodes mixtes en santé publique : enjeux et illustration , 2012 .

[16]  Helen Petrie,et al.  The Evaluation of Accessibility, Usability, and User Experience , 2009, The Universal Access Handbook.

[17]  Martina Ziefle,et al.  Human-Computer Interaction and Usability Engineering for Elderly (HCI4AGING): Introduction to the Special Thematic Session , 2010, ICCHP.

[18]  J. Ravaud,et al.  L’émergence des disability studies : état des lieux et perspectives , 2001 .

[19]  Marie-Noëlle Lamy,et al.  Multimodality in Online Language Learning Environments : Looking for a methodology , 2006 .

[20]  A. Onwuegbuzie,et al.  Mixed Methods Research: A Research Paradigm Whose Time Has Come , 2004 .

[21]  Katarzyna Wegrzyn-Wolska,et al.  Monitoring chronic disease at home using connected devices , 2018, 2018 13th Annual Conference on System of Systems Engineering (SoSE).

[22]  Walid Bourennane,et al.  Activity monitoring system for elderly in a context of smart home , 2013 .

[23]  Nicolas Vibert,et al.  Impact of the motion and visual complexity of the background on players' performance in video game-like displays , 2013, Ergonomics.

[24]  Nicolas Hine,et al.  Current Issues and Future Directions in Methods for Studying Technology in the Home , 2013, PsychNology J..

[25]  G. Gronier,et al.  Création et validation d’une version française du questionnaire AttrakDiff pour l’évaluation de l’expérience utilisateur des systèmes interactifs , 2015 .

[26]  Frédéric Vella,et al.  Connexion du Middleware MiCom avec l'interface tactile InTacS pour le contrôle d'une smart home , 2016, Ubimob.

[27]  A. Piau.  Méthodes d’évaluation multidimensionnelle et de travail collaboratif pour le développement des technologies de prévention de la dépendance des sujets âgés , 2016 .

[28]  A. Onwuegbuzie,et al.  Toward a Definition of Mixed Methods Research , 2007 .

[29]  J. O. D. Sardan.  La rigueur du qualitatif : les contraintes empiriques de l'interprétation socio-anthropologique , 2008 .

[30]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[31]  Nelson Pacheco da Rocha,et al.  Usability, accessibility and ambient-assisted living: a systematic literature review , 2013, Universal Access in the Information Society.

[32]  David Wechsler,et al.  Wechsler Memory scale. , 2005 .

[33]  M. Hautekeete,et al.  La variabilité cardiaque : Un bon indicateur de la régulation des émotions , 2008 .