Emotional factors in robot-based assistive services for elderly at home

Emotional factors related to aging at home assistive technology are known to affect technology acceptance, effective use, and quality of life improvement. This paper is a survey on the affective dimension of robot-based systems conceived for helping elderly at home. The specificity of elders' capabilities (e.g. sensory and cognitive), coping styles, aspirations, lifestyles, social rules and preferences are faced with available knowledge from the fields of social psychology, sociology and gerontology. In the case of social robots, convenient verbal and non-verbal communication and motion behavior (e.g. social distance, space formations) are to be designed according to generational and cultural rules. Moreover, robot behavior should be congruent with its role (i.e. helper, companion) and affordances.

[1]  Corey M. Angst,et al.  Reconceptualizing Compatibility Beliefs in Technology Acceptance , 2006 .

[2]  Dariu Gavrila,et al.  The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..

[3]  Takanori Shibata,et al.  Living With Seal Robots—Its Sociopsychological and Physiological Influences on the Elderly at a Care House , 2007, IEEE Transactions on Robotics.

[4]  Cynthia Breazeal,et al.  The huggable: a therapeutic robotic companion for relational, affective touch , 2006, CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006..

[5]  Amedeo Cesta,et al.  Psychological Implications of Domestic Assistive Technology for the Elderly , 2007, PsychNology J..

[6]  Allen R. Hanson,et al.  Mobile manipulators for assisted living in residential settings , 2008, Auton. Robots.

[7]  Thomas B. Moeslund,et al.  A Survey of Computer Vision-Based Human Motion Capture , 2001, Comput. Vis. Image Underst..

[8]  Paul Jen-Hwa Hu,et al.  Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..

[9]  Maja J. Matarić,et al.  Distance-based computational models for facilitating robot interaction with children , 2012, HRI 2012.

[10]  Kent Larson,et al.  Activity Recognition in the Home Using Simple and Ubiquitous Sensors , 2004, Pervasive.

[11]  Cecilio Angulo,et al.  The Impact of Introducing Therapeutic Robots in Hospital's Organization , 2012, IWAAL.

[12]  Adriana Tapus,et al.  Assistive Robotics for Customized Cognitive Stimulation and Physical Rehabilitation , 2009 .

[13]  F Dobson,et al.  Eye contact. , 1993, Nursing times.

[14]  Joelle Pineau,et al.  Towards robotic assistants in nursing homes: Challenges and results , 2003, Robotics Auton. Syst..

[15]  Bernt Schiele,et al.  ADL recognition based on the combination of RFID and accelerometer sensing , 2008, 2008 Second International Conference on Pervasive Computing Technologies for Healthcare.

[16]  Elaine B. Hyder,et al.  The ELDer project: social, emotional, and environmental factors in the design of eldercare technologies , 2000, CUU '00.

[17]  K. Dautenhahn.  Robots we like to live with?! - a developmental perspective on a personalized, life-long robot companion , 2004, RO-MAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No.04TH8759).

[18]  Ben Kröse,et al.  Care: context awareness in residences for elderly , 2008 .

[19]  H. Harry Asada,et al.  Conductive Fabric Garment for a Cable-Free Body Area Network , 2007, IEEE Pervasive Computing.

[20]  M. Argyle,et al.  EYE-CONTACT, DISTANCE AND AFFILIATION. , 1965, Sociometry.

[21]  Rama Chellappa,et al.  Machine Recognition of Human Activities: A Survey , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[22]  Annica Kristoffersson,et al.  Measuring the Quality of Interaction in Mobile Robotic Telepresence: A Pilot’s Perspective , 2013, Int. J. Soc. Robotics.

[23]  Boris E. R. de Ruyter,et al.  Ambient intelligence: visualizing the future , 2004, AVI.

[24]  Allison M. Okamura,et al.  Medical and Health-Care Robotics , 2010, IEEE Robotics & Automation Magazine.

[25]  K. Courtney,et al.  Obtrusiveness of information-based assistive technologies as perceived by older adults in residential care facilities: A secondary analysis , 2007, Medical informatics and the Internet in medicine.

[26]  Alessandro Saffiotti,et al.  The PEIS-Ecology project: Vision and results , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[27]  Rogerio DePaula,et al.  A Framework for the Adoption of Assistive Technology , 2002 .

[28]  Marcel Heerink.  How elderly users of a socially interactive robot experience adaptiveness, adaptability and user control , 2011, 2011 IEEE 12th International Symposium on Computational Intelligence and Informatics (CINTI).

[29]  Cynthia Breazeal,et al.  Robots at home: Understanding long-term human-robot interaction , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[30]  Marta Díaz,et al.  Building up child-robot relationship for therapeutic purposes: From initial attraction towards long-term social engagement , 2011, Face and Gesture 2011.

[31]  Kent Larson,et al.  Using a Live-In Laboratory for Ubiquitous Computing Research , 2006, Pervasive.

[32]  Ben J. A. Kröse,et al.  Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model , 2010, Int. J. Soc. Robotics.

[33]  Y. Schikhof.  From acceptance by end-users to added value for all stakeholders , 2012 .

[34]  Eric Dishman,et al.  Inventing wellness systems for aging in place , 2004, Computer.

[35]  Gregory D. Abowd,et al.  The Aware Home: A Living Laboratory for Ubiquitous Computing Research , 1999, CoBuild.

[36]  Cynthia Breazeal,et al.  A Robotic Weight Loss Coach , 2007, AAAI.

[37]  Bernt Schiele,et al.  ADL recognition based on the combination of RFID and accelerometer sensing , 2008, Pervasive 2008.

[38]  M. Díaz,et al.  Factors influencing acceptability of ambulatory telemonitoring systems: a qualitative approach of physicians’ views as end-users and prescriptors , 2008 .

[39]  Cynthia Breazeal,et al.  The Design of the Huggable: A Therapeutic Robotic Companion for Relational, Affective Touch , 2006, AAAI Fall Symposium: Caring Machines.

[40]  Ulrich Reiser,et al.  Mirrobot: Fast Detection of Body-Parts in the Scale-Space of Range Images with an Application to Human Motion Copying , 2006, ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication.

[41]  Maja J Matarić,et al.  Socially Assistive Robotics for Post-stroke Rehabilitation Journal of Neuroengineering and Rehabilitation Socially Assistive Robotics for Post-stroke Rehabilitation , 2007 .