From Social Practices to Social Robots - User-Driven Robot Development in Elder Care

It has been shown that the development of social robots for the elder care sector is primarily technology driven and relying on stereotypes about old people. We are focusing instead on the actual social practices that will be targeted by social robots. We provide details of this interdisciplinary approach and highlight its applicability and usefulness with field examples from an elder care home. These examples include ethnographic field studies as well as workshops with staff and residents. The goal is to identify and agree with both groups on social practices, where the use of a social robot might be beneficial. The paper ends with a case study of a robot, which frees staff from repetitive and time consuming tasks while at the same time allowing residents to reclaim some independence.

[1]  J. Broekens,et al.  Assistive social robots in elderly care: a review , 2009 .

[2]  Gillian R. Hayes.  Knowing by Doing: Action Research as an Approach to HCI , 2014, Ways of Knowing in HCI.

[3]  Etienne Wenger,et al.  Communities of Practice: Learning, Meaning, and Identity , 1998 .

[4]  Francesco Chinello,et al.  KUKA Control Toolbox , 2011, IEEE Robotics & Automation Magazine.

[5]  Bruce A. MacDonald,et al.  Acceptance of Healthcare Robots for the Older Population: Review and Future Directions , 2009, Int. J. Soc. Robotics.

[6]  Paul Dourish,et al.  On "Technomethodology": Foundational Relationships Between Ethnomethodology and System Design , 1998, Hum. Comput. Interact..

[7]  Lucy Suchman.  Plans and situated actions: the problem of human-machine communication , 1987 .

[8]  Pieter Abbeel,et al.  Image Object Label 3 D CAD Model Candidate Grasps Google Object Recognition Engine Google Cloud Storage Select Feasible Grasp with Highest Success Probability Pose EstimationCamera Robots Cloud 3 D Sensor , 2014 .

[9]  Harvey Sacks.  Structures of Social Action: Notes on methodology , 1985 .

[10]  Ya-Huei Wu,et al.  Designing robots for the elderly: appearance issue and beyond. , 2012, Archives of gerontology and geriatrics.

[11]  Morana Alac,et al.  Fumihide Tanaka engagement in the practice of social robotics When a robot is social : Spatial arrangements and multimodal semiotic , 2011 .

[12]  Johannes Wagner,et al.  The Social Signal Interpretation Framework (SSI) for Real Time Signal Processing and Recognition , 2011, INTERSPEECH.

[13]  C. Heath,et al.  Technology in Action: ‘Interaction’ with computers in architecture , 2000 .

[14]  Lone Dirckinck-Holmfeld,et al.  Dialogue Design-With Mutual Learning as Guiding Principle , 2003, Int. J. Hum. Comput. Interact..

[15]  Peter Tolmie,et al.  Doing Design Ethnography , 2012, Human–Computer Interaction Series.

[16]  Manfred Tscheligi,et al.  Anthropomorphic design for an interactive urban robot: the right design approach , 2011, HRI '11.

[17]  Ole Madsen,et al.  Robot skills for manufacturing , 2016 .

[18]  E. Wenger.  Communities of Practice: Learning, Meaning, and Identity , 1998 .

[19]  Susanne Frennert,et al.  Review: Seven Matters of Concern of Social Robots and Older People , 2014, International Journal of Social Robotics.

[20]  Christopher Donoghue,et al.  Nursing Home Staff Turnover and Retention , 2010 .

[21]  D. R. Heise,et al.  Structure of Emotions , 1988 .

[22]  Johannes Wagner,et al.  Social Signal Interpretation (SSI) , 2011, KI - Künstliche Intelligenz.

[23]  David J. Hewson,et al.  Selecting services for a service robot: Evaluating the problematic activities threatening the independence of elderly persons , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

[24]  Tom Rodden,et al.  Moving out from the control room: ethnography in system design , 1994, CSCW '94.