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Attitudes towards socially assistive robots in intelligent homes: results from laboratory studies and field trials

Authors:

Johannes Oberzaucher,

Raymond H. Cuijpers,

James F. JuolaAuthors Info & Claims

Journal of Human-Robot Interaction, Volume 1, Issue 2

Pages 76 - 99

https://doi.org/10.5898/JHRI.1.2.Torta

Published: 28 January 2013 Publication History

Abstract

The near future will see an increasing demand of elder care and a shortage of professional and informal caregivers. In this context, ageing societies would benefit from the design of intelligent homes that provide assistance. The choice of interfaces between the assistive environment and the user is of great importance and determines the degree of user acceptance of this technology. Socially assistive robots are one of the most promising interfaces. Their embodiment and multimodal communication channels could potentially provide a large number of services that otherwise would have to be carried out by a variety of dedicated systems. Furthermore, evidence suggests that people perceive robots more as companions and social actors than tools and this is likely to steer user acceptance positively. This paper presents the authors' work related to the EU-FP7 project KSERA, a project that aims at introducing a socially assistive robot that acts as a proactive communication interface in smart home environments. In particular, it gives an overview of (1) human--robot interaction studies conducted in Eindhoven (The Netherlands) whose general aim was to preliminary assess the added value of socially assistive robots in intelligent homes and (2) the KSERA project field trials in Schwechat (Vienna) and Tel Aviv (Israel) that tested an integrated smart-home/robot system with real end users (N=16) in three real-world scenarios. Overall, results show that socially assistive robots positively affect user experience and motivation compared to standard smart environment interfaces such as touch screens. However, people still tend to prefer conventional interfaces for receiving information.

References

[1]

Andric, M., & Small, S. L. (2012). Gesture's neural language. Frontiers in Psychology.

[2]

Bakhtin, Y., & Correll, J. (2012). A neural computation model for decision-making times. Journal of Mathematical Psychology.

[3]

Banks, M., Willoughby, L. M., & Banks, W. (2008). Animal--assisted therapy and loneliness in nursing homes: Use of robotic versus living dogs. Journal of the American Medical Directors Association, 9(3), 173--177

[4]

Bartneck, C., Kulić, D., Croft, E., & Zoghbi, S. (2009). Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots. International Journal of Social Robotics, 1, 71--81

[5]

Beer, J. M., Smarr, C.-A., Chen, T. L., Prakash, A., Mitzner, T. L., Kemp, C. C., et al. (2012). The domesticated robot: design guidelines for assisting older adults to age in place. In Proceedings of the ACM/IEEE Seventh Annual International Conference on Human-Robot Interaction (pp. 335--342, ). New York, NY, USA: ACM.

Digital Library

[6]

Bemelmans, R., Gelderblom, G. J., Jonker, P., & Witte, L. de. (2012). Socially Assistive Robots in Elderly Care: A Systematic Review into Effects and Effectiveness. Journal of the American Medical Directors Association, 13(2), 114--120

[7]

Beu, A., Honold, P., & Yuan, X. (2000). How to build up an infrastructure for intercultural usability engineering. The International Journal of Human--Computer Interaction, 12, 347--358

[8]

Bremner, J., Frost, A., Haub, C., Mather, M., Ringheim, K., & Zuehlke, E. (2010). World population highlights: Key findings from PRB's 2010 world population data sheet. Population Bulletin, 65(2).

[9]

Broekens, J., Heerink, M., & Rosendal, H. (2009). Assistive social robots in elderly care: A review. Journal of Gerontechnology, 8(2), 94--103

[10]

Carone, G., & Costello, D. (2006). Can Europe Afford to Grow Old? International Monetary Fund Finance and Development Magazine.

[11]

Cesta, A., Cortellessa, G., Giuliani, V., Pecora, F., Rasconi, R., Scopelliti, M., et al. (2007). Proactive Assistive Technology: An Empirical Study. In C. Baranauskas, P. Palanque, J. Abascal, & S. Barbosa (Eds.), Human--Computer Interaction. INTERACT 2007 (Vol. 4662, p. 255--268 ). Berlin / Heidelberg: Springer.

Digital Library

[12]

Dautenhahn, K. (2007). Socially intelligent robots: dimensions of human--robot interaction. Philosophical Transactions of the Royal Society B: Biological Sciences, 362(1480), 679--704

[13]

Day, D., & Evers, V. (1997). The role of culture in interface acceptance. Human Computer Interaction, INTERACT'97.

Digital Library

[14]

Day, D., & Evers, V. (1999). Questionnaire development for multicultural data collection.

[15]

Feil-Seifer, D., & Mataric, M. (2005). Defining socially assistive robotics. In 9th International Conference on Rehabilitation Robotics. ICORR 2005. (pp. 465--468, ).

[16]

Fogg, B. J. (2003). Persuasive technology: Using computers to change what we think and do (Vol. 18) (No. 1). Morgan Kaufmann Publishers.

Digital Library

[17]

Friedman, B., Kahn, P. H., Jr., & Hagman, J. (2003). Hardware companions?: what online aibo discussion forums reveal about the human-robotic relationship. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 273--280, ). New York, NY, USA: ACM.

Digital Library

[18]

Hewitt, P. (2002). Depopulation and Ageing in Europe and Japan: The Hazardous Transition to a Labor Shortage Economy. Internationale Politik und Gesellschaft, Part 1, 111 --120.

[19]

Huettenrauch, H., Eklundh, K., Green, A., & Topp, E. (2006). Investigating Spatial Relationships in Human--Robot Interaction. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 (pp. 5052--5059, ).

[20]

Huijnen, C., Badii, A., Heuvel, H. van den, Caleb-Solly, P., & Thiemert, D. (2011). "Maybe It Becomes a Buddy, But Do Not Call It a Robot" -- Seamless Cooperation between Companion Robotics and Smart Homes. In D. Keyson et al. (Eds.), Ambient Intelligence (Vol. 7040, pp. 324--329, ). Berlin / Heidelberg: Springer.

Digital Library

[21]

Jan, D., Chance, E., Rajpurohit, D., DeVault, D., Leuski, A., Morie, J., et al. (2011). Checkpoint Exercise: Training with Virtual Actors in Virtual Worlds. In H. Vilhjálmsson, S. Kopp, S. Marsella, & K. Thórisson (Eds.), Intelligent Virtual Agents (Vol. 6895, pp. 453--454, ). Berlin / Heidelberg: Springer.

Digital Library

[22]

Kahn, J. P. H., Kanda, T., Ishiguro, H., Gill, B. T., Ruckert, J. H., Shen, S., et al. (2012). Do people hold a humanoid robot morally accountable for the harm it causes? In Proceedings of the Seventh Annual ACM/IEEE International Conference on Human--Robot Interaction (pp. 33--40, ). New York, NY, USA: ACM.

Digital Library

[23]

Kim, E. S., Leyzberg, D., Tsui, K. M., & Scassellati, B. (2009). How people talk when teaching a robot. In Proceedings of the 4th ACM/IEEE international conference on human robot interaction (pp. 23--30, ). New York, NY, USA: ACM.

Digital Library

[24]

Koskela, T., & Väänänen-Vainio-Mattila, K. (2004). Evolution towards smart home environments: empirical evaluation of three user interfaces. Personal and Ubiquitous Computing, 8, 234--240

Digital Library

[25]

Lambert, D. (2004). Body Language. London: Harper Collins.

[26]

Lee, K. M., Peng, W., Jin, S.-A., & Yan, C. (2006). Can robots manifest personality?: An empirical test of personality recognition, social responses, and social presence in human--robot interaction. Journal of Communication, 56(4), 754--772

[27]

Lee, S., Hyungjong, N., Jonghon, L., Kyungsong, L., Geunbae, G., Seongdae, S., et al. (2011). On the effectiveness of robot--assisted language learning. ReCALL, 23(01), 25--58

Digital Library

[28]

Lohse, M., Rohlfing, K., Wrede, B., & Sagerer, G. (2008, may). When users change their discursive behavior in human--robot interaction. In IEEE International Conference on Robotics and Automation. ICRA 2008. (pp. 3481 --3486, ).

[29]

Louloudi, A., Mosallam, A., Marturi, N., Janse, P., & Hernandez, V. (2010). Integration of the humanoid robot Nao inside a smart home: A case study. In Proceedings of the Swedish AI Society Workshop (Vol. 48, pp. 35--44, http://www.ep.liu.se/ecp/048/008/index.en.asp). Linköping University Electronic Press.

[30]

Min Lee, K., Jung, Y., Kim, J., & Kim, S. R. (2006). Are physically embodied social agents better than disembodied social agents?: The effects of physical embodiment, tactile interaction, and people's loneliness in human--robot interaction. International Journal of Human-Computer Studies, 64(10), 962--973

Digital Library

[31]

Mitzner, T. L., Boron, J. B., Fausset, C. B., Adams, A. E., Charness, N., Czaja, S. J., et al. (2010). Older adults talk technology: Technology usage and attitudes. Computers in Human Behavior, 26(6), 1710

Digital Library

[32]

Oberzaucher, J., Werner, F., Lemberger, J., & Werner, K. (2013). KSERA deliverable 5.3: Formative evaluation. to be published in 2013. (Tech. Rep.).

[33]

Pineau, J., Montemerlo, M., Pollack, M., Roy, N., & Thrun, S. (2003). Towards robotic assistants in nursing homes: Challenges and results. Robotics and Autonomous Systems, 42(3--4), 271--281, http://linkinghub.elsevier.com/retrieve/pii/S0921889002003810.

[34]

Pol, D. van der, Cuijpers, R. H., & Juola, J. F. (2011). Head pose estimation for a domestic robot. In Proceedings of the 6th International Conference on Human--Robot Interaction (pp. 277--278, ). New York, NY, USA: ACM.

Digital Library

[35]

Quigley, M., Conley, K., Gerkey, B. P., Faust, J., Foote, T., Leibs, J., et al. (2009). ROS: an open-source robot operating system.

[36]

Reddy, M., Pratt, W., Dourish, P., & Shabot, M. (2003). Sociotechnical Requirements Analysis for Clinical Systems. Methods of Information in Medicine. Methods of Information in Medicine, 42, 437--44, http://ukpmc.ac.uk/abstract/MED/14534647.

[37]

Reeves, B., & Nass, C. (1996). The media equation: how people treat computers, television and new media like real people and places. New York: Cambridge University Press.

Digital Library

[38]

Ruiz, A., Rocon, E., Raya, R., & Pons, J. (2008, may). Coupled control of human-exoskeleton systems: An adaptative process. In Conference on Human System Interactions, 2008 (pp. 242--246, ).

[39]

Scassellati, B. (2005, aug.). Quantitative metrics of social response for autism diagnosis. In IEEE International Workshop on Robot and Human Interactive Communication. ROMAN 2005. (pp. 585--590, ).

[40]

Scassellati, B., Admoni, H., & Mataric, M. (2012). Robots for use in autism research. Annual Review of Biomedical Engineering, 14(1)

[41]

Steg, H., Strese, H., Loroff, C., Hull, J., & Schmidt, S. (2006). Europe is facing a demographic challenge Ambient Assisted Living offers solutions. http://www.aal-europe.eu/Published/reports-etc/Final%20Version.pdf.

[42]

Syrdal, D., Kheng, L. K., Walters, M., & Dautenhahn, K. (2007, aug.). A personalized robot companion? - The role of individual differences on spatial preferences in HRI scenarios. In The 16th IEEE International Symposium on Robot and Human Interactive Communication. RO--MAN 2007. (pp. 1143--1148, ).

[43]

Tapus, A., Matarić, M. J., & Scassellati, B. (2007). The Grand Challenges in Socially Assistive Robotics. Robotics and Automation Magazine, 14(1), 1--7

[44]

Torta, E., Cuijpers, R., Juola, J., & Pol, D. van der. (2011). Design of robust robotic proxemic behaviour. In B. Mutlu, C. Bartneck, J. Ham, V. Evers, & T. Kanda (Eds.), Proceedings of the International Conference on Social Robotics ICSR 2011 (Vol. 7072, pp. 21--30, ). Berlin / Heidelberg: Springer.

Digital Library

[45]

Torta, E., Cuijpers, R., Juola, J., & Pol, D. van der. (2012). Modelling and testing proxemic behaviour for humanoid robots. International Journal of Humanoid Robotics

[46]

Torta, E., Heumen, J. van, Cuijpers, R., & Juola, J. (2012). How can a robot attract the attention of its human partner? a comparative study over different modalities for attracting attention (in press). In Proceedings of the international conference on social robotics ICSR2012 (Vol. 7621, p. 288--297 ). Berlin / Heidelberg: Springer.

Digital Library

[47]

Vanhooydonck, D., Demeester, E., Hantemann, A., Philips, J., Vanacker, G., Van Brussel, H., et al. (2010). Adaptable navigational assistance for intelligent wheelchairs by means of an implicit personalized user model. Robotics and Autonomous Systems, 58(8), 963--977

Digital Library

[48]

Vatrapu, R., & Pérez-Quiñones, M. A. (2006). Questionnaire development for multicultural data collection. Journal of Usability Studies, 1, 156--170.

Digital Library

[49]

Wada, K., & Shibata, T. (2007). Living with seal robots; Its sociopsychological and physiological influences on the elderly at a care house. IEEE Transactions on Robotics, 23(5), 972--980

Digital Library

[50]

Walters, M., Dautenhahn, K., Boekhorst, R., Koay, K., Syrdal, D., & Nehaniv, C. (2009). An empirical framework for human-robot proxemics. In Proceedings of the symposium on new frontiers in human-robot interaction AISB2009. Edinburgh, Scottland. (p. 8--9). Citeseer.

[51]

Yan, W., Torta, E., Pol, D. v. d., Meins, N., Weber, C., Cuijpers, R., et al. (2012). Learning robot vision in ambient homes (in press). In In josé garcía-rodríguez and miguel cazorla (eds.), robotic vision: Technologies for machine learning and vision applications (pp. 257--281, ). IGI Global.

[52]

Yan, W., Weber, C., & Wermter, S. (2011, August). A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera. Journal of Ambient Intelligence and Smart Environments, 3(3), 237--252, http://dl.acm.org/citation.cfm?id=2010465.2010469.

Digital Library

[53]

Yu, K.-T., Lam, C.-P., Chang, M.-F., Mou, W.-H., Tseng, S.-H., & Fu, L.-C. (2010, oct.). An interactive robotic walker for assisting elderly mobility in senior care unit. In IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), 2010 (pp. 24--29, ).

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cover image Journal of Human-Robot Interaction

Journal of Human-Robot Interaction Volume 1, Issue 2

Special Issue on HRI Perspectives and Projects from around the Globe

January 2013

199 pages

EISSN:2163-0364

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Journal of Human-Robot Interaction Steering Committee

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Published: 28 January 2013

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https://dl.acm.org/doi/10.1145/3568294.3579952
Steinhaeusser SGabel JLugrin BBethel CPaiva ABroadbent EFeil-Seifer DSzafir D(2021)Your New Friend NAO vs. Robot No. 783 - Effects of Personal or Impersonal Framing in a Robotic Storytelling Use CaseCompanion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3434074.3447187(334-338)Online publication date: 8-Mar-2021
https://dl.acm.org/doi/10.1145/3434074.3447187
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