Attitudinal Change in Elderly Citizens Toward Social Robots: The Role of Personality Traits and Beliefs About Robot Functionality

Attitudes toward robots influence the tendency to accept or reject robotic devices. Thus it is important to investigate whether and how attitudes toward robots can change. In this pilot study we investigate attitudinal changes in elderly citizens toward a tele-operated robot in relation to three parameters: (i) the information provided about robot functionality, (ii) the number of encounters, (iii) personality type. Fourteen elderly residents at a rehabilitation center participated. Pre-encounter attitudes toward robots, anthropomorphic thinking, and personality were assessed. Thereafter the participants interacted with a tele-operated robot (Telenoid) during their lunch (c. 30 min.) for up to 3 days. Half of the participants were informed that the robot was tele-operated (IC) whilst the other half were naïve to its functioning (UC). Post-encounter assessments of attitudes toward robots and anthropomorphic thinking were undertaken to assess change. Attitudes toward robots were assessed with a new generic 35-items questionnaire (attitudes toward social robots scale: ASOR-5), offering a differentiated conceptualization of the conditions for social interaction. There was no significant difference between the IC and UC groups in attitude change toward robots though trends were observed. Personality was correlated with some tendencies for attitude changes; Extraversion correlated with positive attitude changes to intimate-personal relatedness with the robot (r = 0.619) and to psychological relatedness (r = 0.581) whilst Neuroticism correlated negatively (r = -0.582) with mental relatedness with the robot. The results tentatively suggest that neither information about functionality nor direct repeated encounters are pivotal in changing attitudes toward robots in elderly citizens. This may reflect a cognitive congruence bias where the robot is experienced in congruence with initial attitudes, or it may support action-based explanations of cognitive dissonance reductions, given that robots, unlike computers, are not yet perceived as action targets. Specific personality traits may be indicators of attitude change relating to specific domains of social interaction. Implications and future directions are discussed.

[1]  Ya-Huei Wu,et al.  The Attitudes and Perceptions of Older Adults With Mild Cognitive Impairment Toward an Assistive Robot , 2016, Journal of applied gerontology : the official journal of the Southern Gerontological Society.

[2]  Taezoon Park,et al.  When stereotypes meet robots: The double-edge sword of robot gender and personality in human-robot interaction , 2014, Comput. Hum. Behav..

[3]  H. Ishiguro,et al.  Activating embodied communication: A case study of people with dementia using a teleoperated android robot , 2014 .

[4]  Bruce A. MacDonald,et al.  Older People’s Prior Robot Attitudes Influence Evaluations of a Conversational Robot , 2014, Int. J. Soc. Robotics.

[5]  J. Winter.  Practical Assessment, Research, and Evaluation Practical Assessment, Research, and Evaluation Using the Student's t-test with extremely small sample sizes Using the Student's t-test with extremely small sample sizes , 2022 .

[6]  J. Manyika,et al.  Disruptive technologies: Advances that will transform life, business, and the global economy , 2013 .

[7]  Adriana Tapus,et al.  A model for synthesizing a combined verbal and nonverbal behavior based on personality traits in human-robot interaction , 2013, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[8]  J. D. de Winter.  Using the Student ’ s t-test with extremely small sample sizes , 2013 .

[9]  Shuichi Nishio,et al.  Social Acceptance of a Teleoperated Android: Field Study on Elderly's Engagement with an Embodied Communication Medium in Denmark , 2012, ICSR.

[10]  Manfred Tscheligi,et al.  Studies in Public Places as a Means to Positively Influence People's Attitude towards Robots , 2012, ICSR.

[11]  Gail M. Sullivan,et al.  Using Effect Size-or Why the P Value Is Not Enough. , 2012, Journal of graduate medical education.

[12]  Jenay M. Beer,et al.  Older Adults’ Preferences for and Acceptance of Robot Assistance for Everyday Living Tasks , 2012, Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual Meeting.

[13]  Laurel D. Riek,et al.  Wizard of Oz studies in HRI , 2012, J. Hum. Robot Interact..

[14]  M. Brandon,et al.  Effect personality matching on robot acceptance : effect of robot-user personality matching on the acceptance of domestic assistant robots for elderly , 2012 .

[15]  Marcel Heerink,et al.  Exploring the influence of age, gender, education and computer experience on robot acceptance by older adults , 2011, 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[16]  Bruce A. MacDonald,et al.  Improved robot attitudes and emotions at a retirement home after meeting a robot , 2010, 19th International Symposium in Robot and Human Interactive Communication.

[17]  H. Vankova.  Mini Mental State , 2010 .

[18]  J. Cacioppo,et al.  Who Sees Human? , 2010, Perspectives on psychological science : a journal of the Association for Psychological Science.

[19]  Bruce A. MacDonald,et al.  Age and gender factors in user acceptance of healthcare robots , 2009, RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication.

[20]  Leila Takayama,et al.  Influences on proxemic behaviors in human-robot interaction , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[21]  Arthur D. Fisk,et al.  Attitudinal and Intentional Acceptance of Domestic Robots by Younger and Older Adults , 2009, HCI.

[22]  David M. Amodio,et al.  Chapter 3 Action‐Based Model of Dissonance: A Review, Integration, and Expansion of Conceptions of Cognitive Conflict , 2009 .

[23]  Dana Kulic,et al.  Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots , 2009, Int. J. Soc. Robotics.

[24]  Uta Frith,et al.  Implicit and Explicit Processes in Social Cognition , 2008, Neuron.

[25]  Helvi Kyngäs,et al.  The qualitative content analysis process. , 2008, Journal of advanced nursing.

[26]  Charles R. Crowell,et al.  Robot social presence and gender: Do females view robots differently than males? , 2008, 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[27]  Tatsuya Nomura,et al.  What People Assume about Humanoid and Animal-Type Robots: Cross-Cultural Analysis between Japan, Korea, and the United States , 2008, Int. J. Humanoid Robotics.

[28]  I. René J. A. te Boekhorst,et al.  Avoiding the uncanny valley: robot appearance, personality and consistency of behavior in an attention-seeking home scenario for a robot companion , 2008, Auton. Robots.

[29]  Takayuki Kanda,et al.  Interacting with a human or a humanoid robot? , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[30]  B. Tabachnick,et al.  Using multivariate statistics, 5th ed. , 2007 .

[31]  Kerstin Dautenhahn,et al.  Looking Good? Appearance Preferences and Robot Personality Inferences at Zero Acquaintance , 2007, AAAI Spring Symposium: Multidisciplinary Collaboration for Socially Assistive Robotics.

[32]  K. M. Lee,et al.  Can robots manifest personality? : An empirical test of personality recognition, social responses, and social presence in human-robot interaction , 2006 .

[33]  Tatsuya Nomura,et al.  The influence of people’s culture and prior experiences with Aibo on their attitude towards robots , 2006, AI & SOCIETY.

[34]  H. Rockoff.  On the Origins of , 2006 .

[35]  Tatsuya Nomura,et al.  Experimental investigation into influence of negative attitudes toward robots on human–robot interaction , 2006, AI & SOCIETY.

[36]  T. Kanda,et al.  A cross-cultural study on attitudes towards robots , 2005 .

[37]  Justine Cassell,et al.  Negotiated Collusion: Modeling Social Language and its Relationship Effects in Intelligent Agents , 2003, User Modeling and User-Adapted Interaction.

[38]  Aaron Powers,et al.  Matching robot appearance and behavior to tasks to improve human-robot cooperation , 2003, The 12th IEEE International Workshop on Robot and Human Interactive Communication, 2003. Proceedings. ROMAN 2003..

[39]  H. Luczak,et al.  Let's talk: anthropomorphization as means to cope with stress of interacting with technical devices , 2003, Ergonomics.

[40]  R. McCrae,et al.  The Five-Factor Model of Personality Across Cultures , 2002 .

[41]  R. Feise.  Do multiple outcome measures require p-value adjustment? , 2002, BMC medical research methodology.

[42]  E. Harmon-Jones,et al.  PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN Harmon-Jones, Harmon-Jones / COGNITIVE DISSONANCE MODEL Testing the Action-Based Model of Cognitive Dissonance: The Effect of Action Orientation on Postdecisional Attitudes , 2002 .

[43]  Robert R. McCrae,et al.  NEO-PI-R Data from 36 Cultures , 2002 .

[44]  J. R. Scotti,et al.  Available From , 1973 .

[45]  B. Roberts,et al.  The rank-order consistency of personality traits from childhood to old age: a quantitative review of longitudinal studies. , 2000, Psychological bulletin.

[46]  Ananda Mitra,et al.  Changes in Attitudes toward Computers and Use of Computers by University Faculty. , 1999 .

[47]  R. Petty,et al.  The Role of the Affective and Cognitive Bases of Attitudes in Susceptibility to Affectively and Cognitively Based Persuasion , 1999 .

[48]  K. Dautenhahn,et al.  INVESTIGATING CHILDREN'S ATTITUDES TOWARDS ROBOTS: A CASE STUDY , 1999 .

[49]  S. Czaja,et al.  Age differences in attitudes toward computers. , 1998, The journals of gerontology. Series B, Psychological sciences and social sciences.

[50]  William von Hippel,et al.  Hearts and Minds: The Priority of Affective Versus Cognitive Factors in Person Perception , 1995 .

[51]  Magid Igbaria,et al.  User acceptance of microcomputer technology: An empirical test , 1993 .

[52]  G. Jay,et al.  Influence of direct computer experience on older adults' attitudes toward computers. , 1992, Journal of gerontology.

[53]  P. Costa,et al.  Normal Personality Assessment in Clinical Practice: The NEO Personality Inventory. , 1992 .

[54]  Dragan M. Svrakic,et al.  The Tridimensional Personality Questionnaire: U.S. Normative Data , 1991, Psychological reports.

[55]  K. Edwards,et al.  The Interplay of Affect and Cognition in Attitude Formation and Change , 1990 .

[56]  K J Rothman,et al.  No Adjustments Are Needed for Multiple Comparisons , 1990, Epidemiology.

[57]  F L Cole,et al.  Content Analysis: Process and Application , 1988, Clinical nurse specialist CNS.

[58]  S. Parker,et al.  Origins of Intelligence , 1983, Springer US.

[59]  P. Costa,et al.  Influence of extraversion and neuroticism on subjective well-being: happy and unhappy people. , 1980, Journal of personality and social psychology.

[60]  P. L. Adams.  THE ORIGINS OF INTELLIGENCE IN CHILDREN , 1976 .

[61]  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.