Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article
Open access

Age Difference in Perceived Ease of Use, Curiosity, and Implicit Negative Attitude toward Robots

Published: 03 June 2019 Publication History

Abstract

Understanding older adults’ attitudes toward robots has become increasingly important as robots have been introduced in various settings, such as retirement homes. We investigated whether there are age differences in both implicit and explicit attitudes toward robots after interacting with an assistive robot. Twenty-four younger and 24 older adults were recruited. Explicit attitudes were measured by self-reported questionnaires both before and after interacting with the robot. State curiosity toward robots was also measured as a momentary form of explicit attitude. Implicit attitude was measured via an implicit association test. Our results showed that (1) both older and younger adults had more positive explicit attitudes toward robots after interaction; (2) older adults had lower state curiosity than younger adults, however, their state curiosity would be up to the same level as younger adults when they perceived the robot with higher levels of personal association; and (3) the implicit association between robots and negative words was stronger for older adults than younger adults, suggesting that older adults had more implicit negative attitude toward robots. The results suggest that, despite older adults’ relatively more negative implicit attitude toward robots, personally relevant positive experiences could help improve their explicit attitudes toward robots.

References

[1]
Yi-Yin Lin and Chin-Shan Huang. 2015. Aging in Taiwan: Building a society for active aging and aging in place. The Gerontologist 56, 2 (2015), 176--183.
[2]
Marcel Heerink, Ben Kröse, Bob Wielinga, and Vanessa Evers. 2006. Studying the acceptance of a robotic agent by elderly users. Int. J. Assistive Rob. Mechatron. 7, 3 (2006) 33--43.
[3]
Yvonne Barnard, Mike D. Bradley, Frances Hodgson, and Ashley D. Lloyd. 2013. Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability. Comput. Hum. Behav. 29, 4 (2013), 1715--1724.
[4]
Anthony G. Greenwald and Mahzarin R. Banaji. 1995. Implicit social cognition: Attitudes, self-esteem, and stereotypes. Psychol. Rev. 102, 1 (1995), 4--27.
[5]
Brian A. Nosek. 2007. Implicit--explicit relations. Curr. Directions Psychol. Sci. 16, 2 (2007), 65--69.
[6]
John F. Dovidio, Kerry Kawakami, and Samuel L. Gaertner. 2002. Implicit and explicit prejudice and interracial interaction. J. Personality Social Psychol. 82, 1 (2002), 62--68.
[7]
Marcel Heerink, Ben Kröse, Vanessa Evers, and Bob Wielinga. 2010. Assessing acceptance of assistive social agent technology by older adults: The Almere model. Int. J. Social Rob. 2, 4 (2010), 361--375.
[8]
Hee-dong Yang and Youngjin Yoo. 2004. It's all about attitude: Revisiting the technology acceptance model. Decis. Support Syst. 38, 1 (2004), 19--31.
[9]
Rebecca Q. Stafford, Bruce A. MacDonald, Chandimal Jayawardena, Daniel M. Wegner, and Elizabeth Broadbent. 2014. Does the robot have a mind? Mind perception and attitudes towards robots predict use of an eldercare robot. Int. J. Social Rob. 6, 1 (2014), 17--32.
[10]
Marcel Heerink, Ben Kröse, Bob Wielinga, and Vanessa Evers. Enjoyment intention to use and actual use of a conversational robot by elderly people. In Proceedings of the 3rd ACM/IEEE International Conference on Human Robot Interaction. ACM, 113--120.
[11]
Jenay M. Beer, Akanksha Prakash, Cory-Ann Smarr, Tiffany L. Chen, Kelsey Hawkins, Hai Nguyen, Travis Deyle, Tracy L. Mitzner, Charles C. Kemp, and Wendy A. Rogers. 2017. Older users’ acceptance of an assistive robot: Attitudinal changes following brief exposure. Gerontechnology 16, 1 (2017), 21--36.
[12]
Tiffany L. Chen, Tapomayukh Bhattacharjee, Jenay M. Beer, Lena H. Ting, Madeleine E. Hackney, Wendy A. Rogers, and Charles C. Kemp. 2017. Older adults’ acceptance of a robot for partner dance-based exercise. PLOS ONE 12, 10 (2017), e0182736.
[13]
I-Han Kuo, Joel M. Rabindran, Elizabeth Broadbent, Yong-In Lee, Ngaire Kerse, Rebecca Stafford, and Bruce A. MacDonald. 2009. Age and gender factors in user acceptance of healthcare robots. In Robot and Human Interactive Communication (ROMAN'09). IEEE, 214--219.
[14]
Marcel Heerink. 2011. Exploring the influence of age, gender, education and computer experience on robot acceptance by older adults. In Proceedings of the 6th International Conference on Human-Robot Interaction. ACM, 147--148.
[15]
Christoph Bartneck, Tomohiro Suzuki, Takayuki Kanda, and Tatsuya Nomura. 2007. The influence of people's culture and prior experiences with Aibo on their attitude towards robots. AI Soc. 21, 1--2 (2007), 217--230.
[16]
Kerstin Dautenhahn, Sarah Woods, Christina Kaouri, Michael L. Walters, Kheng Lee Koay, and Iain Werry. 2005. What is a robot companion-friend, assistant or butler? In Intelligent Robots and Systems (IROS 2005). IEEE, 1192--1197.
[17]
Tatsuya Nomura, Takugo Tasaki, Takayuki Kanda, Masahiro Shiomi, Hiroshi Ishiguro, and Norihiro Hagita. 2007. Questionnaire-based social research on opinions of Japanese visitors for communication robots at an exhibition. AI Soc. 21, 1--2 (2007), 167--183.
[18]
Massimiliano Scopelliti, Maria Vittoria Giuliani, and Ferdinando Fornara. 2005. Robots in a domestic setting: A psychological approach. Universal Access Inf. Soc. 4, 2 (2005), 146--155.
[19]
Takanori Shibata, Kazuyoshi Wada, and Kazuo Tanie. 2004. Subjective evaluation of seal robot in Brunei. In Robot and Human Interactive Communication (ROMAN'04). IEEE, 135--140.
[20]
Neta Ezer, Arthur D. Fisk, and Wendy A. Rogers. 2009. Attitudinal and intentional acceptance of domestic robots by younger and older adults. In International Conference on Universal Access in Human-Computer Interaction. Springer, 39--48.
[21]
Thomas M. Hess, Cassandra M. Germain, Elizabeth L. Swaim, and Nicole L. Osowski. 2009. Aging and selective engagement: The moderating impact of motivation on older adults’ resource utilization. J. Gerontology Ser. B: Psychol. Sci. Social Sci. 64, 4 (2009), 447--456.
[22]
Todd B. Kashdan, Paul Rose, and Frank D. Fincham. 2004. Curiosity and exploration: Facilitating positive subjective experiences and personal growth opportunities. J. Personality Assess. 82, 3 (2004), 291--305.
[23]
Cory-Ann Smarr, Tracy L. Mitzner, Jenay M. Beer, Akanksha Prakash, Tiffany L. Chen, Charles C. Kemp, and Wendy A. Rogers. 2014. Domestic robots for older adults: Attitudes, preferences, and potential. Int. J. Social Rob. 6, 2 (2014), 229--247.
[24]
Robert J. Rydell and Allen R. McConnell. 2006. Understanding implicit and explicit attitude change: A systems of reasoning analysis. J. Personality Social Psychol. 91, 6 (2006), 995--1008.
[25]
Karl F. MacDorman, Sandosh K. Vasudevan, and Chin-Chang Ho. 2009. Does Japan really have robot mania? Comparing attitudes by implicit and explicit measures. AI Soc. 23, 4 (2009), 485--510.
[26]
Leonard M. Giambra, Cameron J. Camp, and Alicia Grodsky. 1992. Curiosity and stimulation seeking across the adult life span: Cross-sectional and 6-to 8-year longitudinal findings. Psychol. Aging 7, 1 (1992), 150--157.
[27]
Stacy J. Priniski, Cameron A. Hecht, and Judith M. Harackiewicz. 2018. Making learning personally meaningful: A new framework for relevance research. J. Exp. Educ. 86, 1 (2018), 11--29.
[28]
United Nations, Department of Economic and Social Affairs, Population Division. 2009. World Population Prospects: The 2008 Revision, Highlights, Working Paper No. ESA/P/WP.210.
[29]
Tatsuya Nomura, Tomohiro Suzuki, Takayuki Kanda, and Kensuke Kato. 2006. Altered attitudes of people toward robots: Investigation through the negative attitudes toward Robots scale. In Proc. AAAI-06 Workshop on Human Implications of Human-Robot Interaction. 29--35.
[30]
Fred D. Davis. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13, 3 (1989), 319--340.
[31]
Fred D. Davis, Richard P. Bagozzi, and Paul R. Warshaw. 1989. User acceptance of computer technology: A comparison of two theoretical models. Manage. Sci. 35, 8 (1989), 982--1003.
[32]
Stefan T. Kamin and Frieder R. Lang. 2013. The subjective technology adaptivity inventory (STAI): A motivational measure of technology usage in old age. Gerontechnology 12, 1 (2013), 16--25.
[33]
Seong-Hee Park, Daniel F. Mahony, Yukyoum Kim, and Young Do Kim. 2015. Curiosity generating advertisements and their impact on sport consumer behavior. Sport Manage. Rev. 18, 3 (2015), 359--369.
[34]
Dag Sverre Syrdal, Kerstin Dautenhahn, Kheng Lee Koay, and Michael L. Walters. 2009. The negative attitudes towards robots scale and reactions to robot behavior in a live human-robot interaction study. In Adaptive and Emergent Behaviour and Complex Systems: Proc. of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AIS '09). SSAISB, 109--115.
[35]
Viswanath Venkatesh and Fred D. Davis. 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Manage. Sci. 46, 2 (2000), 186--204.
[36]
Anthony G. Greenwald, Debbie E. McGhee, and Jordan L. K. Schwartz. 1998. Measuring individual differences in implicit cognition: The implicit association test. J. Personality Social Psychol. 74, 6 (1998), 1464--1480.
[37]
Klaske A. Glashouwer, Fren T. Y. Smulders, Peter J. de Jong, Anne Roefs, and Reinout W. H. J. Wiers. 2013. Measuring automatic associations: Validation of algorithms for the Implicit Association Test (IAT) in a laboratory setting. J. Behav. Ther. Exp. Psychiatry 44, 1 (2013), 105--113.
[38]
Robert B. Zajonc. 1968. Attitudinal effects of mere exposure. J. Personality Social Psychol. 9, 2 (1968), 1--27.
[39]
Çağri Imamoğlu and E. Olcay Imamoğlu. 2006. Relationship between familiarity, attitudes and preferences: Assisted living facilities as compared to nursing homes. Social Indic. Res. 79, 2 (2006), 235--254.
[40]
Tracy L. Mitzner, Cara B. Fausset, Julie B. Boron, Anne E. Adams, Katinka Dijkstra, Chin Chin Lee, Wendy A. Rogers, and Arthur D. Fisk. 2008. Older adults' training preferences for learning to use technology. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 56(26). SAGE Publications, 2047--2051.
[41]
Everett M. Rogers. 2003. Diffusion of Innovations (5th Edition). Free Press, New York, NY.
[42]
Andrew Karpinski and Ross B. Steinman. 2006. The single category implicit association test as a measure of implicit social cognition. J. Personality Social Psychol. 91, 1 (2006), 16--32.
[43]
William A. Cunningham, Kristopher J. Preacher, and Mahzarin R. Banaji. 2001. Implicit attitude measures: Consistency, stability, and convergent validity. Psychol. Sci. 12, 2 (2001), 163--170.
[44]
Frederic F. Brunel, Brian C. Tietje, and Anthony G. Greenwald. 2004. Is the implicit association test a valid and valuable measure of implicit consumer social cognition? J. Consum. Psychol. 14, 4 (2004), 385--404.

Cited By

View all
  • (2025)Metaverse technology acceptance in Indian medical education: An SEM-based empirical investigationLeveraging Metaverse and Analytics of Things (AoT) in Medical Systems10.1016/B978-0-443-24049-2.00012-1(165-188)Online publication date: 2025
  • (2024)A Transparency-Based Action Model Implemented in a Robotic Physical Trainer for Improved HRIACM Transactions on Human-Robot Interaction10.1145/370059814:1(1-19)Online publication date: 30-Oct-2024
  • (2024)Augmenting Human Teams with Robots in Knowledge Work Settings: Insights from the LiteratureACM Transactions on Human-Robot Interaction10.1145/364988413:2(1-34)Online publication date: 14-Jun-2024
  • Show More Cited By

Index Terms

  1. Age Difference in Perceived Ease of Use, Curiosity, and Implicit Negative Attitude toward Robots

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Transactions on Human-Robot Interaction
    ACM Transactions on Human-Robot Interaction  Volume 8, Issue 2
    June 2019
    136 pages
    EISSN:2573-9522
    DOI:10.1145/3339062
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 June 2019
    Accepted: 01 January 2019
    Revised: 01 January 2019
    Received: 01 August 2018
    Published in THRI Volume 8, Issue 2

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Implicit attitude
    2. age differences
    3. curiosity
    4. explicit attitude

    Qualifiers

    • Research-article
    • Research
    • Refereed

    Funding Sources

    • Industrial Technology Research Institute (ITRI) of Taiwan

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)963
    • Downloads (Last 6 weeks)139
    Reflects downloads up to 28 Dec 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2025)Metaverse technology acceptance in Indian medical education: An SEM-based empirical investigationLeveraging Metaverse and Analytics of Things (AoT) in Medical Systems10.1016/B978-0-443-24049-2.00012-1(165-188)Online publication date: 2025
    • (2024)A Transparency-Based Action Model Implemented in a Robotic Physical Trainer for Improved HRIACM Transactions on Human-Robot Interaction10.1145/370059814:1(1-19)Online publication date: 30-Oct-2024
    • (2024)Augmenting Human Teams with Robots in Knowledge Work Settings: Insights from the LiteratureACM Transactions on Human-Robot Interaction10.1145/364988413:2(1-34)Online publication date: 14-Jun-2024
    • (2024)Egg-Laying Robot to Enhance Mind Perception of Children and ParentsCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640614(187-190)Online publication date: 11-Mar-2024
    • (2024)Improving Inclusivity of Digitalization for Employees in Emerging Countries Using GamificationIEEE Transactions on Engineering Management10.1109/TEM.2022.321655371(13867-13881)Online publication date: 2024
    • (2024)A Context-based Design Toolkit (CoDeT) for Socially Assistive Robots (SARs): a methodological approachCoDesign10.1080/15710882.2024.2435606(1-23)Online publication date: 3-Dec-2024
    • (2024)Indirect Media Effects on the Adoption of Artificial Intelligence: The Roles of Perceived and Actual Knowledge in the Influence of Presumed Media Influence ModelJournal of Broadcasting & Electronic Media10.1080/08838151.2024.237724468:4(581-600)Online publication date: 13-Jul-2024
    • (2024)Neuauflage des TAEG Fragebogens: Technikaffinität valide und multidimensional mit einer Kurz- oder Langversion erfassenNew edition of the TAEG questionnaire—Assessing affinity for technology validly and multidimensionally with a short or long versionZeitschrift für Arbeitswissenschaft10.1007/s41449-024-00427-478:3(387-406)Online publication date: 8-Jul-2024
    • (2024)Remote HRI: a Methodology for Maintaining COVID-19 Physical Distancing and Human Interaction Requirements in HRI StudiesInformation Systems Frontiers10.1007/s10796-021-10162-426:1(91-106)Online publication date: 1-Feb-2024
    • (2024)Do we want AI judges? The acceptance of AI judges’ judicial decision-making on moral foundationsAI & SOCIETY10.1007/s00146-024-02121-9Online publication date: 9-Nov-2024
    • Show More Cited By

    View Options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Login options

    Full Access

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media