Individual difference predictors of ICT use in older adulthood: A study of 17 candidate characteristics

Abstract Given the benefits of information and communication technology (ICT) use in older adulthood, a natural question is which individual difference characteristics predict ICT use and adoption. Research has provided mixed findings drawn from studies that generally focus on a narrow set of ICTs, a narrow set of individual difference constructs, and younger adults. Using data from the 2012 wave of the Health and Retirement Study, we examined 17 individual difference predictors of ICT use among older adults. Need for cognition, perceived mastery, and optimism positively predicted ICT use after controlling for all the constructs simultaneously; cynical hostility also emerged as a negative predictor of ICT use. Further, viewing more benefits of ICT use explained why those high in need for cognition used more ICTs. Directions for future research include examining the processes that link individual differences to ICT use and its subsequent benefits during the second half of life.

[1]  S. Croucher,et al.  An examination of the relationships among United States college students' media use habits, need for cognition, and grade point average , 2014 .

[2]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[3]  Walter W. Cook,et al.  Proposed hostility and Pharisaic-virtue scales for the MMPI. , 1954 .

[4]  A. Vishwanath Impact of personality on technology adoption: An empirical model , 2005, J. Assoc. Inf. Sci. Technol..

[5]  Monica Anderson and Andrew Perrin Tech Adoption Climbs Among Older Adults , 2017 .

[6]  Michael W. Bridges,et al.  Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): a reevaluation of the Life Orientation Test. , 1994, Journal of personality and social psychology.

[7]  Sajay Arthanat,et al.  "Who over 65 is online?" Older adults' dispositions toward information communication technology , 2015, Comput. Hum. Behav..

[8]  H. Bosworth,et al.  Hostility in Marital Dyads: Associations with Depressive Symptoms , 2000, Journal of Behavioral Medicine.

[9]  Amanda Sonnega,et al.  Cohort Profile: the Health and Retirement Study (HRS). , 2014, International journal of epidemiology.

[10]  S. Cotten,et al.  Impact of Internet Use on Loneliness and Contact with Others Among Older Adults: Cross-Sectional Analysis , 2013, Journal of medical Internet research.

[11]  M P Lawton,et al.  The Philadelphia Geriatric Center Morale Scale: a revision. , 1975, Journal of gerontology.

[12]  Shelia R. Cotten,et al.  Internet use and depression among older adults , 2012, Comput. Hum. Behav..

[13]  U. Siebert,et al.  Impact of social support, cynical hostility and anger expression on progression of coronary atherosclerosis. , 2000, Journal of the American College of Cardiology.

[14]  K. Bollen,et al.  The structure of the Philadelphia Geriatric Center Morale scale: a reinterpretation. , 1983, Journal of gerontology.

[15]  S. Srivastava,et al.  Personality Processes and Individual Differences Optimism in Close Relationships: How Seeing Things in a Positive Light Makes Them So , 2022 .

[16]  Ben-Tzion Karsh,et al.  Review Paper: A Systematic Review of Patient Acceptance of Consumer Health Information Technology , 2009, J. Am. Medical Informatics Assoc..

[17]  C. Spielberger,et al.  Factor Structure of the State-Trait Anger Expression Inventory for Middle-Aged Men and Women , 1998, Assessment.

[18]  David Watson,et al.  The PANAS-X manual for the positive and negative affect schedule , 1994 .

[19]  Yair Amichai-Hamburger,et al.  The effects of need for cognition on Internet use , 2007, Comput. Hum. Behav..

[20]  Corey L. Cook,et al.  Harry Potter and the measures of personality: Extraverted Gryffindors, agreeable Hufflepuffs, clever Ravenclaws, and manipulative Slytherins , 2015 .

[21]  J. Cacioppo,et al.  The need for cognition. , 1982 .

[22]  R. L. Babcock,et al.  Computer anxiety in young and older adults: Implications for human-computer interactions in older populations , 1997 .

[23]  Margie E. Lachman,et al.  The sense of control as a moderator of social class differences in health and well-being. , 1998 .

[24]  A. Chan,et al.  A review of technology acceptance by older adults , 2011 .

[25]  N. Charness,et al.  Factors Predicting the Use of Technology: Findings From the Center for Research and Education on Aging and Technology Enhancement (CREATE) , 2006 .

[26]  Yair Amichai-Hamburger,et al.  The effects of Need for Cognition on Internet use revisited , 2008, Comput. Hum. Behav..

[27]  Gloria Mark,et al.  Personality and Internet usage: A large-scale representative study of young adults , 2014, Comput. Hum. Behav..

[28]  Volkan Özbek,et al.  The Impact of Personality on Technology Acceptance: A Study on Smart Phone Users , 2014 .

[29]  Niels G. Waller,et al.  Exploring personality through test construction: Development of the multidimensional personality questionnaire , 2008 .

[30]  Jacqui Smith,et al.  Self-perceptions of Aging: Do Subjective Age and Satisfaction with Aging Change during Old Age? Subjective Age Satisfaction with Aging , 2022 .

[31]  A. Furnham,et al.  Need for Cognition Its Dimensionality and Personality and Intelligence Correlates , 2013 .

[32]  M. Lachman Perceived Control Over Aging-Related Declines , 2006 .

[33]  Joar Vittersø,et al.  Personality and technology acceptance: the influence of personality factors on the core constructs of the Technology Acceptance Model , 2013, Behav. Inf. Technol..

[34]  Ronald W. Berkowsky,et al.  You Can Teach an Old Dog New Tricks , 2013, Journal of applied gerontology : the official journal of the Southern Gerontological Society.

[35]  Peter Hills,et al.  Uses of the Internet and their relationships with individual differences in personality , 2003, Comput. Hum. Behav..

[36]  A. Hayes Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach , 2013 .

[37]  Mark Batey,et al.  A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage , 2012, Comput. Hum. Behav..

[38]  A. Beck,et al.  An inventory for measuring clinical anxiety: psychometric properties. , 1988, Journal of consulting and clinical psychology.

[39]  P. Costa,et al.  Cynicism and paranoid alienation in the Cook and Medley HO Scale. , 1986, Psychosomatic medicine.

[40]  Eric S. Kim,et al.  Are people healthier if their partners are more optimistic? The dyadic effect of optimism on health among older adults. , 2014, Journal of psychosomatic research.

[41]  Jacqui Smith,et al.  Linked Lives: Dyadic Associations of Mastery Beliefs With Health (Behavior) and Health (Behavior) Change Among Older Partners , 2016, The journals of gerontology. Series B, Psychological sciences and social sciences.

[42]  Kent Nakamoto,et al.  Health literacy and patient empowerment in health communication: the importance of separating conjoined twins. , 2013, Patient education and counseling.

[43]  F. Infurna,et al.  Childhood Trauma and Personal Mastery: Their Influence on Emotional Reactivity to Everyday Events in a Community Sample of Middle-Aged Adults , 2015, PloS one.

[44]  L. Pearlin,et al.  The structure of coping. , 1978, Journal of health and social behavior.

[45]  Paolo Malighetti,et al.  The impact of University of the Third Age courses on ICT adoption , 2016, Comput. Hum. Behav..

[46]  George S. Ford,et al.  Internet use and depression among retired older adults in the United States: a longitudinal analysis. , 2014, The journals of gerontology. Series B, Psychological sciences and social sciences.

[47]  Josephine M. Mancuso,et al.  Health literacy: a concept/dimensional analysis. , 2008, Nursing & health sciences.

[48]  Anne B. Newman,et al.  Limited literacy and mortality in the elderly , 2006, Journal of General Internal Medicine.

[49]  I. Grant,et al.  Toward a more complete understanding of the effects of personal mastery on cardiometabolic health. , 2011, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[50]  R. V. Rikard,et al.  When It Comes to Depression, ICT Use Matters: A Longitudinal Analysis of the Effect of ICT Use and Mattering on Depression Among Older Adults , 2016, HCI.

[51]  P. Areán,et al.  Psychometric evaluation of the Beck Anxiety Inventory with older medical patients. , 1997 .

[52]  Milena M. Head,et al.  Computer use by older adults: A multi-disciplinary review , 2010, Comput. Hum. Behav..

[53]  William J. Chopik,et al.  The Benefits of Social Technology Use Among Older Adults Are Mediated by Reduced Loneliness , 2016, Cyberpsychology Behav. Soc. Netw..