Self-efficacy support in senior computer interaction

Self-efficacy of seniors could be negatively affected by stress during computer interaction, yet, empirical evidence is lacking. In an experiment, seniors performed tasks on low-and high-complexity search systems. Self-efficacy was manipulated by performance feedback. Results demonstrate that negative feedback increases stress and decreases self-efficacy. Furthermore, positive feedback increases seniors' self-efficacy during computer interaction and a significant effect was found of self-efficacy on stress. Perceived stress increased with decreasing self-efficacy. System complexity influenced self-efficacy; yet, no relation was found between system complexity and stress. To increase self-efficacy and to decrease stress in senior-computer interaction, it is advised to support seniors during computer interaction with positive performance feedback.

[1]  Yvonne de Kort,et al.  Persuasive Technology for Human Well-Being: Setting the Scene , 2006, PERSUASIVE.

[2]  Holger Ursin,et al.  Psychobiology of stress : a study of coping men , 1978 .

[3]  Henk Herman Nap,et al.  Stress in senior computer interaction , 2008 .

[4]  Bo Xie.  Older adults, computers, and the internet: Future directions , 2003 .

[5]  A. Bandura,et al.  Impact of perceived self-efficacy in coping with stressors on components of the immune system. , 1990, Journal of personality and social psychology.

[6]  Jean Claude Marquié,et al.  Do older adults underestimate their actual computer knowledge? , 2002, Behav. Inf. Technol..

[7]  M. Sobel.  Some New Results on Indirect Effects and Their Standard Errors in Covariance Structure Models , 1986 .

[8]  H. M. Sayers,et al.  Desktop virtual environments: a study of navigation and age , 2004, Interact. Comput..

[9]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[10]  Dieter Zapf,et al.  Age differences in reactions to errors in computer-based work , 1997, Behav. Inf. Technol..

[11]  Ben Shneiderman,et al.  A model for computer frustration: the role of instrumental and dispositional factors on incident, session, and post-session frustration and mood , 2006, Comput. Hum. Behav..

[12]  Oscar Mauricio Serrano Jaimes,et al.  EVALUACION DE LA USABILIDAD EN SITIOS WEB, BASADA EN EL ESTANDAR ISO 9241-11 (International Standard (1998) Ergonomic requirements For office work with visual display terminals (VDTs)-Parts II: Guidance on usability , 2012 .

[13]  H. Eriksen,et al.  Subjective health complaints: Is coping more important than control? , 1999 .

[14]  D. Hawthorn,et al.  Possible implications of aging for interface designers , 2000, Interact. Comput..

[15]  A. Bandura.  Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[16]  H. Eriksen,et al.  The cognitive activation theory of stress , 2004, Psychoneuroendocrinology.

[17]  R. Morrell.  Older Adults, Health Information, and the World Wide Web , 2001 .

[18]  Sara J. Czaja,et al.  The impact of aging on access to technology , 2005, ASAC.

[19]  Maria Karavidas,et al.  The effects of computers on older adult users , 2005, Comput. Hum. Behav..

[20]  John T. Cacioppo,et al.  Stress and the aging immune system , 2004, Brain, Behavior, and Immunity.

[21]  R. Lazarus,et al.  Psychological stress and coping in aging. , 1983, The American psychologist.

[22]  Joseph Sharit,et al.  Stress reactions to computer-interactive tasks as a function of task structure and individual differences , 1993, Int. J. Hum. Comput. Interact..

[23]  Kai-Christoph Hamborg,et al.  New Technologies and Stress , 2009 .

[24]  M. Karel,et al.  Aging and depression: vulnerability and stress across adulthood. , 1997, Clinical psychology review.

[25]  Don G. Bouwhuis,et al.  Access for all by cognitive engineering , 2005 .

[26]  J. Teasdale.  Self-efficacy: Toward a unifying theory of behavioural change? , 1978 .

[27]  S. Folkman,et al.  Dynamics of a stressful encounter: cognitive appraisal, coping, and encounter outcomes. , 1986, Journal of personality and social psychology.

[28]  Joseph Sharit,et al.  Factors predicting the use of technology: findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). , 2006, Psychology and aging.

[29]  Lu Wang,et al.  Effect of a Virtual Coach on Athletes' Motivation , 2006, PERSUASIVE.

[30]  Daniel Freudenthal,et al.  Age differences in the performance of information retrieval tasks , 2001, Behav. Inf. Technol..

[31]  M. Sobel.  Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models , 1982 .