ABSTRACT
A gender stereotype that has some basis in research is that men are more reluctant to ask for directions than women. We wanted to investigate whether this stereotype applies to technology-related contexts, affecting older adults' abilities to learn new technologies. To explore how help seeking and gender might relate for older adults, we conducted a controlled experiment with 36 individuals, of whom 18 identified as men and 18 identified as women, and observed how often they asked for help when learning new applications. We also conducted post-experiment interviews with participants. We found that although most participants stereotyped older men as being reluctant to ask for help in the interview, the gender difference was minimal in the experiment. Instead, individual differences had a greater effect: older participants took longer to complete tasks and participants with lower technology self-efficacy asked significantly more questions.
Supplemental Material
Available for Download
This folder contains a pdf of the tasks used in the experiment.
- Jeffrey C. Alexander. 2003. The Meanings of Social Life: A Cultural Sociology. New York: Oxford University Press.Google Scholar
- Kristine M. Baber and Corinna Jenkins Tucker. 2006. The social roles questionnaire: A new approach to measuring attitudes toward gender. Sex Roles 54 (7--8), 459--467. DOI: 10.1007/s11199-006--9018-yGoogle Scholar
- Laura Beckwith, Margaret Burnett, Valentina Grigoreanu, and Susan Wiedenbeck. 2006. Gender HCI: What about the software? Computer 39 (11), 97--101. DOI: 10.1109/MC.2006.382Google ScholarDigital Library
- Namkee G. Choi and Diana M. Dinitto. 2013. Internet use among older adults: Association with health needs, psychological capital, and social capital. Journal of Medical Internet Research 15 (5), 1--27. DOI: 10.2196/jmir.2333Google ScholarCross Ref
- Siew Lian Chua, Der Thanq Chen, and Angela F. L. Wong. 1999. Computer anxiety and its correlates: A meta-analysis. Computers in Human Behavior 15 (5), 609--623. DOI: 10.1016/S0747--5632(99)00039--4Google ScholarCross Ref
- Teresa Ciabattari. 2001. Changes in men's conservative gender ideologies: Cohort and period influences. Gender & Society 15 (4), 574--591. DOI: 10.1177/089124301015004005Google ScholarCross Ref
- Jacob Cohen. 1988. Statistical Power Analysis for the Behavioral Sciences. New York: Routledge. DOI: 10.4324/9780203771587Google Scholar
- Anne M. Colley, Matthew T. Gale, and Teri A. Harris. 1994. Effects of gender role identity and experience on computer attitude components. Journal of Educational Computing Research 10 (2), 129--137. DOI: doi.org/10.2190/8NA7-DAEY-GM8P-EUN5Google ScholarCross Ref
- Joel Cooper. 2006. The digital divide: The special case of gender. Journal of Computer Assisted Learning 22 (5), 320--334. DOI: 10.1111/j.1365--2729.2006.00185.xGoogle ScholarCross Ref
- Alexander J.A.M. van Deursen and Ellen J. Helsper. 2015. A nuanced understanding of Internet use and non-use among the elderly. European Journal of Communication 30 (2), 171--187. DOI: 10.1177/0267323115578059Google ScholarCross Ref
- Glen H. Elder Jr. and Richard C. Rockwell. 1979. The life-course and human development: An ecological perspective. International Journal of Behavioral Development 2 (1), 1--21. DOI: 10.1177/016502547900200101Google ScholarCross Ref
- Rachel L. Franz, Ron Baecker, and Khai N. Truong. 2018. "I knew that, I was just testing you": Understanding older adults' impression management tactics during usability studies. ACM Transactions on Accessible Computing 11 (3), 1--23. DOI: 10.1145/3226115Google ScholarDigital Library
- Rachel L. Franz and Barbara Barbosa Neves. 2019. Usability is ageless: Conducting usability tests with older adults. In Barbara Barbosa Neves and Frank Vetere (eds.), Ageing and Digital Technology: Designing and Evaluating Emerging Technologies for Older Adults. Singapore: Springer. DOI: 10.1007/978--981--13--3693--5Google Scholar
- Rachel L. Franz, Barbara Barbosa Neves, Carrie Demmans Epp, Ron Baecker, and Jacob O. Wobbrock. 2019. Why and How Think-Alouds with Frail Older Adults Fail: Recommendations from a Study and Expert Interviews. In Sergio Sayago (ed.), Perspectives on Human-Computer Interaction Research With Older People. Springer. DOI: 10.1007/978--3-030-06076--3Google Scholar
- Erving Goffman. 1959. The Presentation of Self in Everyday Life. New York: Anchor Books. ISBN: 978-0--14-013571--8Google Scholar
- Nancy Gourash. 1978. Help-seeking: A review of the literature. American Journal of Community Psychology 6 (5), 413--423. DOI: 10.1007/BF00941418Google ScholarCross Ref
- Claire M. Hart, Timothy D. Ritchie, Erica G. Hepper, and Jochen E. Gebauer. 2015. The Balanced Inventory of Desirable Responding Short Form (BIDR-16). SAGE Open 5 (4). DOI: 10.1177/2158244015621113Google Scholar
- Baqar A. Husaini, Stephen T. Moore, and Van A. Cain. 1994. Psychiatric symptoms and help-seeking behavior among the elderly: An analysis of racial and gender differences. Journal of Gerontological Social Work 21 (3--4), 177--196. DOI: 10.1300/J083V21N03_12Google Scholar
- Os Keyes. 2018. The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition. Proceedings of the ACM on Human-Computer Interaction - CSCW (2), 1--22. DOI: 10.1145/3274357Google ScholarDigital Library
- Jeehoon Kim, Hee Yun Lee, M. Candace Christensen, and Joseph R. Merighi. 2017. Technology access and use, and their associations with social engagement among older adults: Do women and men differ? Journals of Gerontology - Series B Psychological Sciences and Social Sciences 72 (5), 836--845. DOI: 10.1093/geronb/gbw123Google Scholar
- Kate Laver, Stacey George, Julie Ratcliffe, and Maria Crotty. 2012. Measuring technology self efficacy: Reliability and construct validity of a modified computer self efficacy scale in a clinical rehabilitation setting. Disability and Rehabilitation 34 (3), 220--227. DOI: 10.3109/09638288.2011.593682Google ScholarCross Ref
- Eckhard Limpert, Werner A Stahel, and Markus Abbt. 2001. Log-normal distributions across the sciences: Keys and clues. BioScience 51 (5), 341--352. DOI: 10.1641/0006--3568(2001)051[0341:LNDATS]2.0.CO;2Google ScholarCross Ref
- Linda L. Lindsey. 2005. Gender Roles: A Sociological Perspective. New Jersey: Prentice Hall.Google Scholar
- Patricia Passuth Lynott and N. Jane McCandless. 2000. The impact of age vs. life experience on the gender role attitudes of women in different cohorts. Journal of Women & Aging 12 (1--2), 5--21. DOI: 10.1300/J074v12n01_02Google Scholar
- Daniel L. Murman. 2015. The impact of age on cognition. Seminars in Hearing 36 (3), 111--121. DOI: 10.1055/s-0035--1555115Google ScholarCross Ref
- Sharon Nelson-Le Gall. 1985. Help-seeking behavior in learning. Review of Research in Education 12. 55--90. DOI: 10.2307/1167146Google Scholar
- Amy Ogan, Erin Walker, Ryan Baker, Maria Mercedes T. Rodrigo, Jose Carlo Soriano, and Maynor Jimenez Castro. 2015. Towards understanding how to assess help-seeking behavior across cultures. International Journal of Artificial Intelligence in Education 25 (2), 229--248. DOI: 10.1007/s40593-014-0034--8Google ScholarCross Ref
- Christine A. Padesky and Constance L. Hammen. 1981. Sex differences in depressive symptom expression and help-seeking among college students. Sex Roles 7 (3), 309--320. DOI: 10.1007/BF00287545Google ScholarCross Ref
- Barbara J. Risman and Georgiann Davis. 2013. From sex roles to gender structure. Current Sociology 61 (5--6), 733--755. DOI: 10.1177/0011392113479315Google Scholar
- L.D. Rosen, K. Whaling, L.M. Carrier, N.A. Cheever, and J. Rokkum. 2013. The media and technology usage and attitudes scale: An empirical investigation. Computers in Human Behavior 29 (6), 2501--2511. DOI: 10.1016/j.chb.2013.06.006Google ScholarDigital Library
- J.C. van Swieten, P.J. Koudstaal, M.C. Visser, H.J.A. Schouten, and J. van Gijn. 1988. Interobserver agreement for the assessment of handicap in stroke patients. Stroke 19 (5), 604--607.Google ScholarCross Ref
- Fred Tudiver and Yves Talbot. 1999. Why don't men seek help? Family physicians' perspectives on help-seeking behavior in men. The Journal of Family Practice 48 (1), 47--52.Google Scholar
- John Vines, Gary Pritchard, Peter Wright, Patrick Olivier, and Katie Brittain. 2015. An age-old problem: Examining the discourses of ageing in HCI and strategies for future research. ACM Transactions on Computer-Human Interaction (TOCHI) 22 (1), 1--27. DOI: 10.1145/2696867Google ScholarDigital Library
- Kerryellen G. Vroman, Sajay Arthanat, and Catherine Lysack. 2015. "Who over 65 is online?" Older adults' dispositions toward information communication technology. Computers in Human Behavior 43. 156--166. DOI: 10.1016/j.chb.2014.10.018Google ScholarDigital Library
- Candace West and Don H. Zimmerman. 1987. Doing Gender. Gender 1 (2), 125--151. DOI: 10.1177/0891243287001002002Google ScholarCross Ref
- World Health Organization. 2014. Gender, women and health: What do we mean by "sex" and "gender." Geneva (CH): WHO. https://www.who.int/gender-equity-rights/en/Google Scholar
Index Terms
- Gender and Help Seeking by Older Adults When Learning New Technologies
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