The Media and Technology Usage and Attitudes Scale: An empirical investigation
Open accessAbstract
Current approaches to measuring people's everyday usage of technology-based media and other computer-related activities have proved to be problematic as they use varied outcome measures, fail to measure behavior in a broad range of technology-related domains and do not take into account recently developed types of technology including smartphones. In the present study, a wide variety of items, covering a range of up-to-date technology and media usage behaviors. Sixty-six items concerning technology and media usage, along with 18 additional items assessing attitudes toward technology, were administered to two independent samples of individuals, comprising 942 participants. Factor analyses were used to create 11 usage subscales representing smartphone usage, general social media usage, Internet searching, e-mailing, media sharing, text messaging, video gaming, online friendships, Facebook friendships, phone calling, and watching television in addition to four attitude-based subscales: positive attitudes, negative attitudes, technological anxiety/dependence, and attitudes toward task-switching. All subscales showed strong reliabilities and relationships between the subscales and pre-existing measures of daily media usage and Internet addiction were as predicted. Given the reliability and validity results, the new Media and Technology Usage and Attitudes Scale was suggested as a method of measuring media and technology involvement across a variety of types of research studies either as a single 60-item scale or any subset of the 15 subscales.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Within academic settings, technological diversions such as text messaging, scrolling, and task switching reduce students' attention span to about 6 minutes.
“Within academic settings, students' concentration is disrupted by technological diversions such as text messaging, scrolling, and the switching between digital tasks on various screens, resulting in a reduction of their attention span to a mere 6 minutes (Rosen, Whaling, Carrier, Cheever, and Rokkum, 2013).”
From SCROLLING AND SUSTAINED ATTENTION: HOW SOCIAL MEDIA INFLUENCE SUSTAINED ATTENTION OF HIGH SCHOOL STUDENTS (2024) · cites this paper as Rosen, Whaling, Carrier, Cheever, and Rokkum, 2013
Section 1.3 reports that students and office workers often switched tasks because of technological prompts such as texts, email, or social-network checks. Section 3.4 links a preference for task switching with greater technology use. Neither passage establishes that these diversions reduce students’ attention span to six minutes, or measures that effect in academic settings. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Internet Addiction: The Emergence of a New Clinical Disorder
YOUNG, K. S. (1998) · CyberPsychology & Behavior · doi:10.1089/cpb.1998.1.237 · Cited by 5,513 · see citing works
Internet paradox: A social technology that reduces social involvement and psychological well-being?
Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998) · American Psychologist · doi:10.1037/0003-066x.53.9.1017 · Cited by 4,793 · see citing works
Social capital, self-esteem, and use of online social network sites: A longitudinal analysis.
Steinfield, C., Ellison, N. B., & Lampe, C. (2008) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2008.07.002 · Cited by 1,919 · see citing works
Personality and motivations associated with Facebook use
Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.12.024 · Cited by 1,728 · see citing works
Connection strategies: Social capital implications of Facebook-enabled communication practices
Ellison, N. B., Steinfield, C., & Lampe, C. (2011) · New Media & Society · doi:10.1177/1461444810385389 · Cited by 1,349 · see citing works
"Constant, constant, multi-tasking craziness": managing multiple working spheres
González, V. M., & Mark, G. (2004) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985707 · Cited by 715 · see citing works
Deters, F. G., & Mehl, M. R. (2013) · Social Psychological and Personality Science · doi:10.1177/1948550612469233 · Cited by 523 · see citing works
“Facebook Depression?” Social Networking Site Use and Depression in Older Adolescents
Jelenchick, L. A., Eickhoff, J. C., & Moreno, M. A. (2013) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2012.05.008 · Cited by 445 · see citing works
Narcissism, extraversion and adolescents’ self-presentation on Facebook
Ong, E. Y. L., Ang, R. P., Ho, J. C. M., Lim, J. C. Y., Goh, D. H., Lee, C. S., & Chua, A. Y. K. (2011) · Personality and Individual Differences · doi:10.1016/j.paid.2010.09.022 · Cited by 432 · see citing works
Who does what on Facebook? Age, sex, and relationship status as predictors of Facebook use
McAndrew, F. T., & Jeong, H. S. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.07.007 · Cited by 425 · see citing works
Reich, S. M., Subrahmanyam, K., & Espinoza, G. (2012) · Developmental Psychology · doi:10.1037/a0026980 · Cited by 411 · see citing works
Pea, R., Nass, C., Meheula, L., Rance, M., Kumar, A., Bamford, H., Nass, M., Simha, A., Stillerman, B., Yang, S., et al. (2012) · Developmental Psychology · doi:10.1037/a0027030 · Cited by 375 · cited 4× · see citing works
“…2012; Carrier, Cheever, Rosen, Benitez, & Chang, 2009; Junco, 2013; Kimbrough, Guadagno, Muscanell, & Dill, 2012; Padilla-Walker & Coyne, 2011; Pea et al., 2012; Reich, Subrahmanyam, & Espinoza, 2012; Rideout, Foehr, & Roberts, 2010; Rosen, Carrier, & Cheever, 2013; Rosen, Chang, Erwin,…”
BackgroundInfluentialKarpinski, A. C., Kirschner, P. A., Ozer, I., Mellott, J. A., & Ochwo, P. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.10.011 · Cited by 352 · see citing works
Skues, J. L., Williams, B., & Wise, L. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.07.012 · Cited by 292 · see citing works
Attachment style, social skills, and Facebook use amongst adults
Oldmeadow, J. A., Quinn, S., & Kowert, R. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.10.006 · Cited by 284 · see citing works
Development and validation of a social media use integration scale.
Jenkins-Guarnieri, M. A., Wright, S. L., & Johnson, B. (2013) · Psychology of Popular Media Culture · doi:10.1037/a0030277 · Cited by 273 · see citing works
Relationship between Facebook use and problematic Internet use among college students
Kittinger, R., Correia, C. J., & Irons, J. G. (2012) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2010.0410 · Cited by 177 · see citing works
Why do i keep interrupting myself?: environment, habit and self-interruption
Dabbish, L., Mark, G., & González, V. M. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979405 · Cited by 132 · see citing works
Judd, T., & Kennedy, G. (2011) · Computers & Education · doi:10.1016/j.compedu.2010.10.004 · Cited by 106 · see citing works
Flagged first, then by citations
Research works printed but not linked: 20
- Becker MW Alzahabi R Hopwood CJ Media multitasking is associated with symptoms of depression and social anxiety Cyberpsychology, Behavior, and Social Networking 2012 16 2 132 135 23126438
- Burak L Multitasking in the university classroom International Journal for the Scholarship of Teaching and Learning 2012 6 2 1 12
- Ellison NB Steinfield C Lampe C The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites Journal of Computer-Mediated Communication 2007 12 1143 1168
- Gonzalez VM Mark G Constant, constant, multitasking craziness: Managing multiple working spheres Proceedings of CHI ’04 2004 113 120
- Hunt D Atkin D Krishnan A The influence of computer-mediated communication apprehension on motives for Facebook use Journal of Broadcasting and Electronic Media 2012 56 2 187 202
- Jenkins-Guarnieri MA Wright SL Johnson B The interrelationships among attachment style, personality traits, interpersonal competency, and Facebook use Psychology of Popular Media Culture 2013b http://dx.doi.org/10.1037/a0030946. · DOI
- Johnson GM Internet use and child development: The technomicrosystem Australian Journal of Educational and Developmental Psychology 2010 10 32 43
- Kalpidou M Costin D Morris J The relationship between Facebook and the well-being of undergraduate college students Cyberpsychology, Behavior, and Social Networking 2011 14 4 183 189 21192765
- Kamibeppu K Sugiura H Impact of the mobile phone on junior high-school students’ friendships in the Tokyo metropolitan area CyberPsychology and Behavior 2005 8 2 121 130 15938651
- Kapidzic S Narcissism as a predictor of motivations behind Facebook profile picture selection Cyberpsychology, Behavior, and Social Networking 2013 16 1 14 19 23249240
- Locatelli SM Kluwe K Bryant FB Facebook use and the tendency to ruminate among college students: Testing meditational hypotheses Journal of Educational Computing Research 2012 46 4 377 394
- Lou LL Yan Z Nickerson A McMorris R An examination of the reciprocal relationship of Loneliness and Facebook use among first-year college students Journal of Educational Computing Research 2012 46 1 105 117
- Media Metrix Simultaneous use of PC and television growing rapidly 1999 New York Media Metrix < http://www.mediametrix.com/usa/press/releases/19990712.jsp>.
- Padilla-Walker LM Coyne SM “Turn that thing off!” Parent and adolescent predictors of proactive media monitoring Journal of Adolescence 2011 34 705 715 20943262
- Pempek TA Yermolayeva YA Calvert SL College students’ social networking experiences on Facebook Journal of Applied Developmental Psychology 2009 30 3 227 238
- Phillips CA Rolls S Rouse A Griffiths MD Home video game playing in school children: A study of incidence and patterns of play Journal of Adolescence 1995 18 6 687 691
- Subrahmanyam K Kraut RE Greenfield PM Gross EF The impact of home computer use on children’s activities and development Children and Computer Technology 2000 10 2 123 144 11255703
- Turner JS Croucher SM An examination of the relationships among United States college students’ media use habits, need for cognition, and grade point average Learning, Media and Technology 2013 http://dx.doi.org/10.1080/17439884.2013.777349. · DOI
- Venkatesh V Thong JYT Xu Consumer acceptance and use of information technology: Extending the Unified Theory of Acceptance and Use of Technology MIS Quarterly 2012 36 1 157 178
- Wang Z Tchernev JM The “myth” of media multitasking: Reciprocal dynamics of media multitasking, personal needs, and gratifications Journal of Communication 2012 62 493 513
Cited by
Sorted by citations
Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M., & Primack, B. A. (2016) · Depression and Anxiety · doi:10.1002/da.22466 · Cited by 1,111 · see citing works
Cheever, N. A., Rosen, L. D., Carrier, L. M., & Chavez, A. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.002 · Cited by 589 · see citing works
Self-citationWhat type of content are smartphone users addicted to?: SNS vs. games
Jeong, S.-H., Kim, H., Yum, J.-Y., & Hwang, Y. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.035 · Cited by 500 · see citing works
Shensa, A., Escobar-Viera, C. G., Sidani, J. E., Bowman, N. D., Marshal, M. P., & Primack, B. A. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.03.061 · Cited by 469 · see citing works
Lau, W. W. F. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.043 · Cited by 462 · see citing works
Drouin, M., McDaniel, B. T., Pater, J., & Toscos, T. (2020) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2020.0284 · Cited by 367 · see citing works
Rosen, L. D., Lim, A. F., Felt, J., Carrier, L. M., Cheever, N. A., Lara-Ruiz, J. M., Mendoza, J. S., & Rokkum, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.01.036 · Cited by 358 · see citing works
Self-citationDo smartphone usage scales predict behavior?
Ellis, D. A., Davidson, B. I., Shaw, H., & Geyer, K. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.05.004 · Cited by 326 · see citing works
Grassini, S. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1191628 · Cited by 330 · see citing works
The association between smartphone use, stress, and anxiety: A meta‐analytic review
Vahedi, Z., & Saiphoo, A. (2018) · Stress and Health · doi:10.1002/smi.2805 · Cited by 280 · see citing works
Shanmugasundaram, M., & Tamilarasu, A. (2023) · Frontiers in Cognition · doi:10.3389/fcogn.2023.1203077 · Cited by 291 · see citing works
Barnes, S. J., Pressey, A. D., & Scornavacca, E. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.09.013 · Cited by 200 · see citing works
Ellis, D. A. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.03.006 · Cited by 186 · see citing works
Rosen, L., Carrier, L. M., Miller, A., Rokkum, J., & Ruiz, A. (2016) · Sleep Health · doi:10.1016/j.sleh.2015.11.003 · Cited by 157 · see citing works
Self-citationBoer, M., Stevens, G., Finkenauer, C., & van den Eijnden, R. (2020) · Child Development · doi:10.1111/cdev.13334 · Cited by 157 · see citing works
Trust in artificial intelligence for medical diagnoses
(2020) · Progress in Brain Research · doi:10.1016/bs.pbr.2020.06.006 · Cited by 116 · see citing works
Shata, A., & Hartley, K. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00511-7 · Cited by 127 · see citing works
Mobile gaming and problematic smartphone use: A comparative study between Belgium and Finland
Lopez-Fernandez, O., Männikkö, N., Kääriäinen, M., Griffiths, M. D., & Kuss, D. J. (2018) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.080 · Cited by 109 · see citing works
Yang, H., Wang, J. J., Tng, G. Y. Q., & Yang, S. (2020) · Children · doi:10.3390/children7090148 · Cited by 81 · see citing works
“Social media use A modified version of the Media and Technology Usage and Attitudes Scale [54] was administered to examine participants’ engagement with social networking sites (e.g., Facebook, Instagram, Snapchat, Twitter).”
MethodSmartphone use and academic performance: Correlation or causal relationship?
Baert, S., Vujić, S., Amez, S., Claeskens, M., Daman, T., Maeckelberghe, A., Omey, E., & De Marez, L. (2020) · Kyklos · doi:10.1111/kykl.12214 · Cited by 77 · see citing works
Afifi, T. D., Zamanzadeh, N., Harrison, K., & Acevedo Callejas, M. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2017.12.010 · Cited by 75 · see citing works
Zhang, C., Tang, L., & Liu, Z. (2023) · BMC Psychology · doi:10.1186/s40359-023-01311-2 · Cited by 78 · see citing works
Understanding Older Adults' Participation in Design Workshops
Pradhan, A., Jelen, B., Siek, K. A., Chan, J., & Lazar, A. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376299 · Cited by 75 · see citing works
Borrelli, B., Bartlett, Y. K., Tooley, E., Armitage, C. J., & Wearden, A. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4420 · Cited by 65 · see citing works
“We also used the social media and smartphone usage subscales from the Media and Technology Usage and Attitudes Scale [20].”
MethodSmart Device Use and Perceived Physical and Psychosocial Outcomes among Hong Kong Adolescents
Kwok, S., Lee, P., & Lee, R. (2017) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph14020205 · Cited by 58 · see citing works
Terry, C. A., Mishra, P., & Roseth, C. J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.08.009 · Cited by 53 · see citing works
Fors, P. Q., & Barch, D. M. (2019) · Child Psychiatry & Human Development · doi:10.1007/s10578-019-00892-7 · Cited by 49 · see citing works
Schuman-Olivier, Z., Borodovsky, J. T., Steinkamp, J., Munir, Q., Butler, K., Greene, M. A., Goldblatt, J., Xie, H. Y., & Marsch, L. A. (2018) · Addiction Science & Clinical Practice · doi:10.1186/s13722-018-0122-4 · Cited by 44 · see citing works
Smartphone Use and Academic Performance: First Evidence from Longitudinal Data
Amez, S., Vujic, S., De Marez, L., & Baert, S. (2020) · doi:10.2139/ssrn.3521679 · Cited by 25
A Theory of Media Multitasking Intensity
Zamanzadeh, N. N., & Rice, R. E. (2021) · Journal of Media Psychology · doi:10.1027/1864-1105/a000316 · Cited by 16 · see citing works
Krägeloh, C. U., Melekhov, V., Alyami, M. M., & Medvedev, O. N. (2024) · doi:10.21203/rs.3.rs-4403120/v1 · Cited by 13 · see citing works
Krägeloh, C. U., Melekhov, V., Alyami, M. M., & Medvedev, O. N. (2025) · Current Psychology · doi:10.1007/s12144-025-08009-1 · Cited by 13 · see citing works
Reviewing Speech Input with Audio: Differences between Blind and Sighted Users
Hong, J., Vaing, C., Kacorri, H., & Findlater, L. (2020) · ACM Transactions on Accessible Computing · doi:10.1145/3382039 · Cited by 11 · see citing works
A scoping review of the association between smartphone use and mental health among college students
Jeff, C., Jordan L, K., & Daniel, M. (2020) · International Journal of Depression and Anxiety · doi:10.23937/2643-4059/1710022 · Cited by 3 · see citing works
Rajeswari, N., & Vakkil, M. (2024) · ShodhKosh: Journal of Visual and Performing Arts · doi:10.29121/shodhkosh.v5.i6.2024.1726
- Authors
- Rosen, L. D., Whaling, K., Carrier, L. M., Cheever, N. A., & Rokkum, J.
- Affiliations
- California State University, Dominguez Hills (US)
- Corresponding author
- Rosen, L.D.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 29
- Issue
- 6
- Pages
- 2501-2511
- ISSN
- 0747-5632 (ISSN-L)
- PMC
- PMC4338964
- OpenAlex
- W2144724817
- Cited by
- 788
- References
- 19
- Citations by year
- 2026: 96 · 2025: 106 · 2024: 82 · 2023: 84 · 2022: 82 · 2021: 83 · 2020: 74 · 2019: 48 · 2018: 50 · 2017: 38 · 2016: 19 · 2015: 15 · 2014: 10
- FWCI
- 42.25
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Computers in Human Behavior (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of General Medical Sciences (T34GM008683, R25GM062252)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Gender Studies › Gender and Technology in Education
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Keywords
- attitudes toward technology, smartphone use, social media use, web search, media sharing, text messaging, video gaming, online friendship, television viewing, technology anxiety, technology dependence, task switching, internet addiction, scale development
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review