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A Personal Resource for Technology Interaction: Development and Validation of the Affinity for Technology Interaction (ATI) Scale
Abstract
Successful coping with technology is relevant for mastering daily life. Based on related conceptions, we propose affinity for technology interaction (ATI), defined as the tendency to actively engage in intensive technology interaction, as a key personal resource for coping with technology. We present the 9-item ATI scale, an economical unidimensional scale that assesses ATI as an interaction style rooted in the construct need for cognition (NFC). Results of multiple studies (n > 1500) showed that the scale achieves good to excellent reliability, exhibits expected moderate to high correlations with geekism, technology enthusiasm, NFC, self-reported success in technical problem-solving and technical system learning success, and also with usage of technical systems. Further, correlations of ATI with the Big Five personality dimensions were weak at most. Based on the results, the ATI scale appears to be a promising tool for research applications such as the characterization of user diversity in system usability tests and the construction of general models of user-technology interaction.
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“Additionally, we administered the Afnity for Technology Interaction Scale (ATI) [41] to determine participants' level of comfort and familiarity with technology [120].”
From Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making (2024) · cites this paper as [41]
In the citing paper
“We measured Affinity for Technology Interaction ( α = .92) using the scale from Franke et al. [50], which measures the construct on a 9-item scale.”
From Is FIDO2 the Kingslayer of User Authentication? A Comparative Usability Study of FIDO2 Passwordless Authentication (2020) · cites this paper as Franke et al. [50]
In the citing paper
“On the other hand, the ATI scores, which usually correlate negatively with the age variable, are in our sample comparable to other studies that had a much more diverse age distribution among their participants (e.g., [50]).”
From Is FIDO2 the Kingslayer of User Authentication? A Comparative Usability Study of FIDO2 Passwordless Authentication (2020) · cites this paper as [50]
In the citing paper
“Technical affinity was measured with the Affinity for Technology Interaction Scale (Franke et al., 2019). The questionnaire was answered on a 6-point scale ranging from (1) strongly disagree to (6) strongly agree (Cronbach α = 0.93).”
From Check the box! How to deal with automation bias in AI-based personnel selection (2023) · cites this paper as Franke et al., 2019
In the citing paper
“We used the Affinity for Technology Interaction scale by Franke et al [ 61 ], which consists of 9 items.”
From Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among Dermatologists (2025) · cites this paper as [61]
Citations
Cites
A Rationale and Test for the Number of Factors in Factor Analysis
Horn, J. L. (1965) · Psychometrika · doi:10.1007/bf02289447 · Cited by 8,965
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771
An Introduction to the Five‐Factor Model and Its Applications
McCrae, R. R., & John, O. P. (1992) · Journal of Personality · doi:10.1111/j.1467-6494.1992.tb00970.x · Cited by 6,835
Handbook of industrial and organizational psychology
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5278 · Cited by 5,483
Cacioppo, J. T., & Petty, R. E. (1982) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.42.1.116 · Cited by 5,359
Rammstedt, B., & John, O. P. (2007) · Journal of Research in Personality · doi:10.1016/j.jrp.2006.02.001 · Cited by 4,244 · cited 5×
“The 10-item BFI-10 (Rammstedt & John, 2007) was used to assess the Big Five personality dimensions openness, conscientiousness, extraversion, agreeableness, and neuroticism (Attig & Franke, 2017).”
MethodInfluentialConducting behavioral research on Amazon’s Mechanical Turk
Mason, W., & Suri, S. (2012) · Behavior Research Methods · doi:10.3758/s13428-011-0124-6 · Cited by 3,172
Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis
Hayton, J. C., Allen, D. G., & Scarpello, V. (2004) · Organizational Research Methods · doi:10.1177/1094428104263675 · Cited by 3,104
eHealth Literacy: Essential Skills for Consumer Health in a Networked World.
Norman, C. D., & Skinner, H. A. (2006) · Journal of Medical Internet Research · doi:10.2196/jmir.8.2.e9 · Cited by 2,643
Cacioppo, J. T., Petty, R. E., Feinstein, J. A., & Jarvis, W. B. G. (1996) · Psychological Bulletin · doi:10.1037/0033-2909.119.2.197 · Cited by 2,517 · cited 3×
“NFC denotes that individuals differ regarding their tendency to engage in cognitive activities (Cacioppo & Petty, 1982; Cacioppo, Petty, Feinstein, & Jarvis, 1996).”
Background
Research works printed but not linked: 10
- Beier G., 1999, Report Psychologie, 9, 684
- Bless H., 1994, Zeitschrift für Sozialpsychologie, 25, 147
- 10.1037/0033-2909.112.1.155 · DOI · Paper page
- Karp, A. (2017). Untersuchung von Zusammenhängen zwischen Nutzungsmotivationen und Interaktionen mit Fitnessarmbändern [Examining relationships between usage motives and interactions with fitness trackers] (Bachelor’s thesis). Chemnitz University of Technology, Chemnitz, Germany.
- Karrer K., 2009, Der Mensch im Mittelpunkt technischer Systeme. 8. Berliner Werkstatt Mensch-Maschine-Systeme 7. bis 9. Oktober 2009, 196
- Keil, J. (2015). Exploring individual differences in the tendency to fall for the active user paradox (Bachelor’s thesis). University of Twente, Twente, Netherlands.
- Pieritz, S. (2017). Die Wirkung positiver vs. negativer Feedbackdarstellungen im Kontext von Gamification [The effect of positive vs. negative feedback presentations in the context of gamification] (Bachelor’s thesis). Universität zu Lübeck, Lübeck, Germany.
- Schwarze, D. (2017). Framing-effect and eco-driving: The impact on driving behaviour through different portrayals of eco-indicators (Bachelor’s thesis). Universität zu Lübeck, Lübeck, Germany.
- Stöhr, W. (2015). Exploring people’s resistance to the active user paradox including personality traits (Bachelor’s thesis). University of Twente, Twente, Netherlands.
- 10.1504/IJTM.1996.025468 · DOI
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Metadata
- Authors
- Franke, T., Attig, C., & Wessel, D.
- Affiliations
- University of Lübeck (DE)
- Chemnitz University of Technology (DE)
- Corresponding author
- Franke, Thomas
- Venue
- International Journal of Human–Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 2018-03-30
- Volume
- 35
- Issue
- 6
- Pages
- 456-467
- ISSN
- 1044-7318 (ISSN-L)
- 1532-7590
- OpenAlex
- W2794740256
- Cited by
- 828
- References
- 63
- Citations by year
- 2026: 140 · 2025: 172 · 2024: 150 · 2023: 128 · 2022: 101 · 2021: 73 · 2020: 43 · 2019: 15 · 2018: 6
- FWCI
- 63.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Human-Computer Interaction (publishedVersion)
- Funders
- European Social Fund and the Free State of Saxony (100269974)
- Topics
- Social Sciences › Gender Studies › Gender and Technology in Education
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- technology interaction, need for cognition, scale development, technical problem solving, user heterogeneity, Big Five personality traits
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