The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“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
Cited by
Sorted by citations
Items 701–800 of 830
Frashëri, E., & Teneqexhi, M. (2025) · Research Square · doi:10.21203/rs.3.rs-7289357/v1
Mišura, K., & Sužnjević, M. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-97763-3_28
Exploring Foot-Operated Input for Desktop Applications
Schönwerth, N., Schmid, A., Wimmer, R., & Henze, N. (2025) · Mensch und Computer (MuC) · doi:10.1145/3743049.3743069
European Users' In-Depth Privacy Concerns with Smartphone Data Collection MHCI038
Bemmann, F., Windl, M., Knobloch, T., & Mayer, S. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3743719 · Cited by 1
Human vs. algorithmic auditors: the impact of entity type and ambiguity on human dishonesty
Protte, M., & Djawadi, B. M. (2025) · Frontiers in Behavioral Economics · doi:10.3389/frbhe.2025.1645749
Rosen, P. H., Wischniewski, S., & Bengler, K. J. (2025) · Zeitschrift für Arbeitswissenschaft · doi:10.1007/s41449-025-00476-3
From Brake Lights to Beyond - Assessing Rear eHMI Designs through a Video-Based Survey
Gu, F., Wang, Z. D., Wang, Z., Sheng, H., & He, D. (2025) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/3744335.3758476
Moll, V. E., Heidinger, J., Schmees, S., Görges, D., & Franke, T. (2026) · Cognition Technology & Work · doi:10.1007/s10111-026-00867-4
Self-citationLammert, O. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-08333-3_11 · Cited by 1
Vitt, V., Mandl, S., Brade, J., Klimant, P., & Strobel, A. (2025) · IFIP advances in information and communication technology · doi:10.1007/978-3-032-05681-8_28
Hennig, A., Veit, M. F., Schmidt-Enke, L., Neusser, F., Herrmann, D., & Mayer, P. B. (2025) · Computers & Security · doi:10.1016/j.cose.2025.104682
Transparenz in der KI-gestützten Markenkommunikation
Schuster, S. K., & Richter, J. (2025) · Essentials · doi:10.1007/978-3-658-49714-9_3
Boadi-Agyemang, A., Schaldenbrand, P., Misra, V., Carter, E. J., Oh, J., & Steinfeld, A. M. (2025) · IEEE RO-MAN · doi:10.1109/ro-man63969.2025.11217674
Stark, A. L., Krayter, S., Albrecht, J., & Dockweiler, C. (2025) · Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen · doi:10.1016/j.zefq.2025.10.002
Legler, F., & Bullinger, A. C. (2025) · Frontiers in Organizational Psychology · doi:10.3389/forgp.2025.1669782
Investigating User Perceptions of Visualising Inferred Sensitive Information as Privacy Avatars
Swienty, L., Panskus, R., Miketta, S., Kircili, B., Cheng, S., & Marky, K. (2025) · International Conference on Mobile and Ubiquitous Multimedia (MUM) · doi:10.1145/3771882.3771889
Human-centered assessment of robotics and exoskeletons in construction industry
Niehaus, S., Erlebach, R., Rosen, P. H., & Wischniewski, S. (2025) · Frontiers in Robotics and AI · doi:10.3389/frobt.2025.1645150
Vona, F., Amer, M., Abdellatif, O., Hallmann, M., Warsinke, M., Mihăiţă, A., & Voigt‐Antons, J. (2025) · ACM Symposium on Virtual Reality Software and Technology (VRST) · doi:10.1145/3756884.3766010
Stark, A. L., Krayter, S., & Dockweiler, C. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1688055
Knowledge, Mental Models, and Trust Regarding AI for Baggage Screening
Staufer, G., Schwaninger, A., & Sterchi, Y. (2025) · IEEE International Carnahan Conference on Security Technology (ICCST) · doi:10.1109/iccst63435.2025.11293871
Attig, C., Winzer, L., Schrills, T., Zoubir, M., Mortaga, M., Wollstadt, P., Wiebel-Herboth, C. B., & Franke, T. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100246 · Cited by 5
Self-citationAdditional file 1 of A bonus task boosts people's willingness to offload cognition to an algorithm
Wahn, B., & Schmitz, L. (2024) · Figshare · doi:10.6084/m9.figshare.26710646
Liebl, S., Tischendorf, T., Winterlich, J., & Schaal, T. K. (2022) · Figshare · doi:10.6084/m9.figshare.19881289
Lachenmayer, F., Höcker, M. C., Günther, M., & Pfnür, A. (2025) · Facilities · doi:10.1108/f-04-2025-0062
Hinterberger, A., Eigl, E.-S., Szeko, A., Topalidis, P. I., & Schabus, M. (2025) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2025.100646 · Cited by 1
Workshop on Socially Aware and Cooperative Intelligent Systems
Chew, J. Y., Sarkisian, A., Wiebel-Herboth, C. B., Attig, C., Zheng, Z., & Nishina, S. (2025) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3765766.3765886
Self-citationHartung, V., Tallner, A., Limbach, M., Schultz, K., & Pfeifer, K. (2026) · Die Rehabilitation · doi:10.1055/a-2705-1784
Defrancesco, M., Schütz, S., Schrezenmeier, L. D., Canazei, M., Dresen, V., Staller, L., Paldán, K., & Doganyigit, B. (2026) · Neuropsychiatrie · doi:10.1007/s40211-025-00569-9
Creating an Augmented Reality-Based Assistant to Support the Toolmaking Process
Schneider, R., Trezl, J., Müller, D., & Klimant, P. (2025) · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · doi:10.1109/metroxraine66377.2025.11340210
Brade, J., Mandl, S., Vitt, V., Klimant, F., Strobel, A., & Dix, M. (2025) · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · doi:10.1109/metroxraine66377.2025.11340247
Kerbl, T., Isildar, T., Alami, Y. E., & Diermeyer, F. (2025) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc58881.2025.11342767
Mertel, M., & Voigt, K.-I. (2026) · European Journal of Information Systems · doi:10.1080/0960085x.2026.2617357 · Cited by 1
Ungar-Sargon, J. Y. (2026) · MOJ Public Health · doi:10.15406/mojph.2026.15.00509
Engelkamp, J. E., Koeder, L.-M., Dalholf, M., Thomas, J. J., Eddy, K. T., & Hartmann, A. S. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1743480
Suciati, S., Silitonga, L. M., & Anggara, A. A. (2026) · SAGE Open · doi:10.1177/21582440261420014
Luther, T., Belcher, K. R., Kimmerle, J., Meurers, D., & Creß, U. (2026) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-026-09470-1 · Cited by 2
Influence of an Innovative HMI for Highly Automated Driving on Trust
Rauh, N., Günther-Gommlich, T., Maas, K.-A., Hollander, C., & Beggiato, M. (2026) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-032-03488-5_6
Spatial Computing und VR/AR im Customer Relationship Management entlang der Customer Journey
Friedmann, J. I. R., & Kiesel, S. (2026) · Springer eBooks · doi:10.1007/978-3-658-46709-8_109-1
Jin, D. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6297826
Fernández‐López, C., Arbeloa, M. C., Pacheco-Ramos, P., Valencia-Soto, C. M., Garrido-Sanchez, L., & Martínez, S. F. (2026) · Farmacia Hospitalaria · doi:10.1016/j.farma.2026.01.005
Moon, D. U., Park, S., Kim, M.-J., Gutwinski, S., Bermpohl, F., Bajbouj, M., Jeon, H. J., & Lütt, A. (2026) · BMC Health Services Research · doi:10.1186/s12913-026-14059-3
Revealing privacy needs during life’s significant transitions
Gibson, R. C., Renaud, K., Moncur, W., Cojuharenco, I., Hu, Z., Morrow, D. B., Wright, L. M., & Hulbert-Williams, N. (2026) · Interacting with Computers · doi:10.1093/iwc/iwag002
Shi, Y., & Bian, H. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2635520
The Impact of AI‐Generated Content on Decision Making for Topics Requiring Expertise
Li, S., Chen, T., & Demartini, G. (2026) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/3410621
Beyond Static Instruction: A Multi-agent AI Framework for Adaptive Augmented Reality Robot Training
Leins, N., Gonnermann-Müller, J., Teichmann, M. R., & Pokutta, S. (2026) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3776734.3794542
Konrad, S., Wijesinghe, N. H., Roesler, E., & Grant, J. B. (2026) · HRI Companion · doi:10.1145/3776734.3794470
Joshi, R., Bengler, K. J., & Augustyniak, J. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-19687-3_8
Pongratz, V., Daiqui, R. L., Zwack-Wandrey, L., & Bengler, K. J. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-19687-3_20
The Role of Gender, Age, and Technology Affinity in Experiencing Techno-Distress and Techno-Eustress
Dauer, L. M., & Nitsch, V. (2026) · Procedia Computer Science · doi:10.1016/j.procs.2026.02.122
König, L. M., Volpi, L., & Koch, T. (2026) · Digital Health · doi:10.1177/20552076261429621 · Cited by 1
Patients’ Perspectives on the Implementation of AI in Radiological Diagnostics: Focus Group Study
Karger, C. R. (2026) · Journal of Medical Internet Research · doi:10.2196/89178 · Cited by 5
Henning, J. C., Hinzmann, S., Vona, F., Amer, M., & Voigt‐Antons, J. (2026) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2026.3679912
Kimmel, S., Sani, M. A., Kaiser, J.-N., Kutter, J., Landwehr, E., & Heuten, W. (2026) · IEEE Conference on Virtual Reality and 3D User Interfaces (VR) · doi:10.1109/vr67842.2026.00038
Hammering Away – Influence of Hammer Weights on Positional Hammering Accuracy in Virtual Reality
Rüppel, J. V., Ruff, C., Hemberger, J., Eichstädt, M., Schmidt, C., Weber, J., Wannopat, P., Brade, J., Melzer, A., & Lorenz, M. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2653730
Barzanji, C., Rosteck, N., Eberl, S., Rottmann, S., & Loitsch, C. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3798558
Klein, J. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3799203
CyberFrame: AI-Supported Hybrid Comics for Cybersecurity Awareness
Barlage, K., Will, M., Hein, O., Mecke, L., Thalhammer, P., & Alt, F. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3798980
Chandra, S., Pasupuleti, D., Castaneda, G. C., Zheng, C., Avijeet, P., Dixon, M. J., & Dautenhahn, K. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790706 · Cited by 2
Embedded vs. Situated: An Evaluation of AR Facial Training Feedback
Nargund, A. A., Park, A., Höllerer, T., & Sra, M. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791941
Understanding Consumers’ Continuance Intention toward Mobile Cloud ComputingPreprint
Kim, D. W., Zhang, G., Du, Z., & Hwang, Y. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6638046
Göhler, V., Heisel, F., Schierz, F. E., & Pfleging, B. (2026) · ACM International Symposium on Pervasive Displays (PerDis) · doi:10.1145/3797993.3798024
Schrank, A., Kaas, A.-S., Brandenburg, S., & Oehl, M. (2026) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2026.103632
Kimmel, S., Goodarzi, S., Kaiser, J.-N., Landwehr, E., & Heuten, W. (2026) · NASA/ESA Conference on Adaptive Hardware and Systems · doi:10.1145/3795011.3795024 · Cited by 1
A Usability Study on the Adoption of Wearable Devices by Healthy Older Adults
Milani, L., Grossi, A., Romano, D., & Gasparini, F. (2026) · Lecture notes in bioengineering · doi:10.1007/978-3-032-11050-3_2
Evaluating Users’ Preferences Regarding Technologies for Promoting Behavioral Change
Beraldo, G., Tamantini, C., Umbrico, A., & Orlandini, A. (2026) · Lecture notes in bioengineering · doi:10.1007/978-3-032-11050-3_17
Which Digital Competences Should All Future STEM Teachers Acquire in Initial Teacher Education?
Pankrath, R., Sperling, J., & Lindmeier, A. (2026) · MedienPädagogik Zeitschrift für Theorie und Praxis der Medienbildung · doi:10.21240/mpaed/00/2026.05.11.x
Schwanke, H., Elsholz, M., & Trefzger, T. (2026) · Journal of Physics Conference Series · doi:10.1088/1742-6596/3203/1/012023
Kopetz, J. P., Kordts, B., Dresel, M., & Jochems, N. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-16448-3_14
Unkart, A., Decker, E., Lahmann, N., & Strube‐Lahmann, S. (2026) · BMC Medical Education · doi:10.1186/s12909-026-09465-4
EditQL: A query language for evolving models
Jutz, B., Pietron, J., Raschke, A., & Burger, E. (2026) · Software & Systems Modeling · doi:10.1007/s10270-026-01387-5
Chen, T., Cui, T., Zhang, Y., Xu, Z.-Z., & Jia, Y. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1847715
Teaming Up with Artificial Agents in Non-routine Analytical Tasks
Cominelli, L., Galatolo, F., Giannetti, C., Dell'orletta, F., Ciaccio, C., Chapkovski, P., & Venturi, G. (2026) · ACM Trans. Hum. Robot Interact. · doi:10.1145/3816428
Kobert, M., Brade, J., Mandl, S., Vitt, V., Lischka, S., Strobel, A., Klimant, F., & Süße, T. (2026) · IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) · doi:10.1109/arso68304.2026.11536141
The role of perceived competence in remote cochlear implant aftercare: a mixed-methods study
Werminghaus, M., Thyson, S., Sieverding, N., Breitenbach, E., Richter, J. G., & Klenzner, T. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1803067
Vietinghoff, K., Fischer, S., Ulbricht, S., Strüder, D., Momper, T., Junghanß, C., & Felser, S. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1844730
Nkusi, E. M., Schneider, J. V., Wiegand, M., & Bengler, K. J. (2026) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208261460544
From Activity to Recovery: Behavioral Factors Shaping Interruptibility
Lingler, A., Talypova, D., Frijns, H. A., & Wintersberger, P. (2026) · Annual Symposium on Human-Computer Interaction for Work (CHIWORK) · doi:10.1145/3808045.3808048
Park, J., Kim, Y., Eitrheim, M. H. R., Arigi, A. M., Dickerson, K., Green, N. H., Boring, R. L., Park, J., & Bye, A. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6986848
Toth, A., Fanconi, L., Zufferey, N., & Zimmermann, V. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-29773-0_24
Pongratz, V., Steckhan, L., Schulze, J., & Bengler, K. J. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30549-7_24
Kojan, L., Riepen, C., Mortaga, M., Ponge, J., Suer, J., & Valdez, A. S. C. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-29839-3_11
Schumacher, T., Gruner, M., Pabst, L., Mortaga, M., & Valdez, A. S. C. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-29839-3_22
How Do Different Users Prefer to Learn About Automated Driving Functions?
Preis, S., Teicht, M., & Engeln, A. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-30819-1_17
Schunk, F., Lipp, N., & Wrzus, C. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.101196
Hallmann, M., Peperkorn, N., Vona, F., Shiban, Y., & Voigt-Antons, J.-N. (2025) · JMIR XR and spatial computing · doi:10.2196/81537
Applicant Reactions to Artificial Intelligence in Personnel Selection
Langer, M., & Basch, J. M. (2026) · Oxford University Press eBooks · doi:10.1093/9780197809013.003.0030
Fernández-López, C., Arbeloa, M. C., Pacheco-Ramos, P., Valencia-Soto, C. M., Garrido-Sanchez, L., & Fontanals-Martínez, S. (2026) · Farmacia Hospitalaria · doi:10.1016/j.farma.2026.01.010
Jagemann, I., Baudisch, J., Jungeblut, T., Maier, G. W., & Hirschfeld, G. H. F. (2026) · JMIR AI · doi:10.2196/94589
Ashrafi, N., Kupkovic, R., Vona, F., Hinzmann, S., Vergari, M., Wang, Y., Braytee, A., Gross, I., Pasoglou, J., & Voigt‐Antons, J. (2026) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex69967.2026.11618347
Vona, F., Amer, M., Abdellatif, O., Stern, M., Moreira, C., Jorge, J. A., & Voigt‐Antons, J. (2026) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex69967.2026.11618374
Henning, J. C., Vona, F., Hinzmann, S., Amer, M., & Voigt‐Antons, J. (2026) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex69967.2026.11618366
Stranger Interfaces: Assessing Interaction Modality for Cross-Reality Signal-Based Communication
Brzica, L., Moslavac, M., Dujić, L., & Skorin‐Kapov, L. (2026) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex69967.2026.11618332
Schnittstelle Technologie und Wissenschaft
Mundorf, A., Peterburs, J., & Ocklenburg, S. (2026) · Springer eBooks · doi:10.1007/978-3-662-73259-5_14
Virtual Reality-gestützte Planspiele
Mascher, U., Fernes, D., Tillmann, A., Haas, S., Buschmann, C., Meßner, M. T., & Adl-Amini, K. (2026) · MedienPädagogik Zeitschrift für Theorie und Praxis der Medienbildung · doi:10.21240/mpaed/71/2026.08.03.x
Beyer, A. M., Klein, J., Dr.George, C. M., & Müller-Birn, C. (2026) · Mensch und Computer (MuC) · doi:10.1145/3820253.3831373
Intent-Aware Backchanneling for Active Listening in Human-Robot Interaction
Sun, Y., Leusmann, J., & Hedderich, M. A. (2026) · Mensch und Computer (MuC) · doi:10.1145/3820253.3831400
Burgert, F., Mütze‐Niewöhner, S., & Nitsch, V. (2026) · Frontiers in Industrial Engineering · doi:10.3389/fieng.2026.1823739
Raurell‐Torredà, M., Farrés‐Tarafa, M., Basco-Prado, L., González-Moret, R., Navarro‐Sabaté, À., Fernández-Mendez, R., Guerrero, J. A. S., Adalid-Villaronga, R., Arrogante, Ó., & Almodóvar-Fernández, I. (2026) · Nurse Education Today · doi:10.1016/j.nedt.2026.107379
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
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
