Effect of the Presence of a Mobile Phone during a Spatial Visual Search
Open accessAbstract
Recent studies suggest that the “mere presence” of a mobile phone impairs social interactions and neuropsychological test performance. The present study examined whether the presence of a mobile phone causes spatial bias toward the device during a visual search task. Participants identified a target among spatially distributed non‐targets. We manipulated three factors: device presence (mobile phone or notepad), target congruency (congruent or incongruent), and attentional load (set size 8 or 24). A mobile phone (or a notepad in the control condition) was placed on the left side of the computer screen. Participants also completed a questionnaire to measure I nternet usage and attachment. Participants with high scores on the questionnaire rapidly identified the target at the congruent (same side as the phone) location, but the mere presence effect did not occur in this condition. In contrast, participants with low scores on the questionnaire demonstrated the mere presence effect, but no spatial bias was observed. These results suggest that the mere presence effect can be modulated by individual differences in the degree to which a device is appealing.
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?
The effect of smartphone presence/availability during cognitive performance is moderated by mobile phone dependence, Internet use/attachment, and nomophobia.
“Recent research also suggests that the effect of smartphone presence/availability during cognitive performance is moderated by mobile phone (psychological) dependence21, Internet use/attachment30, and nomophobia (i.e., the fear of being without access to one’s cell phone16), all of these constructs being assessed with self-report scales.”
From Emotion-related impulsivity moderates the cognitive interference effect of smartphone availability on working memory (2019) · cites this paper as [30]
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
Brainard, D. H. (1997) · Spatial Vision · doi:10.1163/156856897x00357 · Cited by 19,308 · see citing works
The VideoToolbox software for visual psychophysics: transforming numbers into movies
Pelli, D. G. (1997) · Spatial Vision · doi:10.1163/156856897x00366 · Cited by 11,110 · see citing works
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
Alone together: why we expect more from technology and less from each other
Fernández Pedemonte, D. (2011) · Choice Reviews Online · doi:10.5860/choice.48-7239 · Cited by 4,606 · see citing works
Cognitive control in media multitaskers
Ophir, E., Nass, C., & Wagner, A. D. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903620106 · Cited by 1,810 · see citing works
Development and Validation of a Smartphone Addiction Scale (SAS)
Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J.-H., & Kim, D.-J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056936 · Cited by 1,670 · see citing works
Müller, H. J., & Rabbitt, P. (1989) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.15.2.315 · Cited by 1,445 · see citing works
Garland, E. L., Fredrickson, B., Kring, A. M., Johnson, D. P., Meyer, P. S., & Penn, D. L. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.03.002 · Cited by 1,035 · see citing works
Muller, H. J., & Rabbitt, P. (1989) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.15.2.315 · Cited by 843 · see citing works
Przybylski, A. K., & Weinstein, N. (2013) · Journal of Social and Personal Relationships · doi:10.1177/0265407512453827 · Cited by 751 · see citing works
The invisible addiction: Cell-phone activities and addiction among male and female college students
Roberts, J., Yaya, L., & Manolis, C. (2014) · Journal of Behavioral Addictions · doi:10.1556/jba.3.2014.015 · Cited by 711 · see citing works
Spatial extent of attention to letters and words.
LaBerge, D. (1983) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.9.3.371 · Cited by 620 · see citing works
Spatial extent of attention to letters and words.
LaBerge, D. (1983) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.9.3.371 · Cited by 528 · see citing works
Did you see the unicycling clown? Inattentional blindness while walking and talking on a cell phone
Hyman, I. E., Boss, S. M., Wise-Swanson, B. M., McKenzie, K. E., & Caggiano, J. M. (2009) · Applied Cognitive Psychology · doi:10.1002/acp.1638 · Cited by 437 · see citing works
Misra (2016) · doi:10.1177/0013916514539755 · Cited by 430 · see citing works
Pixel independence: measuring spatial interactions on a CRT display
Pelli, D. G. (1997) · Spatial Vision · doi:10.1163/156856897x00375 · Cited by 369 · see citing works
Passenger and cell phone conversations in simulated driving.
Drews, F. A., Pasupathi, M., & Strayer, D. L. (2008) · Journal of Experimental Psychology: Applied · doi:10.1037/a0013119 · Cited by 336 · see citing works
Perceptual objects and the cost of filtering
Treisman, A., Kahneman, D. J., & Burkell, J. (1983) · Perception & Psychophysics · doi:10.3758/bf03202934 · Cited by 315 · see citing works
Kahneman, D. J., Treisman, A., & Burkell, J. (1983) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.9.4.510 · Cited by 309 · see citing works
The Oxford handbook of attention
(2014) · Choice Reviews Online · doi:10.5860/choice.52-1132 · Cited by 300 · see citing works
Thornton, B., Faires, A., Robbins, M., & Rollins, E. (2014) · Social Psychology · doi:10.1027/1864-9335/a000216 · Cited by 282 · see citing works
(1972) · PubMed · Cited by 241 · see citing works
Hadlington, L. J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.036 · Cited by 180 · see citing works
Measuring Cognitive Distraction in the Automobile
Strayer, D. L., Cooper, J. M., Turrill, J., Coleman, J. R., Medeiros-Ward, N., & Biondi, F. N. (2013) · AAA Foundation for Traffic Safety. · Cited by 158 · see citing works
Kahneman, D. J., Treisman, A., & Burkell, J. (1983) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.9.4.510 · Cited by 132 · see citing works
Are we addicted to our cell phones?
Sapacz, M., Rockman, G., & Clark, J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.004 · Cited by 116 · see citing works
Female College Students’ Media Use and Academic Outcomes: Results From a Longitudinal Cohort Study
Walsh, J. L., Fielder, R. L., Carey, K. B., & Carey, M. P. (2013) · Emerging Adulthood · doi:10.1177/2167696813479780 · Cited by 74 · see citing works
Possession attachment predicts cell phone use while driving.
Weller, J. A., Shackleford, C. M., Dieckmann, N. F., & Slovic, P. (2012) · Health Psychology · doi:10.1037/a0029265 · Cited by 72 · see citing works
Setting free the bears: Escape from thought suppression
Wegner, D. M. (2011) · American Psychologist · doi:10.1037/a0024985 · Cited by 71 · see citing works
Cell phone use and grade point average among undergraduate university students.
Harman, B. A., & Sato, T. (2011) · College student journal · Cited by 58 · see citing works
Wegner, D. M., & Schneider, D. J. (2003) · Psychological Inquiry · doi:10.1080/1047840x.2003.9682900 · Cited by 54 · see citing works
Overheard Cell-Phone Conversations
Emberson, L. L., Lupyan, G., Goldstein, M. H., & Spivey, M. J. (2010) · Psychological Science · doi:10.1177/0956797610382126 · Cited by 49 · see citing works
Wolfe, J. M. (2014) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199675111.013.002 · Cited by 45 · see citing works
Models of Cognitive Control in Task Switching
(2014) · Oxford University Press eBooks · doi:10.1093/acprof:osobl/9780199921959.003.0008 · Cited by 23 · see citing works
The Effects of Cell Phone Conversations on the Attention and Memory of Bystanders
Galván, V. V., Vessal, R. S., & Golley, M. T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058579 · Cited by 22 · see citing works
Spatial Orienting and Attentional Capture
Theeuwes, J. (2014) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199675111.013.005 · Cited by 18 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Kawahara, J., & Yokosawa, K. (2015). Attention: Selection and integration. (K. Yokosawa, Series Ed.) Integrative cognition. Vol. 1. Japan: Keiso Shobo. (In Japanese, title translated by the author of this article.)
- Osada, H., & Ueno, R. (2005). Usability of Japanese version of the Internet Addiction Test (JIAT). Japanese Journal of Addiction & Family, 22, 269-275. (In Japanese, title translated by the author of this article.)
Cited by
Sorted by citations
Canale, N., Vieno, A., Doro, M., Rosa Mineo, E., Marino, C., & Billieux, J. (2019) · Scientific Reports · doi:10.1038/s41598-019-54911-7 · Cited by 50 · see citing works
Guzmán Cortés, J. A., Sánchez-Betancourt, J. T., Meneses López, N., Feliciano Hernández, V., & Ruiz Reyes, V. (2022) · Interdisciplinaria. Revista de Psicología y Ciencias Afines · doi:10.16888/interd.2022.39.2.2 · Cited by 4 · see citing works
- Authors
- Ito, M., & Kawahara, J.
- Affiliations
- Chukyo University (JP)
- Hokkaido University (JP)
- Corresponding author
- Kawahara, Jun‐Ichiro
- Venue
- Japanese Psychological Research
- Publisher
- Wiley
- Published
- 2016-12-26
- Volume
- 59
- Issue
- 2
- Pages
- 188-198
- ISSN
- 0021-5368 (ISSN-L)
- 1468-5884
- OpenAlex
- W2562437048
- Cited by
- 40
- References
- 36
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 7 · 2023: 5 · 2022: 5 · 2021: 4 · 2020: 4 · 2019: 1 · 2018: 1 · 2017: 1
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Japanese Psychological Research (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (26285168, 17J04401)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
- Keywords
- spatial bias, attentional load, individual differences, internet use, device attachment, smartphone distraction
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