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A three-stage methodology employed a focus group, survey, and in-the-wild data collection app. The focus group <jats:inline-formula><jats:alternatives><jats:tex-math>$$(n=12)$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                  <mml:mrow>\n                    <mml:mo>(<\/mml:mo>\n                    <mml:mi>n<\/mml:mi>\n                    <mml:mo>=<\/mml:mo>\n                    <mml:mn>12<\/mml:mn>\n                    <mml:mo>)<\/mml:mo>\n                  <\/mml:mrow>\n                <\/mml:math><\/jats:alternatives><\/jats:inline-formula> provided preliminary insights into notification perceptions during boredom which informed survey design. The survey <jats:inline-formula><jats:alternatives><jats:tex-math>$$(n=106)$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                  <mml:mrow>\n                    <mml:mo>(<\/mml:mo>\n                    <mml:mi>n<\/mml:mi>\n                    <mml:mo>=<\/mml:mo>\n                    <mml:mn>106<\/mml:mn>\n                    <mml:mo>)<\/mml:mo>\n                  <\/mml:mrow>\n                <\/mml:math><\/jats:alternatives><\/jats:inline-formula> probed usage habits across times, days, and app categories. The SeektheNotification app gathered real-world notification data from 20 Android users over 3 months.Analysis revealed social and personal apps dominate notification volumes (91% combined). Shorter response delays occurred on weekends and after 12 pm, suggesting heightened user receptivity during boredom. Random Forest classification achieved 88% accuracy, outperforming 13 other algorithms, underscoring machine learning\u2019s potential for context-aware notification systems.Our exploratory findings indicate notifications could be optimized by considering situational factors like boredom. Further research should expand context beyond boredom and employ advanced deep learning techniques. This preliminary study demonstrates the promise of leveraging user psychology and machine intelligence to develop smarter interruption management systems to combat notification overload.<\/jats:p>","DOI":"10.1007\/s42486-023-00143-8","type":"journal-article","created":{"date-parts":[[2024,1,20]],"date-time":"2024-01-20T11:02:16Z","timestamp":1705748536000},"page":"115-132","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Is identifying boredom the answer to controlling the bombardment of notifications on mobile devices?"],"prefix":"10.1007","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3409-1970","authenticated-orcid":false,"given":"Rashid","family":"Kamal","sequence":"first","affiliation":[]},{"given":"Aimal","family":"Rextin","sequence":"additional","affiliation":[]},{"given":"Chris","family":"Nugent","sequence":"additional","affiliation":[]},{"given":"Ian","family":"Cleland","sequence":"additional","affiliation":[]},{"given":"Paul","family":"McCullagh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,1,20]]},"reference":[{"key":"143_CR1","doi-asserted-by":"crossref","unstructured":"Adamczyk, P.D., Bailey, B.P.: If not now, when? the effects of interruption at different moments within task execution. 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