Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory

Social media platforms use short, highly engaging videos to catch users' attention. While the short-form video feeds popularized by TikTok are rapidly spreading to other platforms, we do not yet understand their impact on cognitive functions. We conducted a between-subjects experiment (N=60) investigating the impact of engaging with TikTok, Twitter, and YouTube while performing a Prospective Memory task (i.e., executing a previously planned action). The study required participants to remember intentions over interruptions. We found that the TikTok condition significantly degraded the users' performance in this task. As none of the other conditions (Twitter, YouTube, no activity) had a similar effect, our results indicate that the combination of short videos and rapid context-switching impairs intention recall and execution. We contribute a quantified understanding of the effect of social media feed format on Prospective Memory and outline consequences for media technology designers to not harm the users' memory and wellbeing.

[1]  Wei Zhang,et al.  Mental workload variations during different cognitive office tasks with social media interruptions , 2022, Ergonomics.

[2]  Ville Mäkelä,et al.  MindPhone: Mindful Reflection at Unlock Can Reduce Absentminded Smartphone Use , 2022, Conference on Designing Interactive Systems.

[3]  Shaobo Liu,et al.  Heavy and light media multitaskers employ different neurocognitive strategies in a prospective memory task: An ERP study , 2022, Comput. Hum. Behav..

[4]  Mengyu Zheng Influence of Short Video Watching Behaviors on Visual Short-Term Memory , 2022, Advances in Social Science, Education and Humanities Research.

[5]  L. Timmermann,et al.  German normative data with naming latencies for 283 action pictures and 600 action verbs , 2021, Behavior Research Methods.

[6]  T. Sørensen,et al.  Volition in prospective Memory: Evidence against differences between free and fixed target events , 2021, Consciousness and Cognition.

[7]  Mike S. Schäfer,et al.  Research perspectives on TikTok and its legacy apps: introduction , 2021 .

[8]  C. Montag,et al.  On the Psychology of TikTok Use: A First Glimpse From Empirical Findings , 2021, Frontiers in Public Health.

[9]  Sean A. Munson,et al.  How the Design of YouTube Influences User Sense of Agency , 2021, CHI.

[10]  L. Lupinacci ‘Absentmindedly scrolling through nothing’: liveness and compulsory continuous connectedness in social media , 2020, Media, Culture & Society.

[11]  L. Zahodne,et al.  Daily associations between social media use and memory failures: the mediating role of negative affect , 2020, The Journal of general psychology.

[12]  John D. Murray,et al.  A flexible framework for simulating and fitting generalized drift-diffusion models , 2020, bioRxiv.

[13]  Xiongkuo Min,et al.  A Multimodal Saliency Model for Videos With High Audio-Visual Correspondence , 2020, IEEE Transactions on Image Processing.

[14]  C. Montag,et al.  Predicting tendencies towards the disordered use of Facebook's social media platforms: On the role of personality, impulsivity, and social anxiety , 2020, Psychiatry Research.

[15]  L. Schwabe,et al.  Prioritized attentional processing: Acute stress, memory and stimulus emotionality facilitate attentional disengagement , 2020, Neuropsychologia.

[16]  Francesco Piccione,et al.  Theta and alpha oscillations as signatures of internal and external attention to delayed intentions: A magnetoencephalography (MEG) study , 2020, NeuroImage.

[17]  Russell J. Boag,et al.  Strategic attention and decision control support prospective memory in a complex dual-task environment , 2019, Cognition.

[18]  A. Heathcote,et al.  Evidence accumulation modeling of event-based prospective memory , 2019, Prospective Memory.

[19]  John P. A. Ioannidis,et al.  Bayes factors for superiority, non-inferiority, and equivalence designs , 2019, BMC Medical Research Methodology.

[20]  Qian He,et al.  A study on the characteristics of douyin short videos and implications for edge caching , 2019, ACM TUR-C.

[21]  Nigel Shadbolt,et al.  Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools , 2019, CHI.

[22]  Gloria Mark,et al.  How Do Interruptions Affect Productivity? , 2019, Rethinking Productivity in Software Engineering.

[23]  Christian D. Schunn,et al.  Integrating Decay and Interference: A New Look at an Old Interaction , 2019, Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society.

[24]  C. Latkin,et al.  Connection, meaning, and distraction: A qualitative study of video game play and mental health recovery in veterans treated for mental and/or behavioral health problems. , 2018, Social science & medicine.

[25]  Hajo G. Boomgaarden,et al.  Framing fast and slow: a dual processing account of multimodal framing effects , 2018, Media Psychology.

[26]  Andrew J Aschenbrenner,et al.  The importance of age-related differences in prospective memory: Evidence from diffusion model analyses , 2018, Psychonomic bulletin & review.

[27]  Sophie Leroy,et al.  Tasks Interrupted: How Anticipating Time Pressure on Resumption of an Interrupted Task Causes Attention Residue and Low Performance on Interrupting Tasks and How a "Ready-to-Resume" Plan Mitigates the Effects , 2018, Organ. Sci..

[28]  Colin M. Gray,et al.  The Dark (Patterns) Side of UX Design , 2018, CHI.

[29]  Julie A. Kientz,et al.  What Makes Smartphone Use Meaningful or Meaningless? , 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

[30]  Alain Pinsonneault,et al.  Theorizing the Multilevel Effects of Interruptions and the Role of Communication Technology , 2018, J. Assoc. Inf. Syst..

[31]  Naomi S. Baron,et al.  Media Multitasking and Cognitive, Psychological, Neural, and Learning Differences , 2017, Pediatrics.

[32]  M. Griffiths,et al.  Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale , 2017, Journal of behavioral addictions.

[33]  Jan Rummel,et al.  The Role of Action Coordination for Prospective Memory: Task-Interruption Demands Affect Intention Realization , 2017, Journal of experimental psychology. Learning, memory, and cognition.

[34]  Daniel Smilek,et al.  The Relation Between Smartphone Use and Everyday Inattention , 2017 .

[35]  Lauren E. Sherman,et al.  Smartphones and Cognition: A Review of Research Exploring the Links between Mobile Technology Habits and Cognitive Functioning , 2017, Front. Psychol..

[36]  Eleanor O' Neill,et al.  The cost of not paying attention , 2017 .

[37]  Paolo Ghisletta,et al.  Prospective memory and intraindividual variability in ongoing task response times in an adult lifespan sample: the role of cue focality , 2017, Memory.

[38]  Jason L. Hicks,et al.  Characterization of Prospective Memory and Associated Processes , 2017 .

[39]  A. Schmidt,et al.  The effect of regulatory focus on attention residue and performance during interruptions , 2016 .

[40]  A. Leber,et al.  Attentional disengagement suppresses visual long-term memory , 2016 .

[41]  P. Vorderer,et al.  Digital Stress: Permanent Connectedness and Multitasking , 2016 .

[42]  Tadayoshi Kohno,et al.  MyTime: Designing and Evaluating an Intervention for Smartphone Non-Use , 2016, CHI.

[43]  Sally Andrews,et al.  To transform or not to transform: using generalized linear mixed models to analyse reaction time data , 2015, Front. Psychol..

[44]  Penelope M. Sanderson,et al.  How do interruptions affect clinician performance in healthcare? Negotiating fidelity, control, and potential generalizability in the search for answers , 2015, Int. J. Hum. Comput. Stud..

[45]  Michael A. Nees,et al.  A comparison of human versus virtual interruptions , 2015, Ergonomics.

[46]  M. Moscovitch,et al.  Neuroscience and Biobehavioral Reviews Neural Bases of Prospective Memory: a Meta-analysis and the " Attention to Delayed Intention " (atodi) Model , 2022 .

[47]  Yao Wang,et al.  Exploring the role of prospective memory in location-based reminders , 2014, UbiComp Adjunct.

[48]  S. Loft,et al.  Investigating the cost to ongoing tasks not associated with prospective memory task requirements , 2014, Consciousness and Cognition.

[49]  Eric Ruthruff,et al.  Multitasking and Aging: Do Older Adults Benefit from Performing a Highly Practiced Task? , 2014, Experimental aging research.

[50]  E. M. Altmann,et al.  Momentary interruptions can derail the train of thought. , 2014, Journal of experimental psychology. General.

[51]  R. Marsh,et al.  The Role of Interruptions and Contextual Associations in Delayed‐Execute Prospective Memory , 2014 .

[52]  Jennifer E. Gerow,et al.  When it comes to Facebook there may be more to bad memory than just multitasking , 2013, Comput. Hum. Behav..

[53]  Beatrice G. Kuhlmann,et al.  Performance predictions affect attentional processes of event-based prospective memory , 2013, Consciousness and Cognition.

[54]  J. Bobadilla,et al.  Recommender systems survey , 2013, Knowl. Based Syst..

[55]  Ramesh Sharda,et al.  Should I send this message? Understanding the impact of interruptions, social hierarchy and perceived task complexity on user performance and perceived workload , 2013, Decis. Support Syst..

[56]  D. Barr,et al.  Random effects structure for confirmatory hypothesis testing: Keep it maximal. , 2013, Journal of memory and language.

[57]  Christopher D. Wickens,et al.  Supporting Interruption Management and Multimodal Interface Design , 2013, Hum. Factors.

[58]  Bernard R. McCoy,et al.  Digital Distractions in the Classroom: Student Classroom Use of Digital Devices for Non-Class Related Purposes , 2013 .

[59]  Roger Ratcliff,et al.  Parameter variability and distributional assumptions in the diffusion model. , 2013, Psychological review.

[60]  Nick Yeung,et al.  Memory and Cognitive Control in Task Switching , 2012, Psychological science.

[61]  Birsen Donmez,et al.  Not All Interruptions are Created Equal: Positive Interruptions in Healthcare , 2012 .

[62]  Ying Lu,et al.  Model selection in linear mixed effect models , 2012, J. Multivar. Anal..

[63]  R. Dismukes,et al.  Prospective Memory in Workplace and Everyday Situations , 2012 .

[64]  Ute J. Bayen,et al.  Prospective memory in young and older adults: The effects of ongoing-task load , 2012, Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition.

[65]  Daniel L. Schacter,et al.  Constructive memory: past and future , 2012, Dialogues in clinical neuroscience.

[66]  A. Gazzaley,et al.  Distinct mechanisms for the impact of distraction and interruption on working memory in aging , 2012, Neurobiology of Aging.

[67]  Jan Rummel,et al.  A diffusion model analysis of task interference effects in prospective memory , 2012, Memory & cognition.

[68]  Gene A. Brewer Analyzing response time distributions: Methodological and theoretical suggestions for prospective memory researchers , 2011 .

[69]  M. McDaniel,et al.  Structural correlates of prospective memory , 2011, Neuropsychologia.

[70]  J. J. Higgins,et al.  The aligned rank transform for nonparametric factorial analyses using only anova procedures , 2011, CHI.

[71]  U. Bayen,et al.  What can the diffusion model tell us about prospective memory? , 2011, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[72]  A. Jacobs,et al.  The word frequency effect: a review of recent developments and implications for the choice of frequency estimates in German. , 2011, Experimental psychology.

[73]  Y. B. Wah,et al.  Power comparisons of Shapiro-Wilk , Kolmogorov-Smirnov , Lilliefors and Anderson-Darling tests , 2011 .

[74]  Yu He,et al.  The YouTube video recommendation system , 2010, RecSys '10.

[75]  Premjit K. Sanjram,et al.  Attention and programmer characteristics in prospective memory: an investigation of habit intrusion error in programmer multitasking , 2010, ECCE.

[76]  Scott Rogers,et al.  Level Up!: The Guide to Great Video Game Design , 2010 .

[77]  Mark A McDaniel,et al.  Focal/nonfocal cue effects in prospective memory: monitoring difficulty or different retrieval processes? , 2010, Journal of experimental psychology. Learning, memory, and cognition.

[78]  Albrecht Schmidt,et al.  Gazemarks: gaze-based visual placeholders to ease attention switching , 2010, CHI.

[79]  Rebekah E. Smith,et al.  What Costs Do Reveal and Moving Beyond the Cost Debate: Reply to Einstein and McDaniel (in press). , 2010, Journal of experimental psychology. Learning, memory, and cognition.

[80]  A. Chatterjee,et al.  Mental fatigue and temporal preparation in simple reaction-time performance. , 2010, Acta psychologica.

[81]  Sophia L. King,et al.  Improving memory after interruption: exploiting soft constraints and manipulating information access cost. , 2009, Journal of experimental psychology. Applied.

[82]  Sophie Leroy Why is it so hard to do my work? The challenge of attention residue when switching between work tasks , 2009 .

[83]  Karen L. Myers,et al.  Like an intuitive and courteous butler: a proactive personal agent for task management , 2009, AAMAS.

[84]  Jonathan Rosen,et al.  Distractions, Distractions: Does Instant Messaging Affect College Students' Performance on a Concurrent Reading Comprehension Task? , 2009, Cyberpsychology Behav. Soc. Netw..

[85]  Rahul M. Dodhia,et al.  Interruptions create prospective memory tasks , 2009 .

[86]  J. Trafton,et al.  The effect of interruption duration and demand on resuming suspended goals. , 2008, Journal of experimental psychology. Applied.

[87]  Christopher A. Monk,et al.  The Effects of Brief Interruptions on Task Resumption , 2008 .

[88]  Gloria Mark,et al.  The cost of interrupted work: more speed and stress , 2008, CHI.

[89]  Andreas Voss,et al.  A fast numerical algorithm for the estimation of diffusion model parameters , 2008 .

[90]  Matthias Kliegel,et al.  Time-Based and Event-Based Prospective Memory Across Adulthood: Underlying Mechanisms and Differential Costs on the Ongoing Task , 2008, The Journal of general psychology.

[91]  R. Ratcliff,et al.  A Diffusion Model Account of Criterion Shifts in the Lexical Decision Task. , 2008, Journal of memory and language.

[92]  R. R. Hunt,et al.  The cost of event-based prospective memory: salient target events. , 2007, Journal of experimental psychology. Learning, memory, and cognition.

[93]  Jonathan W. Peirce,et al.  PsychoPy—Psychophysics software in Python , 2007, Journal of Neuroscience Methods.

[94]  M. McDaniel,et al.  Prospective Memory: An Overview and Synthesis of an Emerging Field , 2007 .

[95]  L. Kvavilashvili,et al.  Is time-based prospective remembering mediated by self-initiated rehearsals? Role of incidental cues, ongoing activity, age, and motivation. , 2007, Journal of experimental psychology. General.

[96]  Jan Chong,et al.  Interruptions on software teams: a comparison of paired and solo programmers , 2006, CSCW '06.

[97]  M. McDaniel,et al.  Multiple processes in prospective memory retrieval: factors determining monitoring versus spontaneous retrieval. , 2005, Journal of experimental psychology. General.

[98]  M. McDaniel,et al.  (www.interscience.wiley.com) DOI: 10.1002/acp.1002 Delaying Execution of Intentions: Overcoming the Costs of Interruptions , 2022 .

[99]  Mark A McDaniel,et al.  Cue-focused and reflexive-associative processes in prospective memory retrieval. , 2004, Journal of experimental psychology. Learning, memory, and cognition.

[100]  Brian P. Bailey,et al.  If not now, when?: the effects of interruption at different moments within task execution , 2004, CHI.

[101]  Hendrik Schulze,et al.  MEMOS: an interactive assistive system for prospective memory deficit compensation-architecture and functionality , 2004, Assets '04.

[102]  Mark A McDaniel,et al.  Aging and maintaining intentions over delays: do it or lose it. , 2003, Psychology and aging.

[103]  Melissa J. Guynn,et al.  A two‐process model of strategic monitoring in event‐based prospective memory: Activation/retrieval mode and checking , 2003 .

[104]  Rebekah E. Smith The cost of remembering to remember in event-based prospective memory: investigating the capacity demands of delayed intention performance. , 2003, Journal of experimental psychology. Learning, memory, and cognition.

[105]  Judi A. Ellis,et al.  Conceptual and perceptual processes in prospective remembering: Differential influence of attentional resources , 2002, Memory & cognition.

[106]  Jonathan J. Evans,et al.  Prospective memory functioning in people with and without brain injury , 2002, Journal of the International Neuropsychological Society.

[107]  Kara A. Latorella,et al.  The Scope and Importance of Human Interruption in Human-Computer Interaction Design , 2002, Hum. Comput. Interact..

[108]  Annie Lang,et al.  Something for Nothing: Is Visual Encoding Automatic? , 1999 .

[109]  Gilles O. Einstein,et al.  Prospective memory: When reminders fail , 1998, Memory & cognition.

[110]  P Shaw,et al.  Aging and prospective memory: the influence of increased task demands at encoding and retrieval. , 1997, Psychology and aging.

[111]  F. Craik,et al.  The effects of divided attention on encoding and retrieval processes in human memory. , 1996, Journal of experimental psychology. General.

[112]  David M. Frohlich,et al.  Timespace in the workplace: dealing with interruptions , 1995, CHI 95 Conference Companion.

[113]  Carol T. Kulik,et al.  Physical Environments and Employee Reactions: Effects of Stimulus-Screening Skills and Job Complexity , 1991 .

[114]  Roger Ratcliff,et al.  A Theory of Memory Retrieval. , 1978 .