When Filling the Wait Makes it Feel Longer: A Paradigm Shift Perspective for Managing Online Delay

As one of the most commonly experienced problems on the Internet, download delay is a significant impediment to the success of e-commerce websites. While some research has examined how such delays can be reduced and how much delay online users will tolerate, little research has taken a theoretically grounded approach to managing perceptions of the wait. Based on time perception theories, we develop a research model of the effects of actual wait time, amount of information, and direction of attention on perceptions of the wait. Two empirical studies were conducted using an experimental travel website to test the proposed hypotheses. The results show that with shorter waits, providing additional visual content, such as a travel picture, may make the wait feel longer. However, with longer waits, additional visual content that distracts the user from the passage of time makes the wait feel shorter and reduces users' negative affect toward the wait. Further, the benefits of providing visual content in longer waits are enhanced as more content is provided. Visual content should also be chosen to distract the user from time and temporal processing, as reminding users of the passage of time can encourage temporal processing and make the wait feel longer, especially in longer waits or when the amount of temporal visual content is high. Our findings extend time perception theories and contribute to the literature by identifying a potential paradigm shift, from the retrospective to the prospective paradigm, when waiting times are prolonged. Post hoc study results confirm the practical contribution of our research, demonstrating that several key findings are counter-intuitive to professional web designers.

[1]  Alexander I. Rudnicky,et al.  A performance model of system delay and user strategy selection , 1992, CHI.

[2]  Gregory M. Rose,et al.  On‐line waiting: The role of download time and other important predictors on attitude toward e‐retailers , 2005 .

[3]  R. Ornstein,et al.  The experience of time , 1986 .

[4]  R. E. Hicks,et al.  Prospective and retrospective judgments of time as a function of amount of information processed. , 1976, The American journal of psychology.

[5]  Mireia Valverde,et al.  Waiting in line for online services: a qualitative study of the user's perspective , 2006, Inf. Syst. J..

[6]  Bruce D. Weinberg,et al.  Don't keep your Internet customers waiting too long at the (virtual) front door , 2000 .

[7]  L. Doob,et al.  Patterning of time , 1971 .

[8]  Laurette Dubé,et al.  The impact of music on consumers' reactions to waiting for services , 1997 .

[9]  F. Macar,et al.  Effects of attention manipulation on judgments of duration and of intensity in the visual modality , 1997, Memory & cognition.

[10]  D. Zakay Models of psychological time revisited* , 2011 .

[11]  Scott W. Brown Attentional resources in timing: Interference effects in concurrent temporal and nontemporal working memory tasks , 1997, Perception & psychophysics.

[12]  James J. Kellaris,et al.  The influence of music on consumers' temporal perceptions: Does time fly when you're having fun? , 1992 .

[13]  Alan R. Dennis,et al.  Information foraging on the web: The effects of "acceptable" Internet delays on multi-page information search behavior , 2006, Decis. Support Syst..

[14]  Michael Lynn,et al.  A framework for evaluating the customer wait experience , 2010 .

[15]  Michael S. Borella,et al.  The effect of network delay and media on user perceptions of web resources , 2000, Behav. Inf. Technol..

[16]  J. Smallwood,et al.  The restless mind. , 2006, Psychological bulletin.

[17]  Mrugank V. Thakor,et al.  The Effect of Delay Type and Service Stage on Consumers' Reactions to Waiting , 1998 .

[18]  Dennis F. Galletta,et al.  When the Wait Isn't So Bad: The Interacting Effects of Website Delay, Familiarity, and Breadth , 2006, Inf. Syst. Res..

[19]  R. Block Prospective and Retrospective Duration Judgment: The Role of Information Processing and Memory , 1992 .

[20]  Charles S. Areni,et al.  (Waiting) time flies when the tune flows: Music influences affective responses to waiting by changing the subjective experience of passing time , 2009 .

[21]  Allan Kuchinsky,et al.  Integrating user-perceived quality into Web server design , 2000, Comput. Networks.

[22]  Bernd H. Schmitt,et al.  Consumers' Affective Response to Delays at Different Phases of a Service Delivery1 , 1991 .

[23]  B. Kahn,et al.  How Tolerable is Delay? Consumers’ Evaluations of Internet Web Sites after Waiting , 1998 .

[24]  R. E. Hicks,et al.  Concurrent processing demands and the experience of time-in-passing , 1977 .

[25]  Dan Zakay,et al.  Chapter 10 Subjective Time and Attentional Resource Allocation: An Integrated Model of Time Estimation , 1989 .

[26]  Robert Bell,et al.  Rethinking the progress bar , 2007, UIST.

[27]  J Predebon,et al.  The relationship between the number of presented stimuli and prospective duration estimates: The effect of concurrent task activity , 1996, Psychonomic bulletin & review.

[28]  J. Staddon Interval timing: memory, not a clock , 2005, Trends in Cognitive Sciences.

[29]  P. Fraisse Perception and estimation of time. , 1984, Annual review of psychology.

[30]  Shirley Taylor Waiting for Service: The Relationship between Delays and Evaluations of Service , 1994 .

[31]  Ben Shneiderman,et al.  Determining Causes and Severity of End-User Frustration , 2004, Int. J. Hum. Comput. Interact..

[32]  Brad A. Myers,et al.  The importance of percent-done progress indicators for computer-human interfaces , 1985, CHI '85.

[33]  A. Pruyn,et al.  Effects of waiting on the satisfaction with the service: Beyond objective time measures , 1998 .

[34]  Fiona Fui-Hoon Nah A study of web users' waiting time , 2000, IRMA Conference.

[35]  P. Hancock,et al.  How cognitive load affects duration judgments: A meta-analytic review. , 2010, Acta psychologica.

[36]  R L Helmreich,et al.  Impatience versus achievement strivings in the type A pattern: differential effects on students' health and academic achievement. , 1987, The Journal of applied psychology.

[37]  Suzanne Roberts,et al.  To influence time perception , 1995, CHI '95.

[38]  Richard A. Block,et al.  Remembered duration: Evidence for a contextual-change hypothesis. , 1978 .

[39]  Thomas Brambor,et al.  Understanding Interaction Models: Improving Empirical Analyses , 2006, Political Analysis.

[40]  Krithi Ramamritham,et al.  Proxy-based acceleration of dynamically generated content on the world wide web: An approach and implementation , 2004, ACM Trans. Database Syst..

[41]  Michael I. Norton,et al.  Think Customers Hate Waiting? Not So Fast... , 2011 .

[42]  Agnés Durrande-Moreau,et al.  Waiting for service: ten years of empirical research , 1999 .

[43]  Jennifer Preece,et al.  A psychological investigation of long retrieval times on the World Wide Web , 1998, Interact. Comput..

[44]  Naveen Donthu,et al.  Managing Voice-to-Voice Encounters , 2006 .

[45]  Richard A. Block,et al.  Chapter 9 Experiencing and Remembering Time: Affordances, Context, and Cognition , 1989 .

[46]  Mark M. Davis,et al.  How disconfirmation, perception and actual waiting times impact customer satisfaction , 1998 .

[47]  Kevin Curran,et al.  Understanding and reducing web delays , 2005 .

[48]  Douglas Poynter,et al.  Chapter 8 Judging the Duration of Time Intervals: A Process of Remembering Segments of Experience , 1989 .

[49]  D. Zakay Time Estimation Methods—Do They Influence Prospective Duration Estimates? , 1993, Perception.

[50]  Mireia Valverde,et al.  Waiting for service on the internet: Defining the phenomenon and identifying the situations , 2005, Internet Res..

[51]  G. Rose,et al.  The Effect of Download Time on Consumer Attitude Toward the e-Service Retailer , 2001 .

[52]  Jacob Hornik,et al.  Time Cue and Time Perception Effect on Response to Mail Surveys , 1981 .

[53]  D. Campbell,et al.  Convergent and discriminant validation by the multitrait-multimethod matrix. , 1959, Psychological bulletin.

[54]  Jean-Charles Chebat,et al.  Reactions to Waiting Online by Men and Women , 2010, Psychological reports.

[55]  Alice M. Tybout,et al.  Designing Research for Application , 1981 .

[56]  D. Kahneman,et al.  Attention and Effort , 1973 .

[57]  Ivan T. Robertson,et al.  Time-Related Individual Differences , 1999 .

[58]  R. Block,et al.  Prospective and retrospective duration judgments: A meta-analytic review , 1997, Psychonomic bulletin & review.

[59]  Mireia Valverde,et al.  Waiting online: a review and research agenda , 2003, Internet Res..

[60]  Markus Groth,et al.  Having to Wait for Service: Customer Reactions to Delays in Service Delivery , 2006 .

[61]  R. E. Hicks Prospective and Retrospective Judgments of Time: A Neurobehavioral Analysis , 1992 .

[62]  Peter C. Verhoef,et al.  Erim Report Series Research in Management Consumer Perception and Evaluation of Waiting Time: a Field Experiment Bibliographic Data and Classifications , 2022 .

[63]  H. Lejeune Switching or gating? The attentional challenge in cognitive models of psychological time , 1998, Behavioural Processes.

[64]  Pratibha A. Dabholkar,et al.  Perceptions of download delays: relation to actual waits, web site abandoning, and stage of delay , 2008 .

[65]  Shirley Taylor,et al.  The effects of filled waiting time and service provider control over the delay on evaluations of service , 1995 .

[66]  Michael E. Burns,et al.  Your life on hold , 1997 .

[67]  James J. Kellaris,et al.  The Influence of Mood and Gender on Consumers' Time Perceptions , 1994 .

[68]  John A. Hoxmeier,et al.  System Response Time and User Satisfaction: An Experimental Study of Browser-based Applications , 2000 .

[69]  Amitava Chattopadhyay,et al.  Waiting for the Web: How Screen Color Affects Time Perception , 2004 .

[70]  Meryl P. Gardner,et al.  Mood States and Consumer Behavior: A Critical Review , 1985 .

[71]  Dennis F. Galletta,et al.  Web Site Delays: How Tolerant are Users? , 2004, J. Assoc. Inf. Syst..

[72]  Michael K. Hui,et al.  What to Tell Consumers in Waits of Different Lengths: An Integrative Model of Service Evaluation , 1996 .

[73]  Andrew N. K. Chen,et al.  Can Online Wait Be Managed? The Effect of Filler Interfaces and Presentation Modes on Perceived Waiting Time Online , 2012, MIS Q..

[74]  Karin Braunsberger,et al.  The effects of music, wait-length evaluation, and mood on a low-cost wait experience , 2003 .

[75]  M. Hui,et al.  How Does Waiting Duration Information Influence Customers' Reactions to Waiting for Services?1 , 1996 .

[76]  Lance A. Bettencourt,et al.  The relationship between waiting in a service queue and evaluations of service quality: A field theory perspective , 1998 .

[77]  Steve Oakes,et al.  Using music to influence cognitive and affective responses in queues of low and high crowd density , 2008 .

[78]  Donald A. Hantula,et al.  Optimal foraging online: Increasing sensitivity to delay , 2003 .

[79]  E. E. Osuna The psychological cost of waiting , 1985 .