The effect of online interruptions on the quality of cognitive performance

Online interruptions influence the amount of time spent on the cognitive task.The required compensation time is greater when interruptions conveyed by mobile phones than Internet application.Relative cognitive performance success is higher for those experienced poor interruption messages. This paper examine the effect of the richness of online interruption messages on cognitive performance quality. An experimental research design utilized a computerized simulation game to measure participants' cognitive performance. Manipulation was achieved by exposing five groups (N=120) to messages in 2×2 intervention design in mobile phones (SMS/MMS) and online application (text/banner).Results indicate a significant difference between experimental groups about the amount of time spent on the cognitive task. The analysis reveals a significant effect of the richness of the message on cognitive performance quality, and the main effect of medium. Nonetheless, the required compensation time was greater among the groups using mobile phones. Performing the task with a mobile phone required more time than with the Internet application. The mobile phone with MMS group had the longest recovery time of all the test groups.This study may provide some reasons to revisit and reconsider the popular expression, "a picture is worth a thousand words." Our findings run counter to Media Richness Theory, as we found that the degree of richness of the online interruption was not solely dictated by the properties of the conveying medium.

[1]  Louis Coraggio,et al.  Deleterious effects of intermittent interruptions on the task performance of knowledge workers: A laboratory investigation. , 1990 .

[2]  Richard L. Daft,et al.  Message Equivocality, Media Selection, and Manager Performance: Implications for Information Systems , 1987, MIS Q..

[3]  John R. Carlson,et al.  Channel Expansion Theory and the Experiential Nature of Media Richness Perceptions , 1999 .

[4]  Richard R. Gaillardetz,et al.  Making the Connections , 2002 .

[5]  Daniel C. McFarlane,et al.  Comparison of Four Primary Methods for Coordinating the Interruption of People in Human-Computer Interaction , 2002, Hum. Comput. Interact..

[6]  K. O. Jensen Business Games as Strategic Team-Learning Environments in Telecommunications , 2003 .

[7]  Steven John Simon,et al.  An examination of media richness theory in product Web site design: an empirical study , 2004 .

[8]  Ronald E. Rice,et al.  Configurations of Relationships in Different Media: FtF, Email, Instant Messenger, Mobile Phone, and SMS , 2007, J. Comput. Mediat. Commun..

[9]  Ronald E. Rice,et al.  Computer-Mediated Communication System Network Data: Theoretical Concerns and Empirical Examples , 1990, Int. J. Man Mach. Stud..

[10]  R. Rice,et al.  Comparing internet and mobile phone usage: digital divides of usage, adoption, and dropouts , 2003 .

[11]  Víctor M. González,et al.  No task left behind?: examining the nature of fragmented work , 2005, CHI.

[12]  Upkar Varshney,et al.  Mobile Commerce: Framework, Applications and Networking Support , 2002, Mob. Networks Appl..

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

[14]  Thomas Jackson,et al.  The cost of email interruption , 2001, Journal of Systems and Information Technology.

[15]  Susan G. Straus,et al.  Technology, Group Process, and Group Outcomes: Testing the Connections in Computer-Mediated and Face-to-Face Groups , 1997, Hum. Comput. Interact..

[16]  Eric Horvitz,et al.  Conversations Amidst Computing: A Study of Interruptions and Recovery of Task Activity , 2007, User Modeling.

[17]  Víctor M. González,et al.  Why do i keep interrupting myself?: environment, habit and self-interruption , 2011, CHI.

[18]  Xiaohui Liu,et al.  Editorial: Data mining for understanding user needs , 2010, TCHI.

[19]  Clifford Nass,et al.  Cognitive control in media multitaskers , 2009, Proceedings of the National Academy of Sciences.

[20]  Henry Mintzberg Structured Observation as a Method to Study Managerial Work , 1970, Managerial Work.

[21]  Malcolm R. Parks,et al.  Cues Filtered Out, Cues Filtered In: Computer-Mediated Communication and Relationships , 2002 .

[22]  J. Webster,et al.  Making Connections: Complementary Influences on Communication Media Choices, Attitudes, and Use , 2000 .

[23]  Brian P. Bailey,et al.  Oasis: A framework for linking notification delivery to the perceptual structure of goal-directed tasks , 2010, TCHI.

[24]  Paul Atchley,et al.  Potential Benefits and Costs of Concurrent Task Engagement to Maintain Vigilance , 2011, Hum. Factors.

[25]  Yoram M. Kalman,et al.  Online Pauses and Silence: Chronemic Expectancy Violations in Written Computer-Mediated Communication , 2011, Commun. Res..

[26]  Judith S. Olson,et al.  Groupwork close up: a comparison of the group design process with and without a simple group editor , 1993, TOIS.

[27]  A. Dennis,et al.  Paradox of richness: a cognitive model of media choice , 2005, IEEE Transactions on Professional Communication.

[28]  J. Walther,et al.  Interpersonal and Hyperpersonal Dimensions of Computer‐Mediated Communication , 2015 .

[29]  R DennisAlan,et al.  Testing Media Richness Theory in the New Media , 1998 .

[30]  P. M. Saunders,et al.  Experiential learning, Cases, and Simulations in Business Communication , 1997 .

[31]  Víctor M. González,et al.  "Constant, constant, multi-tasking craziness": managing multiple working spheres , 2004, CHI.

[32]  D. Norman,et al.  Psychological Issues in Support of Multiple Activities , 1986 .

[33]  Alan R. Dennis,et al.  Testing Media Richness Theory in the New Media: The Effects of Cues, Feedback, and Task Equivocality , 1998, Inf. Syst. Res..

[34]  Eija Ventola,et al.  Handbook of interpersonal communication , 2008 .

[35]  J. Wajcman,et al.  Constant Connectivity: Rethinking Interruptions at Work , 2011 .

[36]  Sukeshini A. Grandhi,et al.  Technology-mediated interruption management , 2010, Int. J. Hum. Comput. Stud..

[37]  Raquel Benbunan-Fich,et al.  Self-interruptions in discretionary multitasking , 2013, Comput. Hum. Behav..

[38]  Ernesto Arroyo,et al.  Attention and Intention Goals Can Mediate Disruption in Human-Computer Interaction , 2011, INTERACT.

[39]  Alain Pinsonneault,et al.  The many faces of information technology interruptions: a taxonomy and preliminary investigation of their performance effects , 2015, Inf. Syst. J..