Does Who Matter?: Studying the Impact of Relationship Characteristics on Receptivity to Mobile IM Messages

This study examines the characteristics of mobile instant-messaging users' relationships with their social contacts and the effects of both relationship and interruption context on four measures of receptivity: Attentiveness, Responsiveness, Interruptibility, and Opportuneness. Overall, interruption context overshadows relationship characteristics as predictors of all four of these facets of receptivity; this overshadowing was most acute for Interruptibility and Opportuneness, but existed for all factors. In addition, while Mobile Maintenance Expectation and Activity Engagement were negatively correlated with all receptivity measures, each such measure had its own set of predictors, highlighting the conceptual differences among the measures. Finally, delving more deeply into potential relationship effects, we found that a single, simple closeness question was as effective at predicting receptivity as the 12-item Unidimensional Relationship Closeness Scale.

[1]  Fahim Kawsar,et al.  Mindful interruptions: a lightweight system for managing interruptibility on wearables , 2018, WearSys@MobiSys.

[2]  John C. Tang,et al.  Investigating Mobile Users' Ringer Mode Usage and Attentiveness and Responsiveness to Communication , 2015, MobileHCI.

[3]  Tricia J. Burke,et al.  Channel complementarity and multiplexity in long-distance friends’ patterns of communication technology use , 2018, New Media Soc..

[4]  Susan R. Fussell,et al.  IM waiting: timing and responsiveness in semi-synchronous communication , 2008, CSCW.

[5]  S. Gächter,et al.  Measuring the Closeness of Relationships: A Comprehensive Evaluation of the 'Inclusion of the Other in the Self' Scale , 2015, PloS one.

[6]  Martin Pielot,et al.  Dismissed!: a detailed exploration of how mobile phone users handle push notifications , 2018, MobileHCI.

[7]  John Zimmerman,et al.  "You Never Call, You Never Write": Call and SMS Logs Do Not Always Indicate Tie Strength , 2015, CSCW.

[8]  Moushumi Sharmin,et al.  Assessing the availability of users to engage in just-in-time intervention in the natural environment , 2014, UbiComp.

[9]  Jayson L. Dibble,et al.  The Unidimensional Relationship Closeness Scale (URCS): reliability and validity evidence for a new measure of relationship closeness. , 2012, Psychological assessment.

[10]  Christopher G. Atkeson,et al.  Predicting human interruptibility with sensors: a Wizard of Oz feasibility study , 2003, CHI '03.

[11]  John Zimmerman,et al.  Are you close with me? are you nearby?: investigating social groups, closeness, and willingness to share , 2011, UbiComp '11.

[12]  Mirco Musolesi,et al.  Investigating The Role of Task Engagement in Mobile Interruptibility , 2015, MobileHCI Adjunct.

[13]  Eric Horvitz,et al.  Notifications and awareness: a field study of alert usage and preferences , 2010, CSCW '10.

[14]  Jonathan Pettigrew,et al.  Text Messaging and Connectedness Within Close Interpersonal Relationships , 2009 .

[15]  Jari Saramäki,et al.  Persistence of social signatures in human communication , 2012, Proceedings of the National Academy of Sciences.

[16]  Frank M. Schneider,et al.  "I know you've seen it!" Individual and social factors for users' chatting behavior on Facebook , 2015, Comput. Hum. Behav..

[17]  Scott E. Hudson,et al.  Communication characteristics of instant messaging: effects and predictions of interpersonal relationships , 2006, CSCW '06.

[18]  Stephanie Rosenthal,et al.  Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models , 2011, Pervasive.

[19]  Dongman Lee,et al.  Don't Bother Me. I'm Socializing!: A Breakpoint-Based Smartphone Notification System , 2017, CSCW.

[20]  Richard Ling,et al.  Hyper-coordination via mobile phones in Norway , 2002 .

[21]  Martin Pielot,et al.  An in-situ study of mobile phone notifications , 2014, MobileHCI '14.

[22]  Alireza Sahami Shirazi,et al.  Assessment of Notifications on Smartwatches , 2015, MobileHCI Adjunct.

[23]  Mary Czerwinski,et al.  Instant Messaging: Effects of Relevance and Timing , 2000 .

[24]  Malcolm R. Parks Making Friends in Cyberspace , 1996, J. Comput. Mediat. Commun..

[25]  Lawrence B. Holder,et al.  Thyme: Improving Smartphone Prompt Timing Through Activity Awareness , 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

[26]  Elizabeth F. Churchill,et al.  Faceted identity, faceted lives: social and technical issues with being yourself online , 2011, CSCW.

[27]  Robin I. M. Dunbar,et al.  Communication in social networks: Effects of kinship, network size, and emotional closeness , 2011 .

[28]  Alireza Sahami Shirazi,et al.  Large-scale assessment of mobile notifications , 2014, CHI.

[29]  Martin Pielot,et al.  Didn't you see my message?: predicting attentiveness to mobile instant messages , 2014, CHI.

[30]  Susanne Boll,et al.  Sensor-Based Identification of Opportune Moments for Triggering Notifications , 2014, IEEE Pervasive Computing.

[31]  Georg Groh,et al.  Studying how character of conversation affects personal receptivity to mobile notifications , 2014, CHI Extended Abstracts.

[32]  A. Aron,et al.  Inclusion of Other in the Self Scale and the structure of interpersonal closeness , 1992 .

[33]  Mirco Musolesi,et al.  My Phone and Me: Understanding People's Receptivity to Mobile Notifications , 2016, CHI.

[34]  Artemio Ramirez,et al.  `IM me': Instant messaging as relational maintenance and everyday communication , 2009 .

[35]  Janne Lindqvist,et al.  How Busy Are You?: Predicting the Interruptibility Intensity of Mobile Users , 2017, CHI.

[36]  Takahiro Tanaka,et al.  Study of user interruptibility estimation based on focused application switching , 2011, CSCW '11.

[37]  Mirco Musolesi,et al.  Designing content-driven intelligent notification mechanisms for mobile applications , 2015, UbiComp.

[38]  Steve Whittaker,et al.  The character, functions, and styles of instant messaging in the workplace , 2002, CSCW '02.

[39]  G. Henri ter Hofte,et al.  Xensible interruptions from your mobile phone , 2007, Mobile HCI.

[40]  Brian P. Bailey,et al.  Effects of intelligent notification management on users and their tasks , 2008, CHI.

[41]  Esteban Moro Egido,et al.  Temporal patterns behind the strength of persistent ties , 2017, EPJ Data Science.

[42]  Jessica Vitak,et al.  Facebook makes the heart grow fonder: relationship maintenance strategies among geographically dispersed and communication-restricted connections , 2014, CSCW.

[43]  Joyce Ho,et al.  Using context-aware computing to reduce the perceived burden of interruptions from mobile devices , 2005, CHI.

[44]  Martin Pielot,et al.  Beyond Interruptibility , 2017, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

[45]  Tadashi Okoshi,et al.  Reducing users' perceived mental effort due to interruptive notifications in multi-device mobile environments , 2015, UbiComp.

[46]  Jeffrey A. Hall,et al.  Calling and texting (too much): Mobile maintenance expectations, (over)dependence, entrapment, and friendship satisfaction , 2012, New Media Soc..

[47]  Georg Groh,et al.  Conversational context helps improve mobile notification management , 2016, MobileHCI.

[48]  Martin Pielot,et al.  I'll be there for you: Quantifying Attentiveness towards Mobile Messaging , 2015, MobileHCI.

[49]  Kyung-Hee Kim,et al.  Cying for Me, Cying for Us: Relational Dialectics in a Korean Social Network Site , 2007, J. Comput. Mediat. Commun..

[50]  Steve Benford,et al.  Effects of content and time of delivery on receptivity to mobile interruptions , 2010, Mobile HCI.

[51]  Christopher G. Atkeson,et al.  Predicting human interruptibility with sensors , 2005, TCHI.

[52]  Steve Benford,et al.  Investigating episodes of mobile phone activity as indicators of opportune moments to deliver notifications , 2011, Mobile HCI.

[53]  P. Vorderer,et al.  Permanently Online Permanently Connected Living and Communicating in a POPC World 1st Edition , 2017 .

[54]  Martin Pielot,et al.  Large-scale evaluation of call-availability prediction , 2014, UbiComp.

[55]  Shelly Farnham,et al.  Life "modes" in social media , 2011, CHI.

[56]  Stuart M. Allen,et al.  Push or Delay? Decomposing Smartphone Notification Response Behaviour , 2015, HBU.

[57]  Mirco Musolesi,et al.  InterruptMe: designing intelligent prompting mechanisms for pervasive applications , 2014, UbiComp.

[58]  Sabine Trepte,et al.  Reinforcement or Displacement? The Reciprocity of FtF, IM, and SNS Communication and Their Effects on Loneliness and Life Satisfaction , 2017, J. Comput. Mediat. Commun..

[59]  John Dimmick,et al.  The niches of interpersonal media: Relationships in time and space , 2011, New Media Soc..

[60]  Mark Aakhus,et al.  Perpetual Contact: Mobile Communication, Private Talk, Public Performance , 2002 .

[61]  P. V. Marsden,et al.  Measuring Tie Strength , 1984 .