Using Ambient Social Reminders to Stay in Touch with Friends

2010 ◽  
pp. 2164-2171
Author(s):  
Ross Shannon ◽  
Eugene Kenny ◽  
Aaron Quigley
Keyword(s):  
Information Technology ◽  
Social Network ◽  
Social Interactions ◽  
Social Connectedness ◽  
Instant Messaging ◽  
Time Interval ◽  
Face To Face ◽  
Healthy State ◽  
Circle Of Friends

Social interactions among a group of friends will typically have a certain recurring rhythm. Most people interact with their own circle of friends at a range of different rates, and through a range of different modalities (by email, phone, instant messaging, face-to-face meetings and so on). When these naturally recurring interactions are maintained effectively, people feel at ease with the quality and stability of their social network. Conversely, when a person has not interacted with one of their friends for a longer time interval than they usually do, a situation can be identified in that relationship which may require action to resolve. Here we discuss the opportunities we see in using ambient information technology to effectively support a user’s social connectedness. We present a social network visualisation which provides a user with occasional recommendations of which of their friends they should contact soon to keep their social network in a healthy state.

scholarly journals Using Ambient Social Reminders to Stay in Touch with Friends

2011 ◽  
pp. 157-164
Author(s):  
Ross Shannon ◽  
Eugene Kenny ◽  
Aaron Quigley
Keyword(s):  
Information Technology ◽  
Social Network ◽  
Social Interactions ◽  
Social Connectedness ◽  
Instant Messaging ◽  
Time Interval ◽  
Face To Face ◽  
Healthy State ◽  
Circle Of Friends

Social interactions among a group of friends will typically have a certain recurring rhythm. Most people interact with their own circle of friends at a range of different rates, and through a range of different modalities (by email, phone, instant messaging, face-to-face meetings and so on). When these naturally recurring interactions are maintained effectively, people feel at ease with the quality and stability of their social network. Conversely, when a person has not interacted with one of their friends for a longer time interval than they usually do, a situation can be identified in that relationship which may require action to resolve. Here we discuss the opportunities we see in using ambient information technology to effectively support a user’s social connectedness. We present a social network visualisation which provides a user with occasional recommendations of which of their friends they should contact soon to keep their social network in a healthy state.

scholarly journals The switching mechanisms of social network densification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Context ◽  
Social Interactions ◽  
Regime Switching ◽  
Face To Face ◽  
The Social ◽  
Switching Property ◽  
Distinctive Type ◽  
Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

Revisiting the Relationship Between Deception and Design: A Replication and Extension of Hancock et al. ()

2021 ◽  
Author(s):  
David M Markowitz
Keyword(s):  
Social Media ◽  
Social Interaction ◽  
Personality Traits ◽  
Social Interactions ◽  
Instant Messaging ◽  
Design Features ◽  
Technological Design ◽  
Face To Face ◽  
Video Chat ◽  
The Relationship

Abstract Evidence published nearly 20 years ago suggested people tell more lies per social interaction via synchronous, distributed, and recordless media (the phone) versus relatively richer (face-to-face communication) and leaner media (email, instant messaging). With nontrivial changes to the size and variety of our media landscape, it is worth re-examining the relationship between deception and technology. Over 7 days, 250 participants reported their social interactions and lies across face-to-face communication, social media, texting, the phone, video chat, and email. Replicating Hancock, Thom-Santelli, and Ritchie (2004), people told the most lies per social interaction over synchronous, distributed, and recordless media (the phone, video chat), though the effects were small and between-person effects explained more variance than between-media effects. Lying rates were also associated with aversive personality traits, plus antisocial, and relational deception motives. Together, while media options have evolved, technological design features often remain stable and indicate deception rates. Theoretical contributions are discussed.

Civic Engagement and Communication Technology Networks

2011 ◽  
pp. 51-66
Author(s):  
Philip J. Salem
Keyword(s):  
Social Network ◽  
Civic Engagement ◽  
Communication Networks ◽  
Communication Technology ◽  
Text Messaging ◽  
Electronic Communication ◽  
Instant Messaging ◽  
Social Network Sites ◽  
Face To Face

The researcher investigated face-to-face, telephone, email, private electronic, and public electronic communication networks. Private electronic communication networks develop through text messaging, instant messaging, and private chat, and public electronic communication networks emerge through the exchange of messages over blogs, social network sites, and Twitter. Results indicate individuals used different technology to develop different networks to assist them in different ways. Public electronic communication was unrelated to civic engagement.

scholarly journals Social Network Sites and Knowledge Transfer: An Urban Perspective

2020 ◽  
Vol 35 (4) ◽  
pp. 408-422 ◽  
Author(s):  
Emmanouil Tranos
Keyword(s):  
Social Network ◽  
Social Interactions ◽  
Media Studies ◽  
Knowledge Spillovers ◽  
Spatial Scales ◽  
Urban Sociology ◽  
Social Network Sites ◽  
Internet Technologies ◽  
Face To Face ◽  
Knowledge Transfers

This article surveys the literature to explore whether and how internet technologies and applications such as social network sites (SNS) support social interactions and, through them, knowledge transfers at different spatial scales and settings. By employing concepts from economic geography and combining them with ideas and empirics from urban sociology, business, and media studies, this article informs urban thinking about the underpinning mechanisms behind SNS-mediated vis-à-vis face-to-face knowledge-related interactions and how they mirror but also challenge established spatial patterns of knowledge spillovers.

scholarly journals Enhancing Students' Motivation using Facebook and SMS with Google Spreadsheets Support: A Comparative Study

2019 ◽  
Vol 3 (1) ◽  
pp. 19
Author(s):  
Chantorn Chaiprasurt
Keyword(s):  
Information Technology ◽  
Academic Performance ◽  
Social Network ◽  
Comparative Study ◽  
Learning Environments ◽  
Mobile Devices ◽  
Objective Assessment ◽  
Face To Face ◽  
Social Ability ◽  
Group Sharing

To the widespread use of wireless technologies, increased portable mobile devices and communication contributes to stimulate and encourage group sharing among instructors and students in the learning environments. Apt applications to boost old   face-to-face teaching were examined, which are SMS, Facebook and Google Spreadsheets. A research was used to actual analyze the influence on their interests. It took place over a period of 14 weeks, and the sample consisted of 42 students   in Information Technology for Social Network class. Three groups were involved, control (only supported by Google Spreadsheets), the first group (supported by Google Spreadsheets and SMS), and the second group (supported by Google Spreadsheets and Facebook). The effect of the applications, the results of subjective (attention, relevance, confidence, satisfaction and social ability) and objective assessment (engagement and academic performance) were compared among the three groups,  and by  using Google Spreadsheets  with SMS, and with Facebook were effective in improving their motivation. Notable difference in overall was, students preferred Google spreadsheets with SMS, where it enhanced their motivation when merge into learning.

Social anxiety is associated with similar emotional impairments during digital and face-to-face communication in daily life

2020 ◽  
Author(s):  
James Doorley ◽  
Kristina Volgenau ◽  
Kerry Kelso ◽  
Todd Barrett Kashdan ◽  
Alexander J. Shackman
Keyword(s):  
Social Anxiety ◽  
Digital Communication ◽  
Instant Messaging ◽  
Online Communication ◽  
Medium Study ◽  
Reconstruction Method ◽  
Communication Behaviors ◽  
Face To Face ◽  
Emotional Impairments ◽  
Emotional Safety

Background:Retrospective studies have found that people with elevated social anxiety (SA) show a preference for digital/online communication, which may be due to perceptions of enhanced emotional safety. Whether these preferences for/benefits of digital compared to face-to-face communication manifest in the real world has yet to be explored. Methods: We recruited samples of college students (N = 125) and community adults (N = 303) with varying levels of SA, sampled their emotions during digital and face-to-face communication using ecological momentary assessment (EMA) (Study 1) and a day reconstruction method (DRM) (Study 2), and preregistered our hypotheses (https://osf.io/e4y7x/). Results: Results from both studies showed that SA did not predict the likelihood of engaging in digital compared to face-to-face communication, and SA was associated with less positive and more negative emotions regardless of communication medium. Study 2 also showed that whether digital communication was synchronous (e.g., in real time via phone/video chat) or asynchronous (e.g., texting/instant messaging) did not impact the association between SA and emotions. Limitations: EMA and DRM methods, despite their many advantages, may be suboptimal for assessing the occurrence of digital communication behaviors relative to more objective methods (e.g., passively collecting smartphone communication data). Using event-contingent responding may have also yielded more reports of digital communication, thus strengthening our power to detect small, cross-level interaction effects. Conclusions:These results challenge beliefs that digital/online communication provides a source of emotional safety for people with elevated SA and suggests a greater need to address SA-related emotional impairments across digital communication platforms.

scholarly journals Perceived Intimacy Differences of Daily Online and Offline Interactions in People’s Social Network

Societies ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Emmelyn A. J. Croes ◽  
Marjolijn L. Antheunis
Keyword(s):  
Information Processing ◽  
Social Network ◽  
Social Information Processing ◽  
Media Use ◽  
Tie Strength ◽  
Information Processing Theory ◽  
Strong Ties ◽  
Social Information Processing Theory ◽  
Face To Face ◽  
Processing Theory

This study examined which media people use on a day-to-day basis to communicate and whether tie strength influenced this media use. Furthermore, we analyzed whether online and offline interactions differ in perceived intimacy and whether tie strength impacts perceived interaction intimacy: 347 real interactions of 9 participants (3 male, 6 female) were analyzed; 172 online (WhatsApp, Facebook Messenger, email, SMS interactions) and 175 offline (recorded phone and face-to-face conversations). The results revealed that the participants communicated most frequently face-to-face or via WhatsApp, especially with strong ties. Furthermore, participants rated their interactions with strong ties as more intimate compared to weak-tie interactions. Our findings have implications for Social Information Processing theory, as our findings show that people are equally able to communicate intimate messages online and offline.

35 Social Contact Mode and 15-Year Episodic Memory Trajectories in Older Adults with and Without Hearing Loss: the Elsa Study

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i7-i11
Author(s):  
S Rafnsson ◽  
A Maharani ◽  
G Tampubolon
Keyword(s):  
Older Adults ◽  
Hearing Loss ◽  
Social Network ◽  
Episodic Memory ◽  
Social Interactions ◽  
Social Contact ◽  
Sensitivity Analyses ◽  
Impaired Hearing ◽  
Contact Mode

Abstract Introduction Frequent social contact benefits cognition in later life although evidence is lacking on the potential importance of the modes chosen by older adults for interacting with others in their social network. Method 11,513 participants in the English Longitudinal Study of Ageing (ELSA) provided baseline information on hearing status and social contact mode and frequency of use. Multilevel growth curve models compared episodic memory (immediate and delayed recall) at baseline and long-term in participants who interacted frequently (offline only or offline and online combined), compared to infrequently, with others in their social network. Results Frequent offline (β = 0.29; p < 0.05) and combined offline and online (β = 0.76; p < 0.001) social interactions predicted better episodic memory after adjustment for multiple confounding factors. We observed positive long-term influences of combined offline and online interactions on memory in participants without hearing loss (β = 0.48, p = 0.001) but not of strictly offline interactions (β = 0.00, p = 0.970). In those with impaired hearing, long-term memory was positively influenced by both modes of engagement (offline only: β = 0.93, p < 0.001; combined online and offline: β = 1.47, p < 0.001). Sensitivity analyses confirmed the robustness of these findings. Conclusion Supplementing conventional social interactions with online communication modes may help older adults, especially those living with hearing loss, sustain, and benefit cognitively from, personal relationships.

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