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Dive into the research topics where Lauren E. Scissors is active.

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Featured researches published by Lauren E. Scissors.


Psychological Science | 2011

Language Style Matching Predicts Relationship Initiation and Stability

Molly Ireland; Richard B. Slatcher; Paul W. Eastwick; Lauren E. Scissors; Eli J. Finkel; James W. Pennebaker

Previous relationship research has largely ignored the importance of similarity in how people talk with one another. Using natural language samples, we investigated whether similarity in dyads’ use of function words, called language style matching (LSM), predicts outcomes for romantic relationships. In Study 1, greater LSM in transcripts of 40 speed dates predicted increased likelihood of mutual romantic interest (odds ratio = 3.05). Overall, 33.3% of pairs with LSM above the median mutually desired future contact, compared with 9.1% of pairs with LSM at or below the median. In Study 2, LSM in 86 couples’ instant messages positively predicted relationship stability at a 3-month follow-up (odds ratio = 1.95). Specifically, 76.7% of couples with LSM greater than the median were still dating at the follow-up, compared with 53.5% of couples with LSM at or below the median. LSM appears to reflect implicit interpersonal processes central to romantic relationships.


human factors in computing systems | 2009

In CMC we trust: the role of similarity

Lauren E. Scissors; Alastair J. Gill; Kathleen Geraghty; Darren Gergle

This paper examines how different forms of linguistic similarity in a text-chat environment relate to the establishment of interpersonal trust. Sixty-two pairs played an iterative social dilemma investment game and periodically communicated via Instant Messenger (IM). Novel automated and manual analysis techniques identify linguistic similarity at content, structural and stylistic levels. Results reveal that certain types of content (some positive emotion words, task-related words), structural (verb tense, phrasal entrainment), and stylistic (emoticons) similarity characterize high trusting pairs while other types of similarity (e.g., negative emotion words) characterize low trusting pairs. Contrary to previous literature, this suggests that not all similarity is good similarity.


conference on computer supported cooperative work | 2008

Linguistic mimicry and trust in text-based CMC

Lauren E. Scissors; Alastair J. Gill; Darren Gergle

This study examines the relationship between linguistic mimicry and trust establishment in a text-chat environment. Twenty-six participant pairs engaged in a social dilemma investment game and chatted via Instant Messenger (IM) after every five rounds of investment. Results revealed that, within chat sessions, lexical mimicry (repetition of words or word phrases by both partners) was significantly higher for high-trusting pairs than for low-trusting pairs, but that lexical mimicry across chat sessions was significantly higher for low-trusting pairs than for high-trusting pairs. Theoretical and applied implications are discussed.


conference on computer supported cooperative work | 2013

Back and forth, back and forth: channel switching in romantic couple conflict

Lauren E. Scissors; Darren Gergle

This work explores the act of channel switching, or switching between forms of face-to-face (FtF) and mediated communication (e.g., text messaging, instant messaging) during romantic couple conflict. Interviews were conducted with 24 individuals currently involved in a non-cohabitating romantic dating relationship of 3 months or longer. Results revealed that many patterns of channel switching are used during conflict, including switches from mediated to FtF communication and from FtF to mediated communication. In addition, participants had a number of interpersonal motivations for initiating a channel switch, including avoiding conflict escalation, managing ones emotions, and attempting to reach a resolution. Theoretical and design implications are discussed.


human factors in computing systems | 2014

Room for interpretation: the role of self-esteem and CMC in romantic couple conflict

Lauren E. Scissors; Michael E. Roloff; Darren Gergle

This work explores the role of communication technologies during romantic couple conflict, and the impact that self-esteem has on behavior, preferences for communication channels, and attitudes about mediated communication during conflict. Results revealed that lower levels of self-esteem and communicating via text messaging (vs. face-to-face) were associated with increased distancing and perceived partner distancing behaviors. Lower levels of self-esteem and using mediated communication were also associated with a greater likelihood of thinking that a conflict had a negative impact on the relationship. Yet, there was no evidence to suggest that individuals with lower levels of self-esteem exhibited more negative behaviors and perceptions in text-based communication than in FtF communication. In addition, lower levels of self-esteem were associated with increased use of and preferences for text-based mediated communication over FtF communication during conflict. Overall, this study suggests that both self-esteem and communication channel impact the nature of romantic couple conflict.


human factors in computing systems | 2012

Making the switch: channel switching in romantic couple conflict

Lauren E. Scissors

This work explores the role of channel switching, or switching between forms of face-to-face and mediated communication (e.g., text messaging, instant messaging) in romantic couple conflict. Exploratory interviews were conducted with 24 individuals currently involved in a romantic relationship of at least 3 months. Initial results indicate that many patterns of channel switching are used during conflict and that participants have a number of motivations for initiating a channel switch. Implications for the design of communication technologies for romantic couples are discussed.


conference on computer supported cooperative work | 2013

The role of communication channel and self-esteem in romantic couple conflict

Lauren E. Scissors

This work explores the role of self-esteem and communication channel (i.e., face-to-face and computer-mediated communication) during romantic couple conflict. Interviews revealed that couples use a variety of channels during conflict that provide both benefits and drawbacks. To better understand these communication processes, I will conduct a lab study where couples discuss a conflict either FtF or over instant messenger (IM). I hypothesize that low self-esteem individuals will report more negative message interpretation, communication quality, and relationship satisfaction via IM than via FtF communication since the ambiguity of CMC allows them more room to project their negative biases onto their partners.


conference on computer supported cooperative work | 2016

On the bias: Self-esteem biases across communication channels during romantic couple conflict

Lauren E. Scissors; Darren Gergle

Are ones individual biases stronger when mediated communication is used? This paper examines the role of self-esteem-related biases and communication channel during romantic couple conflict. Romantic couples communicated about a conflict either face-to-face (FtF) or via instant messenger (IM). Results revealed that for people with lower levels of self-esteem, their negative biases were triggered when they communicated with their partners via IM; people with lower levels of self-esteem had more negative assessments of the conflict discussion and of the impact of the discussion on the relationship when communicating via IM than when communicating FtF. At a theoretical level, this work deepens our understanding of how individual difference variables like self-esteem impact how individuals process information and communicate via technology. At a practical level, findings suggest that the use of mediated communication during conflict is more harmful to certain individuals than to others.


Journal of Personality and Social Psychology | 2007

Vengefully Ever After: Destiny Beliefs, State Attachment Anxiety, and Forgiveness

Eli J. Finkel; Jeni L. Burnette; Lauren E. Scissors


Computers in Human Behavior | 2013

Online chronemics convey social information

Yoram M. Kalman; Lauren E. Scissors; Alastair J. Gill; Darren Gergle

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Yoram M. Kalman

Open University of Israel

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James W. Pennebaker

University of Texas at Austin

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