Topic
Interpersonal communication
About: Interpersonal communication is a research topic. Over the lifetime, 26243 publications have been published within this topic receiving 767999 citations.
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Book•
01 Nov 1985
TL;DR: In this article, the authors present a survey of the current trends in the study of personal communication and its application in the field of computer mediated communication and relationships, including the following: 1. Basic Issues and Approaches 1. Perspectives on Inquiry II.
Abstract: I. Basic Issues and Approaches 1. Background and Current Trends in the Study of Interpersonal Communication - M. Knapp, J. Daly, K. Albada, G. Miller II. Perspectives on Inquiry 2. Hypothesis Testing and Modeling Perspectives on Inquiry - M. Poole, R. McPhee, D. Canary, M. Morr 3. Perspectives on Inquiry III - A. Bochner 4. Discourse Analysis - J. Bavelas, C. Kenwood, & B. Phillips III. Fundamental Units 5. Personality and Interpersonal Communication - J. Daly 6. Goals and Knowledge Structures in Social Interaction - C. Berger 7. Language and Interpersonal Communication - S. Jacobs 8. Nonverbal Signals - J. Burgoon & G. Hoobler 9. Culture, Meaning, and Interpersonal Communication - J. Streeck IV. Processes and Functions 10. Emotional Communication - S. Metts & S. Planalp 11. Supportive Communication - B. Burleson & E. MacGeorge 12. Interpersonal Influence - J. Dillard, J. Anderson, & L. Knobloch 13. Interpersonal Conflict: A Review - M. Roloff & K. Soule 14. Cues Filtered Out, Cues Filtered In: Computer Mediated Communication and Relationships - J. Walther & M. Parks 15. Interpersonal Skills - B. Spitzberg & W. Cupach V. Contexts 16. An Ecological Systems Perspective on Workplace Relationships - P. Sias, K. Krone, & F. Jablin 17. Interpersonal Processes in Romantic Relationships - A. Vangelisti 18. Interpersonal Communication and Health Care - T. Thompson & R. Parrott 19. Interpersonal Communication in Family Relationships - M. Fitzpatrick & J. Caughlin Author Index Subject Index About the Editors, About the Contributors
849 citations
Book•
01 Jan 1984
TL;DR: The first thorough review and analysis of the extensive research literature on nonverbal sex differences among infants, children, and adults can be found in this paper, where the authors summarized and explored data on non-verbal skill and style differences, including the sending and judging of nonverbal cues of emotion, facial expression, gaze, interpersonal distance, touch, body movement, and nonverbal speech characteristics.
Abstract: This is the first thorough review and analysis of the extensive research literature on nonverbal sex differences among infants, children, and adults. Judith A. Hall summarizes and explores data on nonverbal skill and style differences, including the sending and judging of nonverbal cues of emotion, facial expression, gaze, interpersonal distance, touch, body movement, and nonverbal speech characteristics. Popular authors and scholars alike have advanced the argument that women's low social status has accounted for their nonverbal skills and expressive style. Hall pays particular attention to examining this "oppressive hypothesis". Explanations for nonverbal sex differences surely have much to do with cultural expectations and social learning processes, she argues, but to unravel the exact causal influences is a complex task, one that has hardly begun.
844 citations
TL;DR: This article explored the effects of computer conferencing on the interpersonal messages with which people define their relationships, known as relational communication, and found that CMC partners get to know and come to relate to each other through CMC.
Abstract: Previous research on the interpersonal effects of computer-mediated communication (CMC) reveals inconsistencies. In some cases CMC has been found to be impersonal, task-oriented, and hostile. Other reports show warm personal relations, and still others show gradual adjustments in interpersonal relations over time. The past research results are also difficult to compare, as their research methods reveal inconsistent approaches. These inconsistencies include the treatment of time limits on group development, the neglect of nonverbal behavior in face-to-face, comparison groups, and other measurement issues. Each of these factors may obscure our understanding of the way CMC partners get to know and come to relate to each other through CMC. The present study attempts to address some of these concerns. This study explored the effects of computer conferencing on the interpersonal messages with which people define their relationships, known as relational communication. Observers rated the relational communication...
835 citations
TL;DR: A meta-analysis of 57 empirical studies concerning enacted workplace aggression shows that both individual and situational factors predict aggression and that the pattern of predictors is target specific.
Abstract: The authors conducted a meta-analysis of 57 empirical studies (59 samples) concerning enacted workplace aggression to answer 3 research questions. First, what are the individual and situational predictors of interpersonal and organizational aggression? Second, within interpersonal aggression, are there different predictors of supervisor- and coworker-targeted aggression? Third, what are the relative contributions of individual (i.e., trait anger, negative affectivity, and biological sex) and situational (i.e., injustice, job dissatisfaction, interpersonal conflict, situational constraints, and poor leadership) factors in explaining interpersonal and organizational aggression? Results show that both individual and situational factors predict aggression and that the pattern of predictors is target specific. Implications for future research are discussed.
835 citations
08 Sep 2003
TL;DR: It is argued that next-generation human-computer interaction (HCI) designs need to include the essence of emotional intelligence - the ability to recognize a user's affective states- in order to become more human-like, more effective, and more efficient.
Abstract: The ability to recognize affective states of a person we are communicating with is the core of emotional intelligence. Emotional intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for successful interpersonal social interaction. This paper argues that next-generation human-computer interaction (HCI) designs need to include the essence of emotional intelligence - the ability to recognize a user's affective states-in order to become more human-like, more effective, and more efficient. Affective arousal modulates all nonverbal communicative cues (facial expressions, body movements, and vocal and physiological reactions). In a face-to-face interaction, humans detect and interpret those interactive signals of their communicator with little or no effort. Yet design and development of an automated system that accomplishes these tasks is rather difficult. This paper surveys the past work in solving these problems by a computer and provides a set of recommendations for developing the first part of an intelligent multimodal HCI-an automatic personalized analyzer of a user's nonverbal affective feedback.
823 citations