The F@ Framework of Designing Awareness Mechanisms in Instant Messaging

This paper presents our research on awareness support in Instant Messaging (IM). The paper starts with a brief overview of empirical study of IM, using an online survey and face-to-face interviews to identify user needs for awareness support. The study identified a need for supporting four aspects of awareness, awareness of multiple concurrent conversations, conversational awareness, presence awareness of a group conversation, and visibility of moment-to-moment listeners and viewers. Based on the empirical study and existing research on awareness, we have developed the F@ (read as fat) framework of awareness. F@ comprises of the abstract level and the concrete level. The former includes an in-depth description of various awareness aspects in IM, whilst the latter utilises temporal logic to formalise fundamental time-related awareness aspects. F@ helps developers gain a better understanding of awareness and thereby design usable mechanisms to support awareness. Applying F@, we have designed several mechanisms to support various aspect of awareness in IM

Collaborative design : managing task interdependencies and multiple perspectives

This paper focuses on two characteristics of collaborative design with respect to cooperative work: the importance of work interdependencies linked to the nature of design problems; and the fundamental function of design cooperative work arrangement which is the confrontation and combination of perspectives. These two intrinsic characteristics of the design work stress specific cooperative processes: coordination processes in order to manage task interdependencies, establishment of common ground and negotiation mechanisms in order to manage the integration of multiple perspectives in design

A conversation analysis of the Iranian youths\u27 written chats of English

The ever-increasing application of computer and internet mandates a longer domain for computer-mediated-communication (CMC). Internet chat as a principal feature of CMC has attracted tremendous attention among the youths in recent years. Thus, this study has focused on the written chats of 100 Iranian university students majoring in different disciplines. We analyzed 400 chat samples (composed of 4000 moves) in terms of opening and continuing speech functions based on Eggins and Slade&rsquo;s (1997) model of casual conversation. We also examined humor and paralinguistic features based on taxonomies of Huffaker and Calvert (2005) and Nastri, Pen a, and Hancock (2006). Among the various types of speech functions, nine opening speech functions, seven continuing speech functions and four humor and paralinguistic features were investigated. The analysis of the data shows that the salient opening speech function has been&lsquo; statement: opinion&rsquo; which provides attitudinal and evaluative information. Additionally, the outstanding types of continuing speech functions are &lsquo;prolong: extend&rsquo;, &lsquo;prolong: enhance&rsquo;, and &lsquo;append: elaborate&rsquo;. Therefore, it is in order for the participants to offer additional or contrasting information to the previous move or qualify it by giving details of time, place, condition, etc. Moreover, in case of interruption by the other chatter, the participants mostly tend to clarify, exemplify or reiterate the previous move. Furthermore, the participants produced irony, as a humorous element, in a great volume which is indicative of their tendency toward being indirect during conversation. The subjects also used many paralinguistic features such as misspellings and repeated punctuations in order to express their emotions and attract their partners&rsquo; attention in the absence of verbal communication.<br /

Practical Strategies for Integrating a Conversation Analyst in an Iterative Design Process

We present a case study of an iterative design process that includes a conversation analyst. We discuss potential benefits of conversation analysis for design, and we describe our strategies for integrating the conversation analyst in the design process. Since the analyst on our team had no previous exposure to design or engineering, and none of the other members of our team had any experience with conversation analysis, we needed to build a foundation for our interaction. One of our key strategies was to pair the conversation analyst with a designer in a highly interactive collaboration. Our tactics have been effective on our project, leading to valuable results that we believe we could not have obtained using another method. We hope that this paper can serve as a practical guide to those interested in establishing a productive and efficient working relationship between a conversation analyst and the other members of a design team.Comment: 11 page