Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This study analyzed rhythm and timing in 18 instant messenger (IM) conversations beten one advisor and four graduate students (4 dyads), hypothesizing that individuals would show a consistent style across sessions but would differ from one another across dyads. ANOVA results supported the hypotheses for individual students and dyads; hover, the advisor varied the timing of her messages to harmonize with the students’ preferred temporal styles. These findings suggest that individuals’ temporal consistency with themselves may be disrupted if they accommodate to others; advisors may be especially likely to do this. A correlation was also found beten number of characters and seconds per message across sessions, on the basis of which  posit an overall temporal profile for dyadic IM. Implications of the findings are discussed for online advising, instruction, and system design.
['Amaury de Siqueira', 'Susan C. Herring']
I am writing a research paper on a idea Temporal Patterns in Student-Advisor Instant Messaging Exchanges: Individual Variation and Accommodation
[{"from": "human", "value": "I am writing a research paper on a idea Temporal Patterns in Student-Advisor Instant Messaging Exchanges: Individual Variation and Accommodation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This study analyzed rhythm and timing in 18 instant messenger (IM) conversations beten one advisor and four graduate students (4 dyads), hypothesizing that individuals would show a consistent style across sessions but would differ from one another across dyads. ANOVA results supported the hypotheses for individual students and dyads; hover, the advisor varied the timing of her messages to harmonize with the students\u2019 preferred temporal styles. These findings suggest that individuals\u2019 temporal consistency with themselves may be disrupted if they accommodate to others; advisors may be especially likely to do this. A correlation was also found beten number of characters and seconds per message across sessions, on the basis of which  posit an overall temporal profile for dyadic IM. Implications of the findings are discussed for online advising, instruction, and system design."}]