23 research outputs found
HCI MARKERS: A CONCEPTUAL FRAMEWORK FOR USING HUMAN-COMPUTER INTERACTION DATA TO DETECT DISEASE PROCESSES
CHRONEMIC ASPECTS OF CHAT, AND THEIR RELATIONSHIP TO TRUST IN A VIRTUAL TEAM
How does user personality impact pauses in online synchronous chat, and how do these pauses correlate with the development of trust in online teams? An analysis of hundreds of short chat sessions which took place between 62 pairs of participants in the DayTrader social dilemma game reveals a link between chronemic (time-related) variables and personality traits. The three chronemic variables that were analyzed, interpost pause, switching pause, and personal rhythm, were shorter in players who rated higher on extraversion, and longer in players who rated higher on agreeableness. The relationship between extraversion and shorter pauses is comparable to similar findings in spoken communication, while the relationship with agreeableness is novel. Furthermore, an analysis of the relationships between the three chronemic variables and the establishment of trust in the virtual teams confirms the hypothesis that longer pauses are associated with decreased trust. Three non mutually exclusive explanations are offered for this association: 1) longer pauses cause the decrease in trust; 2) longer pauses are the result of increased cognitive load associated with deception creation; and, 3) longer pauses are the result of increased efforts related to the suspicion that deception is taking place
Detecting Linguistic HCI Markers in an Online Aphasia Support Group
ABSTRACT Aphasia is an acquired language disorder resulting from trauma or injury to language areas of the brain. Despite extensive research on the impact of aphasia on traditional forms of communication, little is known about the impact of aphasia on computer-mediated communication (CMC). In this study we asked whether the welldocumented language deficits associated with aphasia can be detected in online writing of people with aphasia. We analyzed 150 messages (14,754 words) posted to an online aphasia support forum, by six people with aphasia and by four controls. Significant linguistic differences between people with aphasia and controls were detected, suggesting five putative linguistic HCI markers for aphasia. These findings suggest that interdisciplinary research on communication disorders and CMC has both applied and theoretical implications