Pattern Discovery of User Interface Sequencing by Rehabilitation Clients with Cognitive Impairments

Abstract

We demonstrate the use of sequence pattern mining as applied to monitoring the usage of emailing software by clients with cognitive impairments. We show how Max Motif, a sequence-mining algorithm, can be applied using a stream-mining approach. Consequently, clinicians can now consider sequential patterns in their analysis of client emailing behaviors. Such analysis is part of the Think and Link project, which provides personalized email clients, a kind of assistive technology, to aid client communications that facilitate activities of daily living. By using the simplified, customized system, clients can now email, whereas they could not previously. By continuously monitoring usage, the project is able continually adapt the software to a user's changing needs. Thus, monitoring software usage, particularly email event sequences, is important. This paper introduces theory and design of stream sequence-mining for UI event streams.

Discovery and diagnosis of behavioral transitions in patient event streams

“…Don also has periodic behavior of increasing emails after the introduction of a new buddy . A recent analysis of Don's sequences (e.g., read followed by compose) reveals that Don is becoming (1) more consistent over time because of the increasing length of nonvariable sequences and (2) becoming more conversational with email because of the increased usage of reply [Robinson et al 2012]. This latter point is significant, because it suggests that Don may be transitioning from using email for simple notifications (e.g., "I'm low on meds") or requests (e.g., "I need a ride to the library.")…”

“…Monitoring the TAL event stream has been critical to adapting the TAL interface. Over time, event monitoring and analysis has improved [Robinson and Akhlaghi 2010;Robinson et al , 2012Sutcliffe et al 2005].…”

Data Mining Behavioral Transitions in Open Source Repositories

“…The first column presents the concepts, which are defined in the second column, while the third column presents representative references. Simple difference metrics [38]; Markov probability distribution differences [22] 5 Aggregate sequential behavior transition diagnosis…”

Collaborative Video-Based Learning Using Tablet Computers to Teach Job Skills to Students with Intellectual Disabilities

“…To find and keep a job effectively, people with intellectual disabilities are trained in labour centres, where caregivers and teachers adapt their training to their students' needs. The traditional way of training and teaching these skills is task sequencing [2], which involves splitting the whole task into a sequence of simpler instructions. Although this training is prepared thoroughly, it presents some challenges: people with intellectual disabilities often have difficulties with reading, relocating themselves within a text when they become lost, looking for specific information about a certain instruction, and even understanding [3].…”