Modern methods for traditional tasks: Developing an electronic version of student fieldwork assessment at The University of Queensland.

Fieldwork placements are an integral part of many professional tertiary programmes. At The University of Queensland, Occupational Therapy students undertake block fieldwork affiliations off campus at a wide range of sites as part of their studies. Students’ fieldwork performance has traditionally been assessed using a hard copy format of the Student Placement Evaluation Form (SPEF), which is posted to the university on completion by the clinical supervisor. This project aimed to develop an electronic version of the UQ Occupational Therapy Student Placement Evaluation Form (SPEF), to allow the assessment to be completed and returned in an on line format. Practitioners had become very comfortable with using the existing print based form so in order to encourage and assist users to extend beyond their comfort zones, numerous steps were taken to ease the learning process including incorporating the existing page layout, consistent colour coding, considerable user instruction, testing and software enhancement cycles. Additionally, the e-version of the SPEF aimed to provide a range of benefits such as on screen assistance in the form of instructions, roll overs and feedback to supervisors, increased accuracy, faster completion, cost savings to the School, up to date design, improved security and confidential and anonymous storage of fieldwork results for potential future research.

Comparison of cognitive screening tasks in an elderly veteran population

Screening measures of cognitive status are traditionally administered face to face. In survey research such screening mcasurcs, while desirable, must he administered by other means. As part of pilot survey research on a New Zealand war veteran population with some degree of hearing impairment, a face-to-face administration of the Mini-Mental State Examination (MMSE; Folstein, Folstein and McHugh, 1975) and a telephoneadministration of the Telephonc Interview for Cognitive Status (TICS; Brandt, Spencer and Folstein. 1988) were compared. Brandt ('/ u/. (1988) reported a very strong linear relationship between scores on the MMSE and the TICS (r=0.94, p < .0001) in an Alzheimer patient population with a mcan MMSE score of 12.06 (6.78). For a sample of 44 mildly to moderately hearing impaired veterans, with a mean MMSE score of 25.52 (2.16) and a mean TICS score of 32.52(5.43), the correlation between the instruments was .39. When veterans who wore hearing aids during the telephone interview ( N = 2 2 ) wcrc separated out from those who did not, the correlation rose to .54. Age was ncgatively correlated with the MMSE ( r = -0.41, / I < .01) and not significantly correlated with the TICS. Education level was unrelated to either measure. The data suggest that the wearing or non-wearing of hearing aids may contribute significantly to the reliability of the TICS. Furthermore, on non-demented populations with a less restricted range of scores. the correlation of the MMSE and TICS may he lower than previously reported.

UQ RoboRoos: Achieving power and agility in a small size robot

The UQ RoboRoos have been developed to participate in the RoboCup robot soccer small size league over several years. RoboCup 2001 saw a focus on the mechanical design of the RoboRoos, with the introduction of an omni-directional drive system and a high power kicker. The change in mechanical design had implications for the rest of the system particularly navigation and multi-robot planning. In addition, the overhead vision system was upgraded to improve reliability and robustness.

Hippocampal models for simultaneous localisation and mapping on an autonomous robot

To navigate successfully in a novel environment a robot needs to be able to Simultaneously Localize And Map (SLAM) its surroundings. The most successful solutions to this problem so far have involved probabilistic algorithms, but there has been much promising work involving systems based on the workings of part of the rodent brain known as the hippocampus. In this paper we present a biologically plausible system called RatSLAM that uses competitive attractor networks to carry out SLAM in a probabilistic manner. The system can effectively perform parameter self-calibration and SLAM in onedimension. Tests in two dimensional environments revealed the inability of the RatSLAM system to maintain multiple pose hypotheses in the face of ambiguous visual input. These results support recent rat experimentation that suggest current competitive attractor models are not a complete solution to the hippocampal modelling problem.