Taxonomic free sorting: a successful method with older consumers and a novel approach to preference mapping

Taxonomic free sorting (TFS) is a fast, reliable and new technique in sensory science. The method extends the typical free sorting task where stimuli are grouped according to similarities, by asking respondents to combine their groups two at a time to produce a hierarchy. Previously, TFS has been used for the visual assessment of packaging whereas this study extends the range of potential uses of the technique to incorporate full sensory analysis by the target consumer, which, when combined with hedonic liking scores, was used to generate a novel preference map. Furthermore, to fully evaluate the efficacy of using the sorting method, the technique was evaluated with a healthy older adult consumer group. Participants sorted eight products into groups and described their reason at each stage as they combined those groups, producing a consumer-specific vocabulary. This vocabulary was combined with hedonic data from a separate group of older adults, to give the external preference map. Taxonomic sorting is a simple, fast and effective method for use with older adults, and its combination with liking data can yield a preference map constructed entirely from target consumer data.

Visual sensor fusion for active security in robotic industrial environments

This work presents a method of information fusion involving data captured by both a standard CCD camera and a ToF camera to be used in the detection of the proximity between a manipulator robot and a human. Both cameras are assumed to be located above the work area of an industrial robot. The fusion of colour images and time of light information makes it possible to know the 3D localization of objects with respect to a world coordinate system. At the same time this allows to know their colour information. Considering that ToF information given by the range camera contains innacuracies including distance error, border error, and pixel saturation, some corrections over the ToF information are proposed and developed to improve the results. The proposed fusion method uses the calibration parameters of both cameras to reproject 3D ToF points, expressed in a common coordinate system for both cameras and a robot arm, in 2D colour images. In addition to this, using the 3D information, the motion detection in a robot industrial environment is achieved, and the fusion of information is applied to the foreground objects previously detected. This combination of information results in a matrix that links colour and 3D information, giving the possibility of characterising the object by its colour in addition to its 3D localization. Further development of these methods will make it possible to identify objects and their position in the real world, and to use this information to prevent possible collisions between the robot and such objects.

Visual sensor fusion for active security in robotic industrial environments

This work presents a method of information fusion involving data captured by both a standard charge-coupled device (CCD) camera and a time-of-flight (ToF) camera to be used in the detection of the proximity between a manipulator robot and a human. Both cameras are assumed to be located above the work area of an industrial robot. The fusion of colour images and time-of-flight information makes it possible to know the 3D localization of objects with respect to a world coordinate system. At the same time, this allows to know their colour information. Considering that ToF information given by the range camera contains innacuracies including distance error, border error, and pixel saturation, some corrections over the ToF information are proposed and developed to improve the results. The proposed fusion method uses the calibration parameters of both cameras to reproject 3D ToF points, expressed in a common coordinate system for both cameras and a robot arm, in 2D colour images. In addition to this, using the 3D information, the motion detection in a robot industrial environment is achieved, and the fusion of information is applied to the foreground objects previously detected. This combination of information results in a matrix that links colour and 3D information, giving the possibility of characterising the object by its colour in addition to its 3D localisation. Further development of these methods will make it possible to identify objects and their position in the real world and to use this information to prevent possible collisions between the robot and such objects.

Analysis of total visual and CCD V-broadband observations of Comet C/1995 O1 (Hale-Bopp): 1995-2001

We developed a general method for determination of water production rates from groundbased visual observations and applied it to Comet Hale-Bopp. Our main objective is to extend the method to include total visual magnitude observations obtained with CCD detector and V filter in the analysis of total visual magnitudes. We compare the CCD V-broadband careful observations of Liller [Liller, W. Pre-perihelion CCD photometry of Comet 1995 01 (Hale-Bopp). Planet. Space Sci. 45, 1505-1513, 1997; Liller, W. CCD photometry of Comet C/1995 O1 (Hale-Bopp): 1995-2000. Int. Comet Quart. 23(3), 93-97, 2001] with the total visual magnitude observations from experienced international observers found in the International Comet Quarterly (ICQ) archive. A data set of similar to 400 CCD observations covering about the same 6 years time span of the similar to 12,000 ICQ selected total visual magnitude observations were used in the analysis. A least-square method applied to the water production rates, yields power laws as a function of the heliocentric distances for the pre- and post-perihelion phases. The average dimension of the nucleus as well as its effective active area is determined and compared with values published in the literature. (C) 2009 COSPAR. Published by Elsevier Ltd. All rights reserved.

Visual feedback control of a robot in an unknown environment (learning control using neural networks)

In this paper, a visual feedback control approach based on neural networks is presented for a robot with a camera installed on its end-effector to trace an object in an unknown environment. First, the one-to-one mapping relations between the image feature domain of the object to the joint angle domain of the robot are derived. Second, a method is proposed to generate a desired trajectory of the robot by measuring the image feature parameters of the object. Third, a multilayer neural network is used for off-line learning of the mapping relations so as to produce on-line the reference inputs for the robot. Fourth, a learning controller based on a multilayer neural network is designed for realizing the visual feedback control of the robot. Last, the effectiveness of the present approach is verified by tracing a curved line using a 6-degrees-of-freedom robot with a CCD camera installed on its end-effector. The present approach does not necessitate the tedious calibration of the CCD camera and the complicated coordinate transformations.

Experiential learning in practice as research: context, method, knowledge

Creative arts research is often motivated by emotional, personal and subjective concerns; it operates not only on the basis of explicit and exact knowledge, but also on that of tacit and experiential knowledge. Experience operates within in the domain of the aesthetic and knowledge produced through aesthetic experience is always contextual and situated. The continuity of artistic experience with normal processes of living is derived from an impulse to handle materials and to think and feel through their handling. The key term for understanding the relationship between experience, practice and knowledge is 'aesthetic experience', not as it is understood through traditional eighteenth century accounts, but as 'sense activity'.

In this article, I will draw on the work of John Dewey, Michael Polanyi and others to argue that creative arts practice as research is an intensification of everyday experiences from which new knowledge or knowing emerges. The ideas presented here will be illustrated with reference to case studies based on reflections, by the artists themselves, on successful research projects in dance, creative writing and visual art.

Investigating the shared visual context in distributed collaborative work

Distributed collaborators require computermediated communication (CMC) technologies in order to work together. Various systems have been developed for this express purpose with varying degrees of success. A basic method of evaluating the usability of a system is to compare it with face-to-face interaction. To replicate the face-to-face context, it is necessary to investigate how visual information plays a role in supporting collaborators performing tasks.
This research examines the effects of visual information and its role in both face-to-face and video generated visual contexts. The results were generated by asking participants to collaboratively solve visual tasks in either of the two contexts. The results show that both the face-to-face and the video conferencing contexts have similar effects on subjects’ ability to perform tasks. Task outcomes exhibited no significant difference between these two contexts. Awareness and conversational grounding had positive effects on the subject’s task performance and communication. On the other hand, presence had mixed effects on a subject’s task performance and communication behaviors.

Experiential learning in practice as research : context, method, knowledge

Creative arts research is often motivated by emotional, personal and subjective concerns; it operates not only on the basis of explicit and exact knowledge, but also on that of tacit and experiential knowledge. Experience operates within in the domain of the aesthetic and knowledge produced through aesthetic experience is always contextual and situated. The continuity of artistic experience with normal processes of living is derived from an impulse to handle materials and to think and feel through their handling. The key term for understanding the relationship between experience, practice and knowledge is ‘aesthetic experience’, not as it is understood through traditional eighteenth century accounts, but as ‘sense activity’. In this article, I will draw on the work of John Dewey, Michael Polanyi and others to argue that creative arts practice as research is an intensification of everyday experiences from which new knowledge or knowing emerges. The ideas presented here will be illustrated with reference to case studies based on reflections, by the artists themselves, on successful research projects in dance, creative writing and visual art.

Visual guidance during competition performance and run-through training in long jumping

To ensure precise foot placement on the take-off board, long jumpers visually regulate their stride pattern during their run-up. A relationship between how much visual guidance they use and the horizontal distance they jump has not, however, been quantified. Run-up precision is often practiced using run-throughs, which exclude the take-off and, therefore, the high physical stress of the complete long jump. The validity with which this common training method simulates the long jump approach remains, however, to be verified. Four state-standard long jumpers and two heptathletes completed two sessions, each comprising six run-throughs and six competition long jumps. A 50 Hz video camera was manually panned from an elevated platform to film each trial, to enable subsequent gait characteristic evaluations. Linear regression analyses identified that a longer visual regulation phase, measured in time, distance or number of strides, was a key predictor of long jump distance. The number of strides that were visually regulated during the long jump approach was, accordingly, positively correlated with long jump distance (r = 0.67, p = 0.001). The amount of visual regulation used during run-throughs was, however, less than half (p = 0.001) of that observed during long jump approaches. Our results should compel long jump coaches to supplement run-through training with additional visual guidance exercises, to encourage their athletes to visually regulate more of their long jump approach.

The reliability of two visual motor integration tests used with health adults

Occupational therapists often assess the visual motor integration (VMI) skills of children, adults, and the elderly, which are parts of the Body Functions and Structures of the International Classification of Functioning, Disability and Health. Objective. As it is imperative that therapists use tests and measures with strong psychometric properties, this study aims to examine the reliability of two VMI tests used with adults. Method. Sixty-one healthy adults, 18 males and 43 females, with an average age of 31.82 years, completed the Developmental Test of Visual Motor Integration (DTVMI) and the Full Range Test of Visual Motor Integration (FRTVMI). The Cronbach's alpha coefficient was used to examine the tests’ internal consistency, while the Spearman's rho correlation was used to evaluate the test–retest reliability, intrarater reliability, and interrater reliability of the two VMI tests. Results. The Cronbach's alpha coefficient for the DTVMI and FRTVMI was 0.66 and 0.80, respectively. The test–retest reliability coefficient was 0.77 (p < .001) for the DTVMI and 0.61 (p < .001) for the FRTVMI. The interrater reliability correlation was significant for both DTVMI at 0.79 (p < .001) and FRTVMI at 0.80 (p < .001). The DTVMI intrarater reliability correlation result was 0.95 (p < .001) and the FRTVMI at 0.87 (p < .001). Conclusion. Overall, the DTVMI and the FRTVMI exhibited moderate to high levels of reliability when used with a sample of healthy adults. Both VMI tests appear to exhibit reasonable levels of reliability and are recommended for use with adults and the elderly.

Evaluation of thermal and visual comfort in offices considering realistic input data and user behaviour in building simulation

Thermal and visual comfort play a very important role regarding the satisfaction of occupants with their working environments. The most effective method to achieve thermal comfort in offices is to reduce cooling loads in order to avoid additional energy-consuming devices for cooling. Building simulation software can be a helpful tool for optimisation, and typically standard values for the influencing parameters are used in order to ensure compliance to norms and regulations.

In practice many of those parameters turn out to be different compared to the simulation assumptions and the reasons may be the chosen room or building related properties as well as the user behaviour influenced by the task and the corporate culture of the company.

This paper investigates exemplary for the climate of Hamburg, Germany and a naturally ventilated typical office room, the optimisation potential of the building- and user-related parameters for thermal comfort, daylighting and view when using realistic input data for building simulation. The study has been conducted with the EnergyPlus based simulation software “Primero-Komfort” [1].

What's in a measure? A multi-method study of child sexual offenders' beliefs

The hypothesis that child sexual offenders (CSOs) hold distorted, offence-supportive beliefs is usually investigated using interview and questionnaire techniques. However, in light of various problems associated with the use of these techniques, researchers are increasingly turning to cognitive-experimental approaches. To date, no study has examined potential differences in the nature of the beliefs that are revealed using interview, questionnaire, and experimental methods. In this study, data is gathered using these three methods and the results triangulated. CSOs are interviewed and the content categorised into five belief types. CSOs and offender controls then complete a questionnaire measure of offence-supportive beliefs and an experimental task (Rapid Serial Visual Presentation-Modified, or RSVP-M), which uses sentence reading times to explore content held in cognitive structures. As hypothesised, CSOs showed evidence of holding distorted beliefs according to the interview and questionnaire measures. Against predictions, however, CSOs did not show evidence of holding distorted belief structures on the RSVP-M task. In fact, the three methods showed no agreement regarding the belief types each CSO was deemed to hold. These results raise important questions about the phenomena and potential artefacts measured by each method.

Convergent validity of two visual motor integration tests

Background: Occupational therapists often assess visual motor integration (VMI) skills. It is, therefore, imperative that therapists use VMI tests with robust measurement properties.

Objective: This study examined the convergent validity of two VMI tests used to assess children, adolescents and adults.

Method: Three groups of healthy participants (n = 153) completed the Beery-Buktenica Developmental Test of Visual-Motor Integration (DTVMI) and the Full Range Test of Visual Motor Integration (FRTVMI). Seventy-three children aged 5-10 years (37 males and 36 females; mean age 7.5 years, SD = 2.20), 19 adolescents aged 11-17 years (8 males and 11 females; 13.1 years, SD = 2.16), and 61 adults (18 males and 43 females; mean age 31.82 years, SD = 11.20) completed the DTVMI and the FRTVMI. Spearman rho correlation coefficients were used to investigate whether each pair of the VMI test scores for each of the three participant age groups were associated.

Results: The Spearman rho correlation coefficients between all three versions of the DTVMI and FRTVMI were statistically significant. For the child group, the correlation coefficient was rho = 0.70 (p<0.000), while the correlation between the VMI scores obtained by the adolescent group on the two tests was rho = 0.77 (p<0.000). For the adult participant group, the correlation coefficient between the DTVMI and the FRTVMI was rho = 0.70 (p<0.000).

Conclusion: The VMI scores obtained by the three participant age groups on the DTVMI and the FRTVMI were all significantly correlated with each other. Overall, the DTVMI and the FRTVMI exhibited large levels of convergent validity with each other, indicating that the two tests appear to measure similar visual-motor integration constructs.

User-centered design and evaluation of an interactive visual-haptic-auditory interface : a user study on assembly

Utilizing user-centred system design and evaluation method has become an increasingly important tool to foster better usability in the field of virtual environments (VEs). In recent years, although it is still the norm that designers and developers are concerning the technological advancement and striving for designing impressive multimodal multisensory interfaces, more and more awareness are aroused among the development team that in order to produce usable and useful interfaces, it is essential to have users in mind during design and validate a new design from users' perspective. In this paper, we describe a user study carried out to validate a newly developed haptically enabled virtual training system. By taking consideration of the complexity of individual differences on human performance, adoption and acceptance of haptic and audio-visual I/O devices, we address how well users learn, perform, adapt to and perceive object assembly training. We also explore user experience and interaction with the system, and discuss how multisensory feedback affects user performance, perception and acceptance. At last, we discuss how to better design VEs that enhance users perception, their interaction and motor activity.

Classifying and detecting group behaviour from visual surveillance data

We outline an approach to classifying and detecting behaviours from surveillance data. Simple pairwise movement patterns are learned and used as building blocks to describe behaviour over a temporal sequence, or compared with other pairs to detect group behaviour. As the pair primitives are easy to redefine and learn, and complex behaviour over time is specified by the user as a sequence of pair primitives, this approach provides a flexible yet robust method of detecting complex movement in a wide variety of domains.