Evaluating the Effectiveness of a Goal-Directed Intervention on the Social Interaction of Children with Neurodevelopmental Disabilities

This study sought to address social interaction needs of children with neurodevelopmental disabilities through an eight week intervention focusing on social skills at Spaulding Youth Center (SYC), a residential facility in Northeast United States. The study implemented a randomized control design, with a control and intervention group, totaling n=19 students. Results have implications for future practice

Evaluating Software Architectures: Development Stability and Evolution

We survey seminal work on software architecture evaluationmethods. We then look at an emerging class of methodsthat explicates evaluating software architectures forstability and evolution. We define architectural stabilityand formulate the problem of evaluating software architecturesfor stability and evolution. We draw the attention onthe use of Architectures Description Languages (ADLs) forsupporting the evaluation of software architectures in generaland for architectural stability in specific

Student reaction to parallel hypertext and menu‐based interfaces

It is often necessary to consider the question of what sort of interface is most useful for retrieving information from a particular land of database. A small database of text‐based but multi‐faceted items is used here in order to compare ease and speed of retrieval from two commonly used combinations of interface — HyperCard on an Apple Macintosh and dBase III+ on a PC. For the restricted range of tasks employed here, the latter combination appears to be more acceptable to students with limited computer experience. However, in more general terms, the acceptability of an interface for information retrieval depends on what particular aspect of information retrieval is being emphasized, and what conceptual frameworks students bring to their tasks

Comparing the cognitive profile of the HCI professional and the HCI educator

Previous research into Human-Computer Interaction (HCI) education has focussed mainly on the curriculum, pedagogy and the gap between education, and little is known about the cognitive profile of the HCI practitioner or educator, or how their individual differences impact upon practice in the field or the classroom. This research intends to address this gap by investigating the cognitive style of HCI practitioners, educators, and those with both roles. 315 professionals responded to a global online survey which captured their individual cognitive style using the Allinson and Hayes Cognitive Style Index (CSI) which tests whether the subject tends more towards an intuitivist or analyst, and the Object-Spatial Imagery and Verbal Questionnaire (OSIVQ) which suggests a three dimensional model of cognitive style – object imagers who prefer to construct pictorial images, spatial imagers who prefer schematic representations and verbalizers who prefer to use verbal-analytical tools. Together, these two instruments provide a profile that matches the skills required to work within the field of HCI. The respondents included practitioners in the field (N=179), educators (N=61), and some who were both practitioner and educator (N=75). A one-way between-groups ANOVA and MANOVA was performed to investigate differences in the role of the professional, and the CSI and OSIVQ profiles respectively, followed by the Welch t-test to compare their OSIVQ scores with the published normative values. The ANOVA comparing the CSI scores for each of the groups revealed a statistically significant difference of F(2, 312) = 3.35, p= 0.38 and post-hoc comparisons using the Tukey HSD test indicated that the mean score for the educators was significantly different from that of the ‘both’ group. The practitioners did not differ significantly from either the educators or ‘both’. This may in some part be explained by the fact that very often HCI is taught by an academic with a computer science background rather than an HCI specialist, but further investigation is needed in this area. The MANOVA used the three constructs of the OSIVQ as dependent variables. No significant difference was found between the groups. However, the t-tests comparing the professional against the normative data revealed that whilst there was no significant difference between the object imager score of the HCI professional and the scientist, there was a difference between the spatial imager score of the HCI professional and the visual artist, perhaps again reflecting the computer science background of many professionals. 24 survey respondents have been interviewed and the resulting data will form the basis of a thematic analysis to extend the cognitive profile, and to identify the predominant technological frames of operation. Applying this concept of technological frames to the domain of HCI, will help to make sense of the adoption and application of knowledge, tools and techniques amongst this community. In order for the curriculum to meet the needs of the market, the educator needs to understand the practitioner in order to produce graduates equipped for the role. Finally, as HCI is delivered in a multidisciplinary environment, should it not also be taught by a multidisciplinary team

An EEG study on emotional intelligence and advertising message effectiveness

Some electroencephalography (EEG) studies have investigated emotional intelligence (EI), but none have examined the relationships between EI and commercial advertising messages and related consumer behaviors. This study combines brain (EEG) techniques with an EI psychometric to explore the brain responses associated with a range of advertisements. A group of 45 participants (23females, 22males) had their EEG recorded while watching a series of advertisements selected from various marketing categories such as community interests, celebrities, food/drink, and social issues. Participants were also categorized as high or low in emotional intelligence (n = 34). The EEG data analysis was centered on rating decision-making in order to measure brain responses associated with advertising information processing for both groups. The findings suggest that participants with high and low emotional intelligence (EI) were attentive to different types of advertising messages. The two EI groups demonstrated preferences for “people” or “object,” related advertising information. This suggests that differences in consumer perception and emotions may suggest why certain advertising material or marketing strategies are effective or not

An End-to-End Conversational Style Matching Agent

We present an end-to-end voice-based conversational agent that is able to engage in naturalistic multi-turn dialogue and align with the interlocutor's conversational style. The system uses a series of deep neural network components for speech recognition, dialogue generation, prosodic analysis and speech synthesis to generate language and prosodic expression with qualities that match those of the user. We conducted a user study (N=30) in which participants talked with the agent for 15 to 20 minutes, resulting in over 8 hours of natural interaction data. Users with high consideration conversational styles reported the agent to be more trustworthy when it matched their conversational style. Whereas, users with high involvement conversational styles were indifferent. Finally, we provide design guidelines for multi-turn dialogue interactions using conversational style adaptation

Synthesis of variable dancing styles based on a compact spatiotemporal representation of dance

Dance as a complex expressive form of motion is able to convey emotion, meaning and social idiosyncrasies that opens channels for non-verbal communication, and promotes rich cross-modal interactions with music and the environment. As such, realistic dancing characters may incorporate crossmodal information and variability of the dance forms through compact representations that may describe the movement structure in terms of its spatial and temporal organization. In this paper, we propose a novel method for synthesizing beatsynchronous dancing motions based on a compact topological model of dance styles, previously captured with a motion capture system. The model was based on the Topological Gesture Analysis (TGA) which conveys a discrete three-dimensional point-cloud representation of the dance, by describing the spatiotemporal variability of its gestural trajectories into uniform spherical distributions, according to classes of the musical meter. The methodology for synthesizing the modeled dance traces back the topological representations, constrained with definable metrical and spatial parameters, into complete dance instances whose variability is controlled by stochastic processes that considers both TGA distributions and the kinematic constraints of the body morphology. In order to assess the relevance and flexibility of each parameter into feasibly reproducing the style of the captured dance, we correlated both captured and synthesized trajectories of samba dancing sequences in relation to the level of compression of the used model, and report on a subjective evaluation over a set of six tests. The achieved results validated our approach, suggesting that a periodic dancing style, and its musical synchrony, can be feasibly reproduced from a suitably parametrized discrete spatiotemporal representation of the gestural motion trajectories, with a notable degree of compression