Making sense of nonsense in British Sign Language (BSL): The contribution of different phonological parameters to sign recognition

Do all components of a sign contribute equally to its recognition? In the present study, misperceptions in the sign-spotting task (based on the word-spotting task; Cutler &; Norris, 1988) were analyzed to address this question. Three groups of deaf signers of British Sign Language (BSL) with different ages of acquisition (AoA) saw BSL signs combined with nonsense signs, along with combinations of two nonsense signs. They were asked to spot real signs and report what they had spotted. We will present an analysis of false alarms to the nonsense-sign combinations&;#x2014;that is, misperceptions of nonsense signs as real signs (cf. van Ooijen, 1996). Participants modified the movement and handshape parameters more than the location parameter. Within this pattern, however, there were differences as a function of AoA. These results show that the theoretical distinctions between formbased parameters in sign-language models have consequences for online processing. Vowels and consonants have different roles in speech recognition; similarly, it appears that movement, handshape, and location parameters contribute differentially to sign recognition.     

A comparative quantitative analysis of Greek orthographic transparency

Orthographic transparency refers to the systematicity in the mapping between orthographic letter sequences and phonological phoneme sequences in both directions, for reading and spelling. Measures of transparency previously used in the analysis of orthographies of other languages include regularity, consistency, and entropy. However, previous reports have typically been hampered by severe restrictions, such as using only monosyllables or only word-initial phonemes. Greek is sufficiently transparent to allow complete sequential alignment between graphemes and phonemes, therefore permitting full analyses at both letter and grapheme levels, using every word in its entirety. Here, we report multiple alternative measures of transparency, using both type and token counts, and compare these with estimates for other languages. We discuss the problems stemming from restricted analysis sets and the implications for psycholinguistic experimentation and computational modeling of reading and spelling.     

Processing pronunciation variants: the role of probabilistic knowledge about lexical form and segmental co-occurrence

Two experiments investigated the contribution of lexical knowledge to processing nasal flap variants (e.g. “mental” produced as “mennle”). High and low variant production frequency nasal flap words and nonword counterparts were presented in a “t” detection task. More “t” detections were found in high than low variant frequency nasal flap words; no difference was found in control nasal flap nonwords but control nonwords with a nasal had more “t” detections than nonwords without a nasal. The findings suggest that access to lexical knowledge of an alternative NT pronunciation is modulated by variant frequency of the reduced form and pre-lexical phonotactic knowledge.     

Preliminary report: psychological assessment of Greek women with diabetes during pregnancy

23 Greek pregnant women with type 1 diabetes had a higher mean score on the Maudsley Obsessive-Compulsive Inventory in the second and third trimesters of pregnancy than 13 women with gestational diabetes. Long-term changes in the lifestyle of the former may apparently lead to this higher mean. For those with gestational diabetes, higher scores of alexithymia were correlated with slightly worse glycemic control.     

Comorbidity and WISC-III profiles of Greek children with attention deficit hyperactivity disorder, learning disabilities, and language disorders

The aim of the present study was to (a) examine the prevalence of ADHD and the comorbid difficulties in a sample of 114 children, 3.6 to 17.6 yr. of age (89 boys, 25 girls) referred to our Unit and (b) evaluate the discriminative ability of the WISC-III scores for children with Attention Deficit Hyperactivity Disorder (n = 22), Learning Disability (n = 50), and Language Disorder (n = 42). Analysis showed only 18% of 114 children had an Attention Deficit Hyperactivity Disorder diagnosis. Multivariate analysis of variance and stepwise discriminant function analysis were applied. Vocabulary and similarities were the best predictors for distinguishing between language disorders and the other two groups. Moreover, the Language Disorder group scored significantly lower on all the subtests while the Attention Deficit Hyperactivity Disorder and Learning Disability groups scored lower on coding and information, respectively. Children with Attention Deficit Hyperactivity Disorder and Learning Disability could not be accurately identified from the WISC-III test or their ACID profile.     

Word reading practice reduces Stroop interference in children

Stroop interference is thought to index reading automaticity and is expected to increase with reading practice and to decrease with improved color naming. We investigated the effects of practice in word reading and color naming on interference in 92 adults and 109 children in Grades 4–5. For children, interference was reduced after reading practice with color words. In neither group was interference affected by practice in color naming of neutral stimuli. These findings are consistent with a direct negative relationship between reading ability and interference and challenge the automaticity account in favor of a blocking mechanism whereby interference is determined by the delay to inhibit the reading response rather than by the efficiency of color naming.     

Mobile-Centric Ambient Intelligence in Health- and Homecare—Anticipating Ethical and Legal Challenges

Ambient Intelligence provides the potential for vast and varied applications, bringing with it both promise and peril. The development of Ambient Intelligence applications poses a number of ethical and legal concerns. Mobile devices are increasingly evolving into tools to orientate in and interact with the environment, thus introducing a user-centric approach to Ambient Intelligence. The MINAmI (Micro-Nano integrated platform for transverse Ambient Intelligence applications) FP6 research project aims at creating core technologies for mobile device based Ambient Intelligence services. In this paper we assess five scenarios that demonstrate forthcoming MINAmI-based applications focusing on healthcare, assistive technology, homecare, and everyday life in general. A legal and ethical analysis of the scenarios is conducted, which reveals various conflicting interests. The paper concludes with some thoughts on drafting ethical guidelines for Ambient Intelligence applications.     

Understanding Youth Smoking Behavior Through Modeling the Smoking Decision Process: Lessons Learned From a Developing Country1

The prevalence of youth smoking is well reported in the literature. However, most research so far has been conducted in developed countries, leaving the incidence of youth smoking in developing and less developed countries unexplored and to the mercy of the tobacco industry. The present study forms a prototype called the smoking decision process model on youth smoking behavior, which draws from existing literature. Through this model, researchers, health practitioners, and anti‐smoking activist groups in various parts of the developing world can acquire a more holistic view of the factors behind youth smoking behavior in their respective societies and, in turn, focus on the most appropriate means to combat smoking. A case study application of the model is presented in this study, involving Cypriot youth 12 to 18 years of age.