Attachment insecurity as a filter in the decoding and encoding of nonverbal behavior in close relationships

In this article, I have focused my comments on the possible associations between the cognitions related to different attachment styles, and the impact that those cognitions are likely to have on nonverbal encoding and decoding. I see attachment insecurity as acting as a filter, distorting both encoding and decoding processes. In terms of decoding, an insecure individual may appraise the situation as more threatening than it actually is, may see the attachment figure as more or less available than he or she actually is, and may make an inappropriate decision about the viability or desirability of seeking proximity to the attachment figure. Attachment insecurity is also likely to inhibit the distressed individual from expressing their distress in a way that is understood by the attachment figure and that increases the likelihood that the attachment figure will engage in supportive behavior.

Nonverbal narratives: Listening to people with severe intellectual disability

This article describes an exploratory study that examined the perspectives of practitioners who spend much of their working day listening to and in some ways interpreting for people with severe intellectual disabilities. On the basis of focus group interviews with 23 professional disability-sector workers, including speech therapists, psychologists, and human service workers, the article reports on the importance of a practitioner's values and experience in successful interactions with individuals who rely on self-developed nonsymbolic communication repertoires. The article includes a discussion of the likelihood of including individuals with severe intellectual disabilities in narrative research.

Maximum-likelihood noncoherent lattice decoding of QAM

We present a novel, maximum-likelihood (ML), lattice-decoding algorithm for noncoherent block detection of QAM signals. The computational complexity is polynomial in the block length; making it feasible for implementation compared with the exhaustive search ML detector. The algorithm works by enumerating the nearest neighbor regions for a plane defined by the received vector; in a conceptually similar manner to sphere decoding. Simulations show that the new algorithm significantly outperforms existing approaches

Strategies of accommodation: Development of a coding system for conversational interaction

This study describes a coding system developed to operationalize the sociolinguistic strategies proposed by communication accommodation theory (CAT) in an academic context. Fifty interactions between two students (of Australian or Chinese ethnic background) or a student and faculty member were videotaped. A turn- and episode-based coding system was developed, focusing on verbal and nonverbal behavior. The development of this system is described in detail, before results are presented. Results indicated that status was the main influence on choice of strategies, particularly the extent and type of discourse management and interpersonal control. Participants' sew and ethnicity also played a role: Male participants made more use of interpretability (largely questions), whereas female participants used discourse management to develop a shared perspective. The results make clear that there is no automatic correspondence between behaviors and the strategies they constitute, and they point to the appropriateness of conceptualizing behavior and strategies separately in CAT.

Spelling in adults: The role of reading skills and experience

One hundred university students completed tests of spelling production, vocabulary, reading comprehension, reading experience, and reading accuracy (ability to distinguish a previously read word from a similar distractor). Reading experience, as measured by an adaptation of the Author Recognition Test, and reading accuracy contributed to the prediction of spelling beyond the joint contribution of reading comprehension and vocabulary. The results are more consistent with a uni-process model of spelling based on the quality of word-specific orthographic learning, rather than with a dual-process account relying on both word-specific knowledge and rules.