In the last decade, we have witnessed a drastic change in the form factor of audio and vision technologies, from heavy and grounded machines to lightweight devices that naturally fit our bodies. However, only recently, haptic systems have started to be designed with wearability in mind. The wearability of haptic systems enables novel forms of communication, cooperation, and integration between humans and machines. Wearable haptic interfaces are capable of communicating with the human wearers during their interaction with the environment they share, in a natural and yet private way. This paper presents a taxonomy and review of wearable haptic systems for the fingertip and the hand, focusing on those systems directly addressing wearability challenges. The paper also discusses the main technological and design challenges for the development of wearable haptic interfaces, and it reports on the future perspectives of the field. Finally, the paper includes two tables summarizing the characteristics and features of the most representative wearable haptic systems for the fingertip and the hand.

The purpose of this study was twofold: (a) to evaluate the scaling assumptions and component structure of and present normative data for the Rosenberg Self-Esteem Scale (RSES) using a sample of US adults (N = 503), both overall and across demographic subgroups and (b) to provide new data regarding the relationship between the two RSES subcomponents of self-competence (SC) and self-liking (SL), and other demographic and clinical variables. As hypothesized, all psychometric tests supported the underlying structure of the RSES. Overall RSES scores varied significantly across age, racial and ethnic, education, employment status, income, and marital status groups. Furthermore, differences between SC and SL were also found across groups differing in gender, age, employment status, and marital status groups. The implications and limitations of this study are discussed, with an emphasis on clinical relevance.

Health care professionals are coming under increased pressure to empirically monitor patient outcomes across settings as a means of improving clinical practice. Within the psychiatric and primary care communities, many have begun utilizing brief psychometric measures of psychological functioning to accomplish these goals. The purpose of this study was to evaluate the psychometric properties and clinical utility of the Depression, Anxiety, and Stress Scales-21-item version (DASS-21), and contribute normative data to facilitate interpretation using a sample of U.S. adults (N = 503). Item-scale convergence was generally supported, although assumptions of item-scale divergence were not met. Only 86%, 50%, and 43% of Depression, Anxiety, and Stress items, respectively, correlated significantly greater with their hypothesized scales than other scales. Internal consistency reliability was acceptable for all scales and comparable to existing research (αs = .91, .80, and .84 for Depression, Anxiety, and Stress, respectively). Scale-level correlations were greater than what has been reported elsewhere (range of rs = .68 to .73), and principal components analysis supported the extraction of only one component accounting for 47% of the item-level variance. However, confirmatory factor analysis (CFA) favored a three-factor structure when compared to a one-factor model. The implications for the health care professions are discussed.