The Use of Humor in Therapy : Research-Based Training Recommendations

Despite its essential and universal nature, humor has historically received limited attention from the behavioral sciences, particularly as compared to other affective experiences like anger and sadness. Some authors (e.g., Bell & Malhi, 2009; Provine, 2000a; Roeckelein, 2002) suggest that this is because researchers have traditionally failed to "take humor seriously" and, according to O'Connell (cited in Roeckelein, 2002), have too often pursued its study in a piecemeal manner lacking scientific rigor, resulting in "no comprehensive network of facts about the development and purposes of humor in human existence" (p. 1). Roeckelein (2002) found not a single mention of humor, laughter, wit, comedy, or theories relating to these topics in introductory psychology textbooks published between 1930 and 1996.While research interest in the area has grown, especially over the last decade, it remains an elusive and nebulous topic, more likely to be examined in specialty psychology texts (e.g., social psychology and child development) than general ones (Martin, 2007; Roeckelein, 2002). Organizations (e.g., The International Society for Humor Studies; The Association for the Advancement of Therapeutic Humor), journals (e.g., Humor: International Journal of Humor Research) and internet phenomena such as "The Humor Project" (www.humorproiect.com) have made great strides in integrating information about humor from discreet fields such as the arts and humanities, biological and social sciences, education, and business management. Still, the therapeutic potential of humor remains a relatively young subject of serious scientific inquiry (Marci, Moran, & Orr, 2004; Sala, Krupat, & Roter, 2002). While humor does make appearances in self-help books and publications addressing clinical applications, these sources are much ...

Fail-Safe Testing of Web Applications

This dissertation introduces an approach to generate tests to test fail-safe behavior for web applications. We apply the approach to a commercial web application. We build models for both behavioral and mitigation requirements. We create mitigation tests from an existing functional black box test suite by determining failure type and points of failure in the test suite and weaving required mitigation based on weaving rules to generate a test suite that tests proper mitigation of failures. A genetic algorithm (GA) is used to determine points of failure and type of failure that needs to be tested. Mitigation test paths are woven into the behavioral test at the point of failure based on failure specific weaving rules. A simulator was developed to evaluate choice of parameters for the genetic algorithm. We showed how to tune the fitness function and performed tuning experiments for GA to determine what values to use for exploration weight and prospecting weight. We found that higher defect densities make prospecting and mining more successful, while lower mitigation defect densities need more exploration. We compare efficiency and effectiveness of the approach. First, the GA approach is compared to random selection. The results show that the GA performance was better than random selection and that the approach was robust when the search space increased. Second, we compare the GA against four coverage criteria. The results of comparison show that test requirements generated by a genetic algorithm (GA) are more efficient than three of the four coverage criteria for large search spaces. They are equally effective. For small search spaces, the genetic algorithm is less effective than three of the four coverage criteria. The fourth coverage criteria is too weak and unable to find all defects in almost all cases. We also present a large case study of a mortgage system at one of our industrial partners and show how we formalize the approach. We evaluate the use of a GA to create test requirements. The evaluation includes choice of initial population, multiplicity of runs and a discussion of the cost of evaluating fitness. Finally, we build a selective regression testing approach based on types of changes (add, delete, or modify) that could occur in the behavioral model, the fault model, the mitigation models, the weaving rules, and the state-event matrix. We provide a systematic method by showing the formalization steps for each type of change to the various models.

Perceptions of Usability and Usefulness in Digital Libraries

This paper provides an overview of a case study research that investigated the use of Digital Library (DL) resources in two undergraduate classes and explored faculty and students’ perceptions of educational digital libraries. This study found that students and faculty use academic DLs primarily for textual resources, but turn to the open Web for visual and multimedia resources. The study participants did not perceive academic libraries as a useful source of digital images and used search engines when searching for visual resources. The limited use of digital library resources for teaching and learning is associated with perceptions of usefulness and ease of use, especially if considered in a broader information landscape, in conjunction with other library information systems, and in the context of Web resources. The limited use of digital libraries is related to the following perceptions: 1) Library systems are not viewed as user-friendly, which in turn discourages potential users from trying DLs provided by academic libraries; 2) Academic libraries are perceived as places of primarily textual resources; perceptions of usefulness, especially in regard to relevance of content, coverage, and currency, seem to have a negative effect on user intention to use DLs, especially when searching for visual materials.