Game reviews play an important role in both the culture and business of games the words of a reviewer can have an influential effect on the commercial success of a video game. While reviews are currently used by game developers to aid in important decisions such as project financing and employee bonuses, the effect of game reviews on players is not known. Additionally, the use of game reviews to improve evaluation techniques has received little attention. In this thesis we investigate the effect of game reviews on player experience and perceptions of quality. We show that negative reviews cause a significant effect on how players perceive their in-game experience, and that this effect is a post-play cognitive rationalization of the play experience with the previously-read review text. To address this effect we designed and deployed a new heuristic evaluation technique that specifically uses game reviews to create a fine-grained prioritized list of usability problems based on the frequency, impact, and persistence of each problem. By using our technique we are able to address the most common usability problems identified by game reviews, thus reducing the overall level of negativity found within the review text. Our approach helps to control and eliminate the snowballing effect that can be produced by players reading reviews and subsequently posting their own reviews, and thus improve the commercial success of a game.

Game reviews play an important role in both the culture and business of games the words of a reviewer can have an influential effect on the commercial success of a video game. While reviews are currently used by game developers to aid in important decisions such as project financing and employee bonuses, the effect of game reviews on players is not known. Additionally, the use of game reviews to improve evaluation techniques has received little attention. In this thesis we investigate the effect of game reviews on player experience and perceptions of quality. We show that negative reviews cause a significant effect on how players perceive their in-game experience, and that this effect is a post-play cognitive rationalization of the play experience with the previously-read review text. To address this effect we designed and deployed a new heuristic evaluation technique that specifically uses game reviews to create a fine-grained prioritized list of usability problems based on the frequency, impact, and persistence of each problem. By using our technique we are able to address the most common usability problems identified by game reviews, thus reducing the overall level of negativity found within the review text. Our approach helps to control and eliminate the snowballing effect that can be produced by players reading reviews and subsequently posting their own reviews, and thus improve the commercial success of a game.

Thesis (M.S.)--Ohio State University, 2009. / Title from first page of PDF file. Includes vita. Includes bibliographical references (p. 68-76).

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Osteoporosis is a growing cause of morbidity and mortality in aging populations worldwide, especially in postmenopausal women. Bisphosphonates are widely prescribed for fracture prevention in osteoporosis. Meta-analyses have been performed for alendronate, risedronate, and etidronate, examining their effectiveness versus placebo in fracture prevention. Total withdrawals and adverse event withdrawals were examined as safety outcomes. Systematic reviews were performed for two other bisphosphonates, ibandronate and zoledronic acid and the results combined with previously obtained data for the other bisphosphonates. Indirect treatment comparisons of the drugs against each other and versus placebo were performed using Bayesian and frequentist methods. Both types of analyses yielded almost identical results: zoledronic acid and alendronate were the most effective bisphosphonates for preventing vertebral fractures. No differences were found regarding withdrawals. Subgroup analyses found that fracture prevention was generally more effective with longer therapy (greater than or longer than 3 years).

Indiana University-Purdue University Indianapolis (IUPUI) / The aim of the study is to assess the impact of robot service on hotel guest experiences. Application of technology in tourism and hospitality services is growing each day. Using robots in hospitality establishment is becoming more and more popular, mainly because it can help cut down the labor costs, increase efficiency and reduce human contacts. Very few studies, however, have been done on examining customer experience regarding robots used in the hotel. Social media sites such as TripAdvisor are popular platforms where people share their first-hand experiences. Hence, this study focuses on studying the reviews of robotic hotels. Using the software Leximancer, reviews were studied and categorized in different themes to understand if the presence of the robot would create positive or negative experience for customers. The sample of the study included total of 2383 reviews related to robotic hotels from TripAdvisor from January 2011 to October 2020. The findings highlighted the major themes as Room, Robot, Hotel and Staff and their relationship with the ratings. It also provided insights into the contribution of robot service to consumer’s hotel experiences. / 2021-12-01

During the last decade online retail sales have been growing constantly. This growth has been possible due to different factors like online reviews. Online reviews have been proven successful in predicting different variables like trust and sales in online settings; however, the impact of online reviews on other variables like customer satisfaction has not been widely studied. Based on expectation-disconfirmation theory, this study analyzes the effect of online reviews on customer satisfaction. A set of six hypotheses were proposed and tested by using a controlled experiment. A total of 278 usable responses were obtained from a sample of college students from a major Midwest US university. Five of the six hypotheses were supported. Results indicated that expectations and perceived performance are significant predictors of disconfirmation. They also indicate that disconfirmation is a significant predictor of satisfaction. Regarding the effect of online reviews on satisfaction, results showed an indirect effect of online reviews on satisfaction mediated by expectations and disconfirmation. Results have implications for research and practice. For research, results help to increase the understanding of customer expectations formation in online settings. For practice, results give advice to sellers about how to increase customer satisfaction.

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My dissertation explores the relationship between journals and the political. Using the modern examples of The Public Interest and Telos, I analyze how critical journals write politics. As a scholar, I am interested in writing practices and how they shape epistemologies, ontologies, and Weltanschauungen; in essence, how they act as narratives of power. The practice I have undertaken to study in this dissertation is the practice of reviewing. The etymology of the word "review" is "to see again." Tracing the review form to its institutionalization in the early 19th century in Great Britain and bringing it forward to the late 20th century in the United States, I analyze how critical journals "see again," whether they challenge how the state "sees," or whether they conform to the state's view. I argue that by writing about politics and re-viewing the state's writing of politics, critical journals also contribute to the wrighting (or making) of political realities. / Ph. D.

Class of 2015 Abstract / Objectives: To determine whether comprehensive medication reviews (CMRs) or non-CMR interventions following targeted medication reviews (TMRs) resulted in more positive medication changes. A CMR is a structured medication management session that includes a full review of an individual’s medical and medication records. Non-CMR interventions are more targeted problem-based interventions that include shorter medication management sessions, written patient outreach, and direct to provider interventions. Methods: This cross-sectional quality improvement project compared the number of individuals with positive medication changes who received a CMR to those with positive medication changes who did not receive a CMR (non-CMR). Individuals were included in this project if they qualified for the Medication Management Center’s (MMC) pharmacist-driven medication therapy management (MTM) program and received their medication review(s) in 2012 or 2013. The addition of an appropriate medication or the removal of an inappropriate medication was considered a positive medication change within 120 days of intervention. Odds ratios were calculated using Wilcoxon Rank Sum. Results: A total of 418,649 participants in 2012 and 370,107 in 2013 had their medications reviewed as part of the MTM program. The non-CMR group accounted for the majority of the interventions (375,159 for non-CMR versus 43,490 for CMR in 2012 and 332,006 versus 38,101 for 2013). Significantly more positive medication changes were achieved in the non-CMR group (n=88,467 for 2012 and n=54,971 for 2013) following the medication review compared to the CMR group (n=9,796 for 2012 and n=7,034 for 2013). CMR recipients were more likely to receive a recommendation (odds ratio 0.70, 95% confidence interval 0.69-0.72 for 2012 and odds ratio 0.62, 95% confidence interval 0.60-0.63 for 2013). Non-CMR recipients were more likely to have a recommendation result in a medication change (odds ratio 1.24, 95% confidence interval 1.21-1.28 for 2012 and 1.26, 95% confidence interval 1.22-1.30 for 2013). Conclusions: While the percentage of participants who received a recommendation in the non-CMR group was lower, a greater percentage of these participants received a medication change. This indicates that non-CMR interventions following TMRs may be more effective in producing a positive medication change compared to CMRs.