Job Seekers\u27 Acceptance of Job Recommender Systems: Results of an Empirical Study

Based on UTAUT2 and the importance of trust to explain user behavior in relation to recommender systems, we focus on job recommender systems by developing and validating a job recommender system acceptance model. The results of our empirical, survey-based study with 440 job seekers indicate that beside performance expectancy and habit, trust is among the three most important determinants and it is especially relevant for women, passive job seekers and those without experience in using job recommender systems. The paper extends general trust and recommender system research by revealing three moderators for the trust and intention relationship. It contextualizes the UTAUT2 by incorporating trust as an antecedent of a consumer’s intention to use and by revealing three moderating effects for this relationship. Hence, it is the basis for further studies investigating the acceptance of job recommender system, which has rather been neglected by prior research

The Effect of Recommender Systems on Users’ Situation Awareness and Actions

Many organizations are implementing recommender systems with the expectation to influence users’ actions. However, research has shown that poorly designed recommender systems may be counterproductive. For instance, if a recommender system provides too many recommendations, users cannot focus on relevant recommendations anymore. To tackle this challenge, recommender systems need to be balanced and adjusted to the processes in which they shall support users. Only designed correctly, recommender systems may influence users’ situation awareness and, ultimately, enable them to perform informed actions. Research has shown that users’ situation awareness depends on users’ elaboration. Therefore, we draw on the Elaboration Likelihood Model to conceptualize recommendation velocity and recommendation faithfulness as two variables that influence users’ situation awareness. Furthermore, since research identified process automation as a major antecedent of situation awareness, we conceptualize process automation as a third influencing variable. Finally, we develop a conceptual research model and outline our next steps

IFIP TC 13 Seminar: trends in HCI proceedings, March 26, 2007, Salamanca (Spain)

Actas del 13o. Seminario de la International Federation for Information Processing (IFIP), celebrado en Salamanca el 26 de marzo de 2007, sobre las nuevas líneas de investigación en la interacción hombre-máquina, gestión del conocimiento y enseñanza por la Web

Analysis of the ergonomics of e-commerce websites

The following paper includes research about ergonomics of e-commerce web applications. Main purpose of experiment was to compare existing application of Morele.net shop and developed prototype of application using eyetracking examination and survey. The study carried out on a group of 40 students provided heat maps, scan paths, number of fixations and saccades, times to the first fixation in area of interest, task completion times, assessments of both applications in the form of WUP indicators. Based on the qualitative and quantitative analysis, conclusions were drawn confirming the hypothesis put forward in the work that there is an impact of ergonomic placement of navigation elements on the accessibility and usability of the application, as well as the time of performing tasks in it

Annual Report 2020-2021

LETTER FROM THE DEAN As I write this letter during the beginning of the 2021–22 academic year, we have started to welcome the majority of our students to campus— many for the very first time, and some for the first time in a year and a half. It has been wonderful to be together, in-person, again. Four quarters of learning and working remotely was challenging, to be sure, but I have been consistently amazed by the resilience, innovation, and hard work of our students, faculty, and staff, even in the most difficult of circumstances. This annual report, covering the 2020–21 academic year—one that was entirely virtual—highlights many of those examples: from a second place national ranking by our Security Daemons team to hosting a blockbuster virtual screenwriting conference with top talent; from gaming grants helping us reach historically excluded youth to alumni successes across our three schools. Recently, I announced that, after 40 years at DePaul and 15 years as the Dean of CDM, I will be stepping down from the deanship at the end of the 2021–22 academic year. I began my tenure at DePaul in 1981 as an assistant professor, with the founding of the Department of Computer Science, joining seven faculty members who were leaving the mathematics department for this new venture. It has been amazing to watch our college grow during that time. We now have more than 40 undergraduate and graduate degree programs, over 22,000 college alumni, and a catalog of nationally ranked programs. And we plan to keep going. If there is anything I’ve learned at CDM, it’s that a lot can be accomplished in a year (as this report shows), and I’m committed to working hard and continuing the progress we’ve made together in 2021–22. David MillerDeanhttps://via.library.depaul.edu/cdmannual/1004/thumbnail.jp