The emerging need for dynamically scheduled real-time systems requires methods for handling transient overloads. Current methods have in common that they deal with transient overloads as they occur, which gives the real-time system limited time to react to the overload. In this work we enable new approaches to overload management. Our work shows that artificial neural networks (ANNs) can predict future transient overloads. This way the real-time system can prepare for a transient overload before it actually occurs. Even though the artificial neural network is not yet integrated into any system, the results show that ANNs are able to satisfactory distinguish different workload scenarios into those that cause future overloads from those that do not. Two ANN architectures have been evaluated, one standard feed-forward ANN and one recurrent ANN. These ANNs were trained and tested on sporadic workloads with different average arrival rates. At best the ANNs are able to predict up to 85% of the transient overloads in the test workload, while causing around 10% false alarms.

Information and communication technology (ICT) had a huge impact on the healthcare services and the Internet plays an important role in forming patients’ attitudes towards health related services. Although the Internet mentioned as one of the major contributors in todays’ Information Overload (IO), common notion is that healthcare sector has been remained immune of IO effects. Throughout an action research, this study showed that IO has significant impact on treatment sessions of patients suffering from chronicle mental disorders in two ways. Firstly, patients’ acquired information from the Internet bombards physician in the treatment sessions, which eventually slows down the treatment process. Secondly, protocols and administrative procedures are subject to change, which leads to frustrating relearning cycles due to the huge amount of information attaching to them. Also, physicians have a tendency to keep themselves updated about new achievements in their field, which adds to the IO problem. In an attempt to enhance the situation an application model purposed in the second half of this research, which uses social web as a platform to provide a service based on Information Logistics (IL) principles to deal with the problem of IO.

Att uppnå situationsmedvetenhet kan helt avgöra ifall en person klarar av att lösa en specifik uppgift eller inte. Dagens ledningssystem har ofta som uppgift att stödja användaren att upp nå situationsmedvetenhet och därmed klara av att lösa sina uppgifter. Detta examensarbete syftar till att undersöka vilka potentiella brister det kan tänkas finnas inom de militära och civila ledningssystemen. Att lista dessa problem är av intresse då det är av stor vikt att kunna se hur dessa system skulle kunna tänkas förbättras. Både utvecklare och användare har intervjuats i syfte att samla in viktiga åsikter. Resultatet blev en lista där de största problemen redovisades samt vilken inverkan de kan tänkas ha på användaren och dennes arbetsuppgifter.

Information overload förekommer på alla arbetsplatser där informationsbearbetning är viktigt för arbetsprocesserna. I vissa fall kan information overload medföra allvarliga konsekvenser både för den enskilda medarbetaren och för verksamheten i stort. På akutmottagningen på Centrallasarettet i Växjö har sjuksköterskorna en viktig roll som samordnare av den information som används i patientarbetet. Syftet med denna undersökning är att undersöka vilka faktorer som främst orsakar information overload hos sjuksköterskorna på akutmottagningen CLV, samt att undersöka hur fenomenet IO påverkar vårdkvaliteten. Under mars och april 2007 genomfördes intervjuer med sju sjuksköterskor på den aktuella akutmottagningen utifrån en frågemall som utformats med hjälp av aktuell forskning på information overload. Resultatanalysen skedde utifrån en specifik orsakstabell som tagits från en litteratursammanställning av Eppler och Mengis (2004). Orsakstabellen utgår ifrån fem specifika områden - personliga faktorer, informationens karaktär, arbetsuppgifter och processparametrar, organisatorisk design samt informationsteknologi. Studien har genomförts utifrån en kvalitativ ansats. Undersökningen visar att sjuksköterskorna på akutmottagningen ofta drabbas av information overload, och att riskfaktorer finns i samtliga fem ovanstående kategorier. Flera av deltagarna upplever regelbundet information overload-relaterade symtom och detta riskerar att hota patientsäkerheten på mottagningen. Dessutom leder det till minskad arbetstillfredsställelse hos sjuksköterskorna. Slutligen konstateras att en ordentlig informationsplan behöver upprättas för att rätta till de missförhållanden som orsakar information overload. Det är framför allt viktigt att informationen är relevant och hanterbar för att höja patientsäkerheten och vårdkvaliteten. / Information overload exists in all organisations where information processing is important for the work process. In some cases information overload is a serious threat to both the individual who suffers from it and to the organisation at large. At the emergency department at the Central Hospital in Växjö the nurses have an important function as coordinators of the information used in the patient treatments. The purpose of this study is to find out which factors primarily cause information overload in the emergency department and what implication this has on the quality of care given there. In March and April of 2007 seven nurses were interviewed on the subject of information overload. Through a literary review relevant questions were formed for the interviews. The analysis of the answers were conducted from a table by Eppler and Mengis (2004) illustrating the causes of information overload. The table has five sub categories, personal factors, information characteristics, task and process parameters, organizational design and information technology. The study has a qualitative approach. The result shows that the nurses at the ED are often affected by information overload, and that risk factors exist in all five sub categories mentioned above. Several nurses regularly experience symptoms caused by information overload, and this is a threat to patient safety at the ED. It also causes dissatisfaction in the daily work. Finally we conclude that a proper information plan is needed in order to find solutions to the problem. The information needs to be relevant and manageable to increase patient safety and the quality of care.

No description available.

As workplaces have become more digitalized and improvements constantly being made in order to optimize performance, it becomes pivotal for managers to understand how stress within organizations can be linked to the information- and communication technology within them. This thesis addresses the research gap of several studies existing regarding technology-related stress, but where a majority of them are quantitative in nature and overlooking the important aspect of organizational culture. The purpose of this thesis is to create an understanding regarding how managers perceive technostress in their organization, and how counterstrategies, if any, are applied. The added value of this research is that it highlights how poorly understood the problem of information overload is amongst certain managers, while highlighting the cultural aspects within organizations and their contributions to the problem. The results show that while many aspects related to information overload are noticed by managers and employees alike, very few – if any – counterstrategies exists in order to highlight and combat the problems that information overload entails. While individual practices existed, few could be realized at an organizational level without first addressing company culture.

The method development process in liquid chromatography (LC) involves optimization of a variety of method parameters including stationary phase chemistry, column temperature, initial and final mobile phase compositions, and gradient time when gradient mobile phases are used. Here, a general simulation program to predict the results (i.e., retention time, peak width and peak shape) of LC separations, with the ability to study various complex chromatographic conditions is described. The simulation program is based on the Craig distribution model where the column is divided into discrete distance (Δz) and time (Δt) segments in a grid and is based on parameterization with either the linear solvent strength or Neue-Kuss models for chromatographic retention. This algorithm is relatively simple to understand and produces results that agree well with closed form theory when available. The set of simulation programs allows for the use of any eluent composition profile (linear and nonlinear), any column temperature, any stationary phase composition (constant or non-constant), and any composition and shape of the injected sample profile. The latter addition to our program is particularly useful in characterizing the solvent mismatch effect in comprehensive two-dimensional liquid chromatography (2D-LC), in which there is a mismatch between the first dimension (1D) effluent and second dimension (2D) initial mobile phase composition. This solvent mismatch causes peak distortion and broadening. The use of simulations can provide a better understanding of this phenomenon and a guide for the method development for 2D-LC. Another development that is proposed to have a great impact on the enhancement of 2D-LC methods is the use of continuous stationary phase gradients. When using rapid mobile phase gradients in the second dimension separation with diode array detection (DAD), refractive index changes cause large backgrounds such as an injection ridge (from solvent mismatch) and sloping baselines which can be problematic for achieving accurate quantitation. Use of a stationary phase gradient may enable the use of an isocratic mobile phase in the 2D, thus minimizing these background signals. Finally, our simulator can be used as an educational tool. Unlike commercially available simulators, our program can capture the evolution of the chromatogram in the form of movies and/or snapshots of the analyte distribution over time and/or distance to facilitate a better understanding of the separation process under complicated circumstances. We plan to make this simulation program publically available to all chromatographers and educators to aid in more efficient method development and chromatographic training.

Stock market investors are making investment decisions in an information-rich environment. In their attempt to afford investors all the decision-relevant information, standard setters are continually adding to the already weighty load seemingly oblivious to the cognitive limitations of humans. Information overload has long been recognized as a problem to decision-makers. The information overload literature is robust with studies supporting the inverted U hypothesis: Decision accuracy will increase with additional information to the point of maximum processing capability, then decline. The decision style literature has supported the theory that individuals can be classified according to the quantity of information that they are able to process effectively. This study combined the two theories to develop hypotheses about how investors with differing decision styles might behave differently in an information-rich environment. The hypotheses were tested in an internet-based stock market investment experiment. In general, the study did not find significant differences in the decisions of investors with different decision styles. Though the results of the experiment failed to support most of the hypotheses, the study revealed some interesting facts about the investors who participated in this study. There was an unusually high concentration of the analytic decision style in this group. This style, according to the theory, is the one best able to manage high information processing demands. A further analysis of the respondent style dominance reveals that all of the styles had significant analytic influence. This could explain the lack of variation in the decision accuracy of the respondents. It is also possible that the respondents in this study did not reach a point of information overload. Based on prior literature, the study incorporated ten information items. However, the particular items selected may not have created a sense of information overload for the respondents. Future research should increase the information available to respondents and observe whether differences in decisions can be explained by differences in decision styles in an information overload situation. This study provides a baseline for future studies examining how investors make decisions when so much information is available.

京都大学 / 0048 / 新制・論文博士 / 博士(医学) / 乙第13354号 / 論医博第2200号 / 新制||医||1044(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 長船 健二, 教授 木村 剛, 教授 羽賀 博典 / 学位規則第4条第2項該当 / Doctor of Medical Science / Kyoto University / DFAM

京都大学 / 新制・課程博士 / 博士(医学) / 甲第23060号 / 医博第4687号 / 新制||医||1048(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 齊藤 博英, 教授 湊谷 謙司, 教授 萩原 正敏 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM