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In the cloud based video post-production industry, video files possessing large amounts of metadata is very common. When working with such files, a search interface with functionality that takes advantage of this data, with functions such as filtering, creating specific queries, and searching for the videos content, could greatly increase the ease of use of handling a large amount of files. In this thesis a high fidelity prototype is developed of a search feature on said video assets in a web-based video platform. The prototyping process consisted of iteratively designing prototypes with more and more fidelity, with design choices supported by user testing and expert evaluation. A total of three different design-iterations were made, one of low, medium and high fidelity, as well as a proof of concept for the creation of search tags. Each iteration was based on the result of the testing and evaluation of the previous iteration. The final prototype features a faceted search system of checkboxes and search tags for different video properties, that was well received by user tests and evaluation alike. The faceted search was found to be very efficient and easy to use for this application. The search tags was well understood and showed potential for ”pro functionality” as the interface becomes more complex and more features are added, they were in the current design however, arguably not needed as users preferred to use other parts of the interface. The overall layout of the design was also found to potentially require a redesign, depending of the kind of metadata present in a real world scenario, to fit the faceted search which dynamically change with the availability of metadata on the files. / I den molnbaserade post-production industrin för video, är videofiler med stora mängder metadata väldigt vanligt. När man arbetar med sådana filer kan ett sökgränssnitt med funktionalitet som utnyttjar denna data, med funktioner som filtrering, skapande av specifika sökfrågor och sökande efter videons innehåll, avsevärt öka användarvänligheten för att hantera en stor mängd filer. I denna uppsats utvecklas en high-fidelity prototyp för en sökfunktion på video filer i en webbaserad videoplattform. Prototypprocessen bestod av att iterativt designa prototyper med högre och högre fidelity, med designval som stöttades av användartestning och expertutvärdering. Totalt gjordes tre olika design- iterationer, en med låg, medelhög och hög fidelity, samt ett proof of concept för skapandet av söktaggar. Varje iteration baserades på resultatet av testningen och utvärderingen av den tidigare iterationen. Den slutgiltiga prototypen har ett facetterat söksystem med kryssrutor och söktaggar för olika videoegenskaper, som togs emot väl av både användartester och utvärdering. Den facetterade sökningen visade sig vara mycket effektiv och lätt att använda för den här tillämpningen. Söktaggarna var väl förstådda och visade potential för ”pro- funktionalitet” då gränssnittet blir mer komplext och fler funktioner lades till, dock i den nuvarande designen, kan de anses oanvändbara eftersom användare föredrog att använda andra delar av gränssnittet istället. Designensövergripande layout visade sig också potentiellt kräva en omdesign, beroende på vilken typ av metadata som finns i ett verkligt scenario, för att få plats med hela facetterade sökningen som dynamiskt ändrar sig med tillgängligheten av meta-data på filerna.

Many organizations are trying to re-create the ‘Google experience’, to find and exploit their own corporate information. However, there is evidence that finding information in the workplace using search engine technology has remained difficult, with socio-technical elements largely neglected in the literature. Explication of the factors and generative mechanisms (ultimate causes) to effective search task outcomes (user satisfaction, search task performance and serendipitous encountering) may provide a first step in making improvements. A transdisciplinary (holistic) lens was applied to Enterprise Search and Discovery capability, combining critical realism and activity theory with complexity theories to one of the world’s largest corporations. Data collection included an in-situ exploratory search experiment with 26 participants, focus groups with 53 participants and interviews with 87 business professionals. Thousands of user feedback comments and search transactions were analysed. Transferability of findings was assessed through interviews with eight industry informants and ten organizations from a range of industries. A wide range of informational needs were identified for search filters, including a need to be intrigued. Search term word co-occurrence algorithms facilitated serendipity to a greater extent than existing methods deployed in the organization surveyed. No association was found between user satisfaction (or self assessed search expertise) with search task performance and overall performance was poor, although most participants had been satisfied with their performance. Eighteen factors were identified that influence search task outcomes ranging from user and task factors, informational and technological artefacts, through to a wide range of organizational norms. Modality Theory (Cybersearch culture, Simplicity and Loss Aversion bias) was developed to explain the study observations. This proposes that at all organizational levels there are tendencies for reductionist (unimodal) mind-sets towards search capability leading to ‘fixes that fail’. The factors and mechanisms were identified in other industry organizations suggesting some theory generalizability. This is the first socio-technical analysis of Enterprise Search and Discovery capability. The findings challenge existing orthodoxy, such as the criticality of search literacy (agency) which has been neglected in the practitioner literature in favour of structure. The resulting multifactorial causal model and strategic framework for improvement present opportunities to update existing academic models in the IR, LIS and IS literature, such as the DeLone and McLean model for information system success. There are encouraging signs that Modality Theory may enable a reconfiguration of organizational mind-sets that could transform search task outcomes and ultimately business performance.

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