Deliverable No.: D9 Proof of the concept Validation Results Sept 2008 Final Draft 1.0 Project funded by the European Community under the Sixth Framework Programme for Research and Technological Development. Proof of the Concept – Validation Results Deliverable D 9 Project ref. no.: TREN/06/FP6TR/S07.57248/019939 EMOTION Project title: eMOTION – Europe-wide multi-Modal On-trip Traffic InformatiON Deliverable title: Proof of the Concept – Validation Results Deliverable number: D9 Deliverable status: Public Number of pages: 34 Author(s): Dieter Meinhard (Hitech) Kashif Din (ATTC/arsenal research) Marko Jandrisits (ASFINAG) Norbert Hainitz (ATTC/arsenal research) Walter Schneider (ATTC/arsenal research) Wolfang Schildorfer (Hitech) Status Version Date Change Note ID Final Draft 1.0 15.10.2008 Version sent for Review © eMOTION Consortium Page 2 of 34 Proof of the Concept – Validation Results Deliverable D 9 THE INFORMATION IN THIS DOCUMENT IS PROVIDED AS IS AND NO GUARANTEE OR WARRANTY IS GIVEN THAT THE INFORMATION IS FIT FOR ANY PURPOSE. THE USER THEREOF USES THE INFORMATION AT ITS SOLE RISK AND LIABILITY. FURTHERMORE, DATA, CONCLUSIONS OR RECOMMENDATIONS IN THIS DOCUMENT ARE PROVIDED ON THE BASIS THAT SUCH INFORMATION IS SUBSEQUENTLY, AND PRIOR TO USE, VERIFIED BY THE PARTY WISHING TO USE THAT INFORMATION. © eMOTION Consortium Page 3 of 34 Proof of the Concept – Validation Results Deliverable D 9 List of Abbreviations EC European Commission PCC Project Coordination Committee PM Project Manager PMO Project Management Office RTD Research and Technology Development TCC Technical Coordination Committee WP Work Package WPL Work Package Leader © eMOTION Consortium Page 4 of 34 Deliverable D 9 Proof of the Concept – Validation Results Table of Content 1. EXECUTIVE SUMMARY ................................................................................................. 6 2. METHODOLOGY ............................................................................................................ 7 3. STAKEHOLDERS INVOLVED IN THE POC .................................................................. 9 4. VALIDATION RESULTS ............................................................................................... 11 5. 4.1 PERCEIVED USEFULNESS ......................................................................................... 11 4.2 PERCEIVED EASE OF USE ......................................................................................... 14 4.3 ATTITUDE TOWARD USING/BEHAVIOURAL INTENTION TO USE ..................................... 16 4.4 MAIN STRENGTHS/W EAKNESSES .............................................................................. 19 4.5 DIFFERENTIATORS AND IMPLEMENTATION .................................................................. 21 IMPLEMENTATION EFFORT ....................................................................................... 24 5.1 ORGANIZATIONAL EFFORT ........................................................................................ 24 5.2 TECHNICAL EFFORT.................................................................................................. 25 5.3 ECONOMICAL EFFORT............................................................................................... 26 6. CONCLUSIONS ............................................................................................................ 27 7. LITERATURE................................................................................................................ 28 8. ANNEX.......................................................................................................................... 29 List of Figures Figure 1: Extended Technology Acceptance Monitor ............................................................ 7 Figure 2: Participants in the eMOTION PoC validation .........................................................10 Figure 3: eMOTION is most suitable for ...............................................................................14 Figure 4: What might hinder the usage of eMOTION ...........................................................18 Figure 5: Which initiatives would support the usage of eMOTION most? .............................22 List of Tables Table 1 Economical Impact ..................................................................................................26 © eMOTION Consortium Page 5 of 34 Deliverable D 9 Proof of the Concept – Validation Results Executive Summary The main goal of the eMOTION framework is the specification of a system architecture that is able to integrate existing information services in order to develop a European approach for a multimodal on-trip traffic information service. The Proof of Concept includes two test sites in Genoa, Italy and in Austria aiming at an exemplary implementation of the eMOTION concept in order to gain feedback on the applicability from the perspectives of the different members of the value chain. This document contains the evaluation results of the feedback gained from the partners of both pilot sitesimplemented. The performed questionnaire was designed after the concept of the Technology Acceptance Model ETAM (Extended Technology Acceptance Monitor) and aimed the aspects of usefulness, ease of use, strengths and weaknesses as well as the view of implementation effort. After the description of the evaluation-methodology in section 1 and the involved stakeholders in section 2, a detailed illustration of the validation results is given in section 3 of this report. The implementation effort is analysed separately in section 4. Finally the analyses are closed in the chapter conlusions as section 4 at the end of this document. © eMOTION Consortium Page 6 of 34 Proof of the Concept – Validation Results Deliverable D 9 1. Methodology A primary question in the course of prototype testing frequently is whether the user accepts the development or not. Particular such kind of questions are mostly addressed from a standard technology acceptance perspective conceptually using the Technology Acceptance Model - ETAM (Davis; extended by Morris), shown in the following graph. Perceived Usefulness Perceived Usefulness Attitude Towards Using Behavioural Intention to Use Use Quality of Use Ease of Use Ease of Use t t+1 Figure 1: Extended Technology Acceptance Monitor The ETAM concept is the most widely used approach to assess information system usage. ETAM's measurement qualities have been validated intercultural as well as in more than 100 studies. It translates the vast concept of prototype evaluation into well-defined research questions with recognised statistical benchmarks that can be answered in a valid and reliable way. This focus upon ETAM will assure valid, reliable assessment results that can easily be compared to standard user acceptance data from other research and development activities. In ETAM, technology acceptance is defined as the degree to which individual users will use a given service (e.g. a traffic information data model) when usage is voluntary or discretionary. Key element for service acceptance is the amount the service is actually used. ETAM is based on five indicators of user service acceptance: Perceived Usefulness Ease of Use Attitude towards Using Behavioural Intention to Use Use (Quality and Quantity of Use) Studies on ETAM have shown the importance of perceived usefulness and perceived ease of use as determinants of attitudes and intentions to use a technology. The quality of service experience (quality of use) has been found to significantly influence user perceptions of © eMOTION Consortium Page 7 of 34 Deliverable D 9 Proof of the Concept – Validation Results usefulness and ease of use, while the mere amount of service experience turned out not to do. ETAM results help also to develop indicators for sustainable change of behavioural intention towards the use of services concerned. In order to gain and provide the eMOTION team with such information, success of the project as a user driven research activity, will among other technical criteria also be assessed from the standard technology acceptance perspective described. Given the yet highly specialised and narrow “user/expert community”, as well as the strong need for valid and open field trials, investigations will rather draw upon appropriate qualitative approaches in order to maximise learning. In the course of such an assessment, conceptual standard acceptance dimensions remained unchanged (perceived usefulness, ease of use, attitude towards technology, behavioural intention to use, behavioural intention to reuse) and were used tailor-made based on the specific situation of the respective context aware traffic information data models in the framework of eMOTION. Concluding, the main aim of the above described modules was to derive an indicative and meaningful picture of the acceptance of the eMOTION traffic information data model, providing a valid basis for improvements needed to gain significant market success. © eMOTION Consortium Page 8 of 34 Deliverable D 9 Proof of the Concept – Validation Results 2. Stakeholders involved in the PoC In the eMOTION PoC the following partners were involved in the two test regions: PoC Austria: ASFiNAG together with ORF, OSA, ÖAMTC, ÖBB, Plot, Tele Atlas, Telekom Austria PoC Italy: AMI, CdG, II, OSA, Softeco, Tele Atlas, Telecom Italia Out of these 12 partners 10 partners participated in the validation exercise and completed the survey documented below. For describing the stakeholders involved in the PoC the eMOTION questionnaire contained the following questions. As mentioned above, in total 10 participants answered the questionnaire. The detailed information concerning the role within the eMOTION service chain, the company name, the organisational status, the position of the person who answered the questions and the part of the proof of concept the respective organisation participated in is shown in the following figure. © eMOTION Consortium Page 9 of 34 Proof of the Concept – Validation Results Deliverable D 9 Figure 2: Participants in the eMOTION PoC validation As can be seen in this figure, organisations representing the entire value chain contributed to the validation survey. The results gathered are described in the following chapter. © eMOTION Consortium Page 10 of 34 Deliverable D 9 Proof of the Concept – Validation Results 3. Validation results Based on the Extended Technology Acceptance Model used for the evaluation of user acceptance related to the eMOTION model, the following indicators and topics are analysed: Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using/Behavioural Intention to Use, Main Strengths/Weaknesses and Differentiators and Implementation. The following subchapters contain the relevant questions and answers for the analysed indicators. These questions are part of the proof of concept questionnaire which was sent to the involved proof of the concept eMOTION partners (Annex I). Most of the questions are based on a nominal scale containing the values “strongly agree”, “agree”, “disagree” and “strongly disagree”. Additionally there is always the possibility for the respondent to choose the answer “no opinion”. Moreover, all these questions provide also the possibility to explain the answer in addition in a qualitative manner. The analysis of quantitative items is based on average values; The scale for the analysis is the following: 1 means: strongly agree 2 means: agree 3 means: disagree 4 means: strongly disagree Another type of question is closed ones with the possibility to choose more than one answer. The results of these questions are based on the sum of the values shown in a diagram. The third kind of question is open, i.e. a qualitative one which were analysed in building up blocks of similar answers (clusters). Finally there are some questions regarding the profile of the respondent. 3.1 Perceived Usefulness The first indicator of the ETAM that is analysed is the Perceived Usefulness of the eMOTION model. Therefore the following 8 questions are raised in the eMOTION questionnaire: © eMOTION Consortium Page 11 of 34 Deliverable D 9 Proof of the Concept – Validation Results The result of the above mentioned 5 questions in average is 1.92. That means almost all of the 10 participants agree to the statement that eMOTION is of particular value for technical reasons, for cost efficiency, for improved access and usage of traffic information data, for increasing end user service quality considerably and because of the contractual framework provided. These ratings are an indicator for a high perceived usefulness. The following question are raised as an open question to give the respondents the possibility to add other main benefits of the eMOTION model which are not involved in the above mentioned 5 questions. © eMOTION Consortium Page 12 of 34 Deliverable D 9 Proof of the Concept – Validation Results There are two additional answers raised by the survey participants. The first emphasises the importance of the role of the business enabler concerning the contractual issues such the rights management. The second statement shows the possible cross- use by other (none ITS) domains like environment protection, disaster management, tourism etc. The next question contains the most suitable services for the eMOTION data model which is also a relevant question for the perceived usefulness of eMOTION. Here it is possible to select more than one answer. The following figure shows the results of this question. 80% of the respondents’ point out that the eMOTION model is most suitable for “Dynamic road traffic information”. 4 persons answer that eMOTION is most suitable for “Dynamic multimodal journey planning” and 5 people that eMOTION is most suitable for “Dynamic public transport journey planning”. The lowest score is related to the service “Dynamic freight traffic information” with 2 answers. © eMOTION Consortium Page 13 of 34 Proof of the Concept – Validation Results Deliverable D 9 eMOTION is most suitable for 8 7 7 7 7 6 7 6 5 4 2 Others Dynamic freigth traffic information Dynamic multimodal journey planning Dynamic event traffic information Dynamic weather information Dynamic parking information Dynamic POI information Dynamic public transport journey planning Dynamic public transport information Dynamic road traffic routing information Dynamic road traffic flow data 1 Dynamic rad traffic information 9 8 7 6 5 4 3 2 1 0 Figure 3: eMOTION is most suitable for The last question for the indicator perceived usefulness gives the respondents the possibility to add further eMOTION services which would be of high value for them. There was one answer which pointed out the importance of the registry services as they are the core of the infrastructure and necessary for the publish-find-bind paradigm. Summing up the results of the above mentioned questions, the indicator Perceived Usefulness is rated high with respect to the eMOTION model. That base on the average value of 1.92 of the first five questions and the high number of applications perceived useful. 3.2 Perceived Ease of Use The second indicator of the ETAM that was analysed is the Perceived Ease of Use of the eMOTION model. Therefore the following 6 questions were raised in the eMOTION questionnaire. The result of the first 5 questions is in average 2.48. This means that the perceived ease of use of the eMOTION model or in other words the answer to the question “the eMOTION model is easy to use” from the point of view of the respondents of this questionnaire is more or less in the middle. The value 2.48 means half of the respondents agree to the question and the other half disagree, thus there is certainly the need to further © eMOTION Consortium Page 14 of 34 Deliverable D 9 Proof of the Concept – Validation Results improve the ease of use of the eMOTION model. © eMOTION Consortium Page 15 of 34 Deliverable D 9 Proof of the Concept – Validation Results The result of the following open question also influences the indicator perceived ease of use. It is an open question and therefore the answers of the respondents are analysed in a different way to the above closed questions. In general the more answers to this question exist the more negative influence on the ease of use this question has. There were two respondents answering this question, meaning that 20% of the people who answered the questionnaire have installation constraints. The one answer contains the necessary strong political support so spread the use of the eMOTION model and the other statement points out that the full specifications has not been implemented into the proof of concept but the most important was covered. In total the indicator perceived ease of use of the eMOTION model is medium ranged which bases on the average value of 2.48 of the above mentioned questions and the two additional installation constraints. 3.3 Attitude Toward Using/Behavioural Intention to Use The next part of the analysis contains the indicators “Attitude Towards Using” and “Behavioural Intention to Use”. Due to the questions raised in the questionnaire this two indicators of the ETAM are analysed together. There are three different types of questions for these two indicators. The questions 15 and 16 are ordinal scaled and the average value of these 3 questions is 2.63, which stands for a medium ranking towards the future usage of the eMOTION model. © eMOTION Consortium Page 16 of 34 Deliverable D 9 Proof of the Concept – Validation Results The next question contains the potential reasons for hindering the usage of eMOTION. The analysis of this question is based on the sum of the marked answers. Here, the highest value of the above figure is the “Readiness to co-operate along the value chain”. 7 of 10 people marked this item positive. Half of the people argued that “Implementation issues”, “Barriers within the organisation” or “Regulatory processes” might hinder the usage of eMOTION. © eMOTION Consortium Page 17 of 34 Proof of the Concept – Validation Results Deliverable D 9 What might hinder the usage of eMOTION 8 7 7 6 5 5 5 5 4 3 3 2 1 1 0 Others Regulatory processes Readiness to co-operate along value chain Different international standards Barriers within the organisation Implementation issues Price 0 Figure 4: What might hinder the usage of eMOTION The following question faces the time frame for implementing the eMOTION model. From the point of view of the study team the shorter the time foreseen to implement the eMOTION model the higher the attitude to use or behavioural intention to use. The average value of this question is 1.63. To interpret this 1.63 you have to consider that the value 1 means “Now” and the value 6 means “No opinion”. So 1.63 shows a very short time for a possible implementation of the eMOTION model. The next two questions deal with the willingness to pay for implementing eMOTION and the ongoing usage costs. The investment costs were mentioned by two respondents. The one argued € 75.000 and the other € 200.000. © eMOTION Consortium Page 18 of 34 Deliverable D 9 Proof of the Concept – Validation Results With respect to the monthly costs for the eMOTION service provision the question is answered only from one respondent: € 500 each month. Summing up the results of the questions concerning the indicator Attitude Toward Using/Behavioural Intention to Use the study team results in an indifferent picture. On the one side the time frame foreseen for implementing the eMOTION model is pretty short and on the other side only a few people answered questions regarding the willingness to pay and mentioned a lot of potential reasons for hindering the usage of eMOTION. Here, further analysis is needed to derive a valid picture on the behavioural intention to use. 3.4 Main Strengths/Weaknesses The following subchapter deals with the strengths and the weaknesses of the eMOTION model. The results of these questions do not directly influence the ETAM but are very important for the further development of the eMOTION model. The questions dealing with the strengths and the weaknesses are open questions and the analysis is based on clustering similar answers. Before answering the questions dealing with the strengths and the weaknesses of the eMOTION model another question concerning the experience during the implementation of the eMOTION model is raised. It is also an open question and the results are clustered. The positive experiences of the involved partners in the PoC are: The high quality of the data model including the high fit of the used standards, the complexity of the model and the well defined and extensive UML model that follows the INSPIRE architecture and therefore can be used as a basis for many different implementations. The easy possibility to integrate external data sources or partners (services) due to the eMOTION model © eMOTION Consortium Page 19 of 34 Deliverable D 9 Proof of the Concept – Validation Results Finally the high involvement of the study team which was involved in the PoCs. After mentioning the positive experiences while implementing the eMOTION model there are also some negative experiences: The complex data structure likely to result in a high implementation effort and also emerging challenges to find the best elements of the data model to be used in the implementation phase The complex service landscape makes it difficult to set up an appropriate PoC; Also partly missing content and service providers or public transport operators are hindering an even more valid PoC A too broad PoC approach in the light of given time restrictions. The clustered results of the strengths of the eMOTION model are: The complex data model with a state of the art approach covering ITS and LBS, based on international standards. This means that the model can be used in the different situations and reflects a part of many standards that already exist. The eMOTION model is a developed framework standard out of multiple sub-standards. The open architecture of the eMOTION model and usage of open standards that allows an easy integration of different data sources (private, public) and stakeholders The value added services of eMOTION for the stakeholders The possibility to overcome some technical barriers in setting up of multimodal traffic information services The fact that every domain of relevance for real time information is covered The clustered answers for the weaknesses of the eMOTION model are: The complex data model The lack of support for commonly used tools (e.g. Axis) The little integration of PT information during the implementation phase The limited chance of bringing together partners in the value chain due to certain policies and interests of these partners. © eMOTION Consortium Page 20 of 34 Deliverable D 9 Proof of the Concept – Validation Results 3.5 Differentiators and Implementation The following subchapter contains some differentiators to other traffic information related business to business solutions and also implementation topics. The above mentioned question concerns the differentiators of the eMOTION model with respect to other traffic information related business to business solutions. The clustered answers to that open question are: The integration of all interests (also legal aspects) of the members of the value chain for the best business solution The SOA approach and the complete data model The adoption of an open standard allowing every subject interested in participation to deliver their content or services The SDI compliancy and the harmonized cross-domain model The eMOTION model defines common and uniform interfaces. Most of the current implementations are proprietary and require a lot of work to create applications (if multiple sources) The fact that the responsibilities of the data stay with the content owner while be part of a market place. The following points are the result of the question regarding the main requirements to be considered when implementing the eMOTION model. Legal and financial aspects Distributed nodes and strong compliance with the eMOTION data model and services Concerning the PT, especially for railway undertakings it is important to observe the needs of the appropriate TSI’s (Technical specifications for interoperability) of the European Union The highly skilled architects and developers to cover all aspects of the model To identify which aspects (parts of the model) will be considered and make a software/database analysis to ensure that nothing will hamper the implementation. The quality of the data used. © eMOTION Consortium Page 21 of 34 Proof of the Concept – Validation Results Deliverable D 9 The following question concerns the initiatives which would support the usage of eMOTION most. Due to the fact that it was possible to check more than one answer the analysis is done with summing up the separate values. The results are shown in the diagram below. For 8 of 10 respondents the public interest/funding is the most important initiative to support the usage of the eMOTION model. The second positive factor for supporting the usage is the standardisation (6 persons) and the third positive factor is that others should use the solution first. Which initiatives would support the usage of eMOTION most? 9 8 8 7 6 6 5 5 4 3 3 2 1 0 0 Regulations Standardisation Public interest / Others using Funding the solution Others Figure 5: Which initiatives would support the usage of eMOTION most? The next question deals with other interesting applications for eMOTION. The respondents mentioned the following applications: Possible cross-use by other (none ITS) domains, like environment protection, disaster management, tourism, etc. The high scalability of the eMOTION framework and architecture could be adapted for any need. © eMOTION Consortium Page 22 of 34 Deliverable D 9 Proof of the Concept – Validation Results The last question of the questionnaire addresses recommendations with respect to the further specification of the eMOTION model from the technical, commercial and legal point of view. The clustered answers are: A technical recommendation was that the following eMOTION model should be strong compliant with the existing eMOTION model. Another technical recommendation was to reduce complexity and simplify the naming The production of detailed guidelines and examples for a concrete implementation of the eMOTION services. (Not exactly technical specifications of the model.) The PoC experience that will be documented will be a very good starting point in that sense. References to further experiences and existing practices would be extremely helpful. A further technical recommendation is that the location reference translation has to be explored. A commercial recommendation is that a full business enabler concept has to be tried out. Another commercial recommendation is to provide an easy to use framework © eMOTION Consortium Page 23 of 34 Proof of the Concept – Validation Results Deliverable D 9 4. Implementation effort In the following three the implementation efforts are identifies in three main contexts: Organizational, technical and economical. Overall, the activities required the whole PM necessary for the WP5 activities. The impact of a single aspect in the overall implementation effort is identified with the following measure: Low (indicates a low impact, often not involving all the partners) Medium (indicates a medium impact: either an activity requiring a medium-long time from one or two partner or a short-medium time activity involving all the partners ) High (indicate a major impact: a complex activity often involving more than one-two partners or an activity of high economic impact such as the setup of a test environment for the development) 4.1 Organizational effort From the point of view of organization the following activities have been scheduled and executed by the group of partners involved in the Genoa test site: Overall design of the Proof of the concept: (low) o Main purposes of the PoC o Type of application o Spatial context o Target Users Identification of data and services (medium) o Identification and detailed description of available data from previous collaboration with involved partners. o Possible improvements of available data and services o Identification of new data o Identification of content providers (for new data) o Verification of availability of data from the point of view of: Actual availability and possible complexity for data access Legal constraints o Identification of new services based on new data o Estimation of the effort necessary (for new and available data) to implement eMOTION Data services Identification of the infrastructure necessary to run the PoC: (low) © eMOTION Consortium Page 24 of 34 Proof of the Concept – Validation Results Deliverable D 9 o o Specification of infrastructure requirements in terms of Overall infrastructure specifications Web Application Hosting requirements Web service hosting requirements Connectivity Identification of available infrastructures on the basis of the specifications Setup of a test environment: (high) o For testing external technologies (e.g. WMS/WFS technology) o For developing applications and services 4.2 Technical effort The main technical effort is related to the design and the actual realization of every application and service necessary for the Proof of the concepts. It is also related to maintenance activities and technical improvements. The following activities have been scheduled and executed by the group of partners involved in the Genoa test site: Proof of the Concept Architecture (medium) o Simple Data service structure o Identification of nodes of the SOA (content providers, service providers, service operators etc.) o Complete Architecture layout with specific WMS/WFS interface specifications for each node. o Discussion and approval End user application design (low-medium) o Identification of technology used by the end user application o Identification of sections and main navigation principles o Design of the Application Template (structure, layout, colours etc.) in terms of HTML structure and CSS. This has been also made available for the whole group of applications tied to the Proof of the Concept activities: PoC applications Utility applications (such as the custom web tools for making queries directly to the WMS/WFS) The eMOTION Portal Identification of technologies and products for the implementation of WMS/WFS (medium) © eMOTION Consortium Page 25 of 34 Proof of the Concept – Validation Results Deliverable D 9 o Brainstorming and internet search o Installation and test in the appropriate test environment o Assessment and validation of results Implementation and test (high) o Web application (end user application) o Data services o Other components/applications used by data services (such the OGCProxy component described in D8, prototype) o Integration of existing WMS/WFS (such as the Tele Atlas web services) o Test activities 4.3 Economical effort The identification of economical efforts should consider the Person-month costs derived from the previously identified efforts. From the point of view of training, infrastructure (connectivity and licenses/costs for the use of external data here’s a summary of the efforts for the Genoa PoC: Type of cost Impact for eMOTION PoC Training of personnel Low (personnel already familiar with eMOTION technologies and standard) Infrastructure (web Low (used existing infrastructure) servers, database servers) Connectivity Low (used existing infrastructure) Use of external Data Very low (data free for use within eMOTION) Table 1 Economical Impact © eMOTION Consortium Page 26 of 34 Deliverable D 9 Proof of the Concept – Validation Results 5. Conclusions The validation of the PoC is done with a questionnaire, which was sent to all participants of the PoC in Austria and Italy. Out of these 12 partners 10 partners participated in the validation exercise and completed the survey. A primary question in the course of the prototype testing frequently is whether the user accepts the development or not. The theoretical model for measuring the acceptance related to the eMOTION model is the ETAM. Therefore three indicators are analysed out of the questions of the questionnaire: perceived usefulness, perceived ease of use, and attitude toward using/behavioural intention to use. The indicator perceived usefulness is rated high with respect to the eMOTION model. This result bases on the average value of 1.92 of five questions concerning this indicator and the high number of applications perceived useful. The second indicator perceived ease of use of the eMOTION model is medium rated, which bases on the average value of 2.48 of five mentioned questions and two additional installation constraints. The one answer contains the necessary strong political support to spread the use of the eMOTION model and the other statement points out that the full specifications has not been implemented into the proof of concept but the most important was covered. Summing up the results of the questions concerning the indicator attitude toward using/behavioural intention to use the study team results in an indifferent picture. On the one side the time frame foreseen for implementing the eMOTION model is pretty short and on the other side only a few people answered questions regarding the willingness to pay and mentioned a lot of potential reasons for hindering the usage of eMOTION. Here, further analysis is needed to derive a valid picture on the behavioural intention to use. Besides the questions concerning the ETAM the study team asks for the strengths and the weaknesses of the eMOTION model. The main strength of the eMOTION model from the point of view of the respondents is the complex data model with a state of the art approach covering ITS and LBS, based on international standards. This means that the model can be used in the different situations and reflects a part of many standards that already exist. The eMOTION model is a developed framework standard out of multiple sub-standards. The question regarding the main requirements to be considered when implementing the eMOTION model shows three main results: Legal and financial aspects, the necessity of highly skilled architects and developers to cover all aspects of the model, and the quality of the data. And the question concerning the initiatives which would support the usage of eMOTION most points out that for 8 of 10 respondents the public interest/funding is the most important initiative to support the usage of the eMOTION model. The second positive factor for supporting the usage is the standardisation (6 persons) and the third positive factor is that others should use the solution first. © eMOTION Consortium Page 27 of 34 Deliverable D 9 Proof of the Concept – Validation Results 6. Literature In order to gain fully understanding of this document, it is highly suggested to be familiar with previous deliverables. © eMOTION Consortium Page 28 of 34 Deliverable D 9 Proof of the Concept – Validation Results 7. Annex Annex 1 - eMOTION Proof of Concept | Feedback Questionnaire © eMOTION Consortium Page 29 of 34 Deliverable D 9 © eMOTION Consortium Proof of the Concept – Validation Results Page 30 of 34 Deliverable D 9 © eMOTION Consortium Proof of the Concept – Validation Results Page 31 of 34 Deliverable D 9 © eMOTION Consortium Proof of the Concept – Validation Results Page 32 of 34 Deliverable D 9 © eMOTION Consortium Proof of the Concept – Validation Results Page 33 of 34 Deliverable D 9 © eMOTION Consortium Proof of the Concept – Validation Results Page 34 of 34
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