though Tui ( , ) / Toi ( ) , in which To( i ) is the averageattention duration of historical users on item i , and Tui ( , )is the attention duration of user u .Combining the user rating and the user attentionduration, we define the experience of user u on item iasTui ( , )Eui ( , ) Impactui ( , ) . (6)To()iBased on equation (6), we introduce the definition ofindividual user experience asTui ( , )Eu ( ) Eui ( , ) Impactui ( , ) . (7)To()iiA( u) iA( u)Quantitative Evaluation of Group User ExperienceAs we have mentioned, group user experience include notonly each member’s direct experience but also indirectexperience. In other words, group user experience is thesum of each member’s direct experience and indirectexperience. At the same time, different types of user groupswould result in different kinds of evaluation models ofgroup user experience. In this section, we will discuss thequantitative evaluation of group user experience accordingto the four different types of user groups.Case 1: Tightly Coupled Homogeneous GroupsFor a tightly coupled homogeneous group, on the one hand,the relationships among members are equal and themembers have the same privileges. This means that eachmember’s direct experience has the same weight in theevaluation model of group user experience. On the otherhand, members are close to each other and theintercommunication plays an important part, so the indirectexperience should be taken into account in forming groupuser experience. We define the quantitative evaluationmodel of group user experience for this kind of user groupsasEG ( ) [ Eu ( ) Eu( )] , (8)withuGTi () E( u) ( u) Impact( u, i), and ( u)To()iiA( G)iA( u)( 0 ( u) 1 ) is the receptivity of user u whencommunicating with the other members; Impact( u, i) isthe revised average rating for item i given by groupmembers who have visited item i ; Ti ( ) is the averageattention duration of item i given by group members whohave visited item i .Case 2: Loosely Coupled Homogeneous GroupsSimilarly to the tightly coupled homogenous group, on theone hand, members of a loosely coupled homogenous grouphave the same privileges and each member’s directexperience has the same weight in the evaluation model. Onthe other hand, members of this kind of groups areestranged to each other and the intercommunication can beignored. Therefore, we define the quantitative evaluationmodel of group user experience for this kind of user groupsasEG ( ) Eu ( ). (9)uGCase 3: Tightly Coupled Heterogeneous GroupsFor a tightly coupled heterogeneous group, on the one hand,the relationships among members are unequal and membershave different privileges. This means that each member’sexperience has different weight in the evaluation model. Onthe other hand, members are familiar to each other and theintercommunication plays an important part, so the indirectexperience should be taken into account. We define thequantitative evaluation model of group user experience forthis kind of user groups asEG ( ) { ( u) [ Eu ( ) Eu( )]} . (10)uGIn equation (10), ( u)( 0 ( u) 1 ) is theinfluence of user u to the overall group user experience.Case 4: Loosely Coupled Heterogeneous GroupsSimilarly, the evaluation model of group user experience forloosely coupled heterogeneous groups is defined asE( G) [ ( u) E( u)]. (11)uGIt must be pointed out that although group members oftightly coupled user groups are familiar to each other,generally speaking, during their intercommunication not allthe items are discussed, maybe only those most impressingand interesting items are involved. This means that theindirect experience a user acquired is usually less thanEu ( ) as defined in equations (8) and (10). Therefore, weintroduce a parameter (0 1 ) to describe thediscussion lever of a user group, where relates to thefamiliarity extent of group members. Similarly, for aloosely coupled user group, although its members areestranged to each other, there still is intercommunicationand the indirect experience should been taken into account.As a consequence, the evaluation model of group userexperience for two types of homogenous user groups can bedefined in a uniform format asE( G) [ E( u) E( u)] . (12)uGSimilarly, the evaluation model of group userexperience for two types of heterogeneous user groups canbe defined in a uniform format asEG ( ) { ( u) [ Eu ( ) Eu( )]} . (13)uGAccording to equations (8)-(13), we find thatquantitative evaluation models of group user experience fordifferent types of user groups have a similar format. In fact,equation (12) is a special modality of equation (13), wherethe value of ( u)is 1. Therefore, the quantitativeevaluation models of group user experience for fourdifferent categories of user groups can be expressed in auniform format using equation (13).42
During the above discussion, user groups are dividedinto four categories, and the quantitative evaluation modelof group user experience for each kind of group has beenstudied separately. However, an actual user group could bemuch more complex, and a single user group may includeseveral independent and distinct subgroups, for instance, atourist group may comprise several subgroups of family andfriends. For such complex and mixed groups, the evaluationmodel will become much more complicated. Inspired by [1]in which a method for combining subgroups’ preferenceshave been proposed, we divide a mixed group into severalsubgroups and each subgroup falls into one of the fourgroup types previously defined. The experience of eachsubgroup is calculated separately and the overall experienceis acquired by aggregating each subgroup’s experience.Evaluation model of such user groups is defined asEG ( ) ( Gi) EG(i), (14)Giwith ( G i) represents the influence of subgroup G ito| Gi|the whole group and ( Gi) ( Gi) , where| G | ( G i)(0 ( G i) 1) is the weight of subgroup Gi.PROTOTYPE IMPLEMENTATION AND EXPERIMENTThe museum has proved to be an effective platform for thedemonstration and evaluation of innovative ubiquitouscomputing techniques, because of the inherent mobility ofpotential users, a wide diversity of attractive materials forpresentation, and the potentials of tourism and associatedmarkets [9].We have developed a prototype system of intelligentmuseum named iMuseum to evaluate ubiquitous computingtechniques [10]. It provides adaptive and personalizedservices, such as route navigation, exhibit recommendationand information presentation, on both the individual andgroup level. In iMuseum, the primary goal is to produce amultifaceted system that accompanies visitors andaugments their overall museum experience. In order tovalidate the evaluation model of group user experienceproposed in this paper, we designed an experiment based oniMuseum.Experimental DesignWe assume that a group of three visitors (Jim, Eva and Ben)are visiting the museum and this group may fall into one ofthree different categories, i.e. family, friends and tourists.They have visited ten exhibits (marked A-J) and theirratings have been given in Table 1, where blanks denotethat the visitor did not visit that exhibit. The ratings rangefrom 1 to 10, and a larger rating represents a betterexperience.According to group types, we have designed threedifferent scenes for our simulative visitors to mark theiroverall experience:Scene 1: Assume that Jim and Eva are husband andwife, and Ben is their child. The simulative visitors arerequired to give the perceived overall experience of thesethree persons respectively.Scene 2: Assume that Jim, Eva and Ben are peerfriends. The simulative visitors are required to give theperceived overall experience of these three personsrespectively.Scene 3: Assume that Jim, Eva and Ben are membersof a tourist group and they did not know each other beforethis tourism. The simulative visitors are required to give theperceived overall experience of these three personsrespectively.A B C D E F G H I JJim 8 7 6 7 4 3 7Eva 7 7 6 10 8 2 9Ben 9 8 8 10 6 8 9 8Table 1. Ratings by a group of three viewersExperimental Results and DiscussionAs a preliminary experiment, we did a survey on fifteensimulative visitors asking them to give their perceivedoverall experience of Jim, Eva and Ben respectivelycorresponding to the three scenes designed above. Theresult of the survey is showed in Table 2.Scene 1 Scene 2 Scene 3Jim Eva Ben Jim Eva Ben Jim Eva Ben8 9 9 8 8 9 7 8 98 9 10 7 8 8 7 8 86 7 8 6 6 7 5 6 78 8 9 8 8 8 6 7 87 7 9 6 7 8 7 7 87 7 8 6 8 8 9 8 98 8 9 7 8 9 8 9 98 9 9 7 8 9 7 8 87 7 8 7 8 9 7 7 87 8 9 7 8 9 7 8 88 9 9 7 8 9 6 7 98 9 9 7 8 8 5 7 88 8 9 8 8 8 7 8 87 8 9 7 8 9 7 6 86 7 8 7 8 9 7 7 87.4 8 8.8 7 7.8 8.5 6.8 7.4 8.224.2 23.3 22.4Table 2. Experimental data in the three scenes43
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posite event operators such as conj
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objects? If these particles were sm
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Over-the-air-programmingOTAP (Over-
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Randomised Collaborative Transmissi
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Figure 2. Illustration of periodic
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Figure 3. Illustration of the recei
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Experimental Wired Co-operation Arc
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The structure of network is matrix
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Altera Quartus II v7.2SP3 FPGA soft
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Using smart objects as the building
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To the ambient ecology concepts des
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event. A more complicated approach
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Multi-Tracker: Interactive Smart Ob
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interfacing with whole space, but c
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An Augmented Book and Its Applicati
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its withy material. So, the movemen
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Table 1. The Performance of Page Fl
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Ambient Information SystemsWilliam
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We, too, believe there is a certain
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management system and forwarded to
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CONCLUSIONWe have presented the des
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Ambient interface design for a Mobi
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as ‘sensitive’ and filtered awa
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Ambient Life: Interrupted Permanent
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The log files revealed the actual r
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Stay-in-touch: a system for ambient
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Figure 1. The Stay-in-touch display
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User Generated Ambient PresenceGerm
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Figure 3: Cross-platform system tra
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The Invisible Display - Design Stra
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On a more general level Mimikry cre
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Rand in fact few examples of public
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Ambient Displays in Academic Settin
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usefulProfiles 22 (37%)Time and dat
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UTILIZE THE POTENTIAL TO FULLEST: D
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A notification system for a landmin
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As for the investigation phase, whe
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Ubiquitous Sustainability: Citizen
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Live Sustainability: A System for P
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(a) (b) (c)Figure 3. Screenshot for
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Motivating Sustainable BehaviorIan
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dialog with policy makers and servi
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5. Fogg, B. J. (2002). “Persuasiv
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on mode of transportation such as t
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In order to be useful, PET requires
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provides a relevant description and
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Star, L. S., The Ethnography of Inf
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door environment, the accuracy of G
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Figure 5. Variations of “Parasiti
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can view where it has been, who ans
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Nevermind UbiquityJeff BurkeCenter
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innovating within existing capacity
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Since the Brundlandt report a serie
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our current research in mobile gami
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conceive only of human-computer int
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human behaviour will encounter. The
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mental models of the world are test
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alternative, the place that could h
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digital collection of features to a
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forecast the future accesses to tho
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Enhanced and Continuously Connected
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than two application windows execut
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Secure and Dynamic Coordination ofH
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MotivationsMotivations occurred on
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Kray Christian ··········