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Showing content from http://www.teco.edu/~albrecht/publication/huc99/advanced_interaction_context.pdf below:

%PDF-1.2 %âãÏÓ 12 0 obj << /Length 13 0 R >> stream BT 205.08 681.84 TD 0 0 0 rg /F0 14.04 Tf -0.006 Tc -0.064 Tw (Advanced Interaction in Context) Tj -22.68 -35.28 TD /F1 9.96 Tf 0.0149 Tc 0.0151 Tw (Albrecht Schmidt) Tj 70.8 3.96 TD /F2 6 Tf -0.042 Tc 0 Tw (U) Tj 4.44 -3.96 TD /F1 9.96 Tf 0.03 Tc (, ) Tj 5.04 0 TD -0.001 Tc 0.151 Tw (Kofi Asante Aidoo) Tj 76.08 3.96 TD /F2 6 Tf 0.054 Tc 0 Tw (\252) Tj 5.4 -3.96 TD /F1 9.96 Tf 0.0015 Tc 0.0285 Tw (, Antti Takaluoma) Tj 72.96 3.96 TD /F2 6 Tf 0 Tc 0 Tw (i) Tj 4.68 -3.96 TD /F1 9.96 Tf 0.03 Tc (,) Tj -254.88 -11.52 TD 0.0149 Tc -0.1049 Tw (Urpo Tuomela) Tj 58.44 3.96 TD /F2 6 Tf 0 Tc 0 Tw (i) Tj 4.68 -3.96 TD /F1 9.96 Tf 0.03 Tc (, ) Tj 5.04 0 TD 0.0295 Tc 0 Tw (Kristof Van Laerhoven) Tj 92.76 3.96 TD /F2 6 Tf 0.054 Tc 0 Tw (\252) Tj 5.4 -3.96 TD /F1 9.96 Tf 0.0182 Tc 0.0118 Tw (, Walter Van de Velde) Tj 89.76 3.96 TD /F2 6 Tf 0.054 Tc 0 Tw (\252) Tj -195.6 -22.2 TD /F2 5.52 Tf -0.0434 Tc (U) Tj 4.08 -3.48 TD /F1 9 Tf -0.0102 Tc 0 Tw (TecO, University of ) Tj 74.4 0 TD 0.0173 Tc 0.0127 Tw (Karlsruhe, Germany) Tj -71.04 -6.84 TD /F2 5.52 Tf 0.0017 Tc 0 Tw (\252) Tj 4.92 -3.48 TD /F1 9 Tf 0.009 Tc 0.021 Tw (Starlab ) Tj 27.84 0 TD 0.0025 Tc 0.0275 Tw (Nv/Sa, Brussels, Belgium) Tj -38.64 -6.84 TD /F2 5.52 Tf 0.0144 Tc 0 Tw (i) Tj 4.32 -3.48 TD /F1 9 Tf 0.004 Tc -0.014 Tw (Nokia Mobile Phones, ) Tj 83.04 0 TD -0.0095 Tc 0.0395 Tw (Oulu, Finland) Tj -135.84 -13.32 TD -0.0062 Tc 0.0362 Tw (albrecht@teco.edu, kofi@starlab.net, Antti.Takaluoma@nokia.com,) Tj -6.6 -10.44 TD -0.0012 Tc 0.0312 Tw (Urpo.Tuomela@nokia.com, kvlaerho@vub.ac.be, wvdv@starlab.net) Tj -21 -46.32 TD /F0 9 Tf -0.011 Tc 0 Tw (Abstract.) Tj 35.64 0 TD /F1 9 Tf 0.0017 Tc 1.9483 Tw ( Mobile information appliances are increasingly used in numerous) Tj -35.64 -10.32 TD -0.003 Tc 0.9263 Tw (different situations and locations, setting new requirements to their interaction) Tj 0 -10.32 TD 0.0009 Tc 0.7011 Tw (methods. When the user's situation, place or activity changes, the functionality) Tj 0 -10.44 TD -0.0113 Tc 0.5899 Tw (of the device should adapt to these changes. In this work we propose a layered) Tj 0 -10.32 TD 0.0011 Tc 3.2689 Tw (real-time architecture for this kind of context-aware adaptation based on) Tj T* -0.0042 Tc 4.8342 Tw (redundant collections of low-level sensors. Two kinds of sensors are) Tj T* -0.0027 Tc 0.7127 Tw (distinguished: physical and logical sensors, which give cues from environment) Tj 0 -10.44 TD -0.0022 Tc 2.6122 Tw (parameters and host information. A prototype board that consists of eight) Tj 0 -10.32 TD -0.0041 Tc 0.1977 Tw (sensors was built for experimentation. The contexts are derived from cues using) Tj T* -0.0077 Tc 1.4477 Tw (real-time recognition software, which was constructed after experiments with) Tj T* -0.0018 Tc 1.1918 Tw (Kohonen's Self-Organizing Maps and its variants. A personal digital assistant) Tj 0 -10.44 TD -0.0038 Tc 2.7938 Tw ($PDA$ and a mobile phone were used with the prototype to demonstrate) Tj 0 -10.32 TD -0.0015 Tc 2.8086 Tw (situational awareness. On the PDA font size and) Tj 0 Tc 0.03 Tw ( ) Tj 198.72 0 TD -0.0226 Tc 2.9326 Tw (backlight were changed) Tj -198.72 -10.32 TD -0.0047 Tc 0.711 Tw (depending on the demonstrated contexts while in mobile phone the active user) Tj 0 -10.32 TD -0.0035 Tc 3.3607 Tw (profile was changed. The experiments have shown that it is feasible to) Tj 0 -10.44 TD -0.0042 Tc 1.2888 Tw (recognize contexts using sensors and that context information can be used to) Tj 0 -10.32 TD 0 Tc 0.0298 Tw (create new interaction metaphors.) Tj -28.08 -45.24 TD /F0 12 Tf 0 Tc 0 Tw (1) Tj 22.68 0 TD 0.005 Tc (Introduction) Tj -22.68 -25.68 TD /F1 9.96 Tf 0.015 Tc 1.419 Tw (Current research and development in information technology is moving away from) Tj 0 -11.52 TD 0.0154 Tc 2.2679 Tw (desktop based general purpose computers towards more task specific information) Tj T* 0.0111 Tc 3.3389 Tw (appliances. Mobile phones and personal digital assistants $PDAs$ dominate the) Tj 0 -11.4 TD 0.007 Tc 0.2084 Tw (research landscape as their dominance grows commercially. Last year alone there was) Tj 0 -11.52 TD 0.0091 Tc 2.3563 Tw (a 56% increase in the use of mobile phones across Western Europe resulting in) Tj T* 0.0092 Tc 2.3368 Tw (approximately 23 million users of cellular technology. The functionality of these) Tj T* 0.0098 Tc 0.0202 Tw (appliances is the crucial issue.) Tj 11.4 -11.52 TD 0.0089 Tc 1.3611 Tw (Users of these devices are not specialists and don\222t accept long learning phases.) Tj -11.4 -11.52 TD 0.0111 Tc 1.1089 Tw (Nevertheless users like advanced functionality, but it is important that this does not) Tj 0 -11.4 TD 0.0082 Tc 4.0363 Tw (compromise the ease of use for these appliances. An important challenge in) Tj 0 -11.52 TD 0.0076 Tc 1.3624 Tw (competition is to develop new functionality with) Tj 0 Tc -0.09 Tw ( ) Tj 206.16 0 TD /F3 9.96 Tf 0.0404 Tc 1.4296 Tw (added value) Tj 0 Tc 0.03 Tw ( ) Tj 54.24 0 TD /F1 9.96 Tf -0.0061 Tc 1.4761 Tw (for the user and still) Tj -260.4 -11.52 TD 0.0096 Tc 0.0858 Tw (keep the interaction mechanism simple and straightforward. Answers and ideas can be) Tj ET endstream endobj 13 0 obj 5343 endobj 4 0 obj << /Type /Page /Parent 5 0 R /Resources <> /ProcSet 2 0 R >> /Contents 12 0 R >> endobj 17 0 obj << /Length 18 0 R >> stream BT 124.8 685.68 TD 0 0 0 rg /F1 9.96 Tf 0.0081 Tc 2.3619 Tw (found in the inherent nature of mobile electronics. People take their phones and) Tj 0 -11.52 TD 0.0167 Tc 2.1253 Tw (PDA\222s everywhere using them in various environments and situations to perform) Tj T* 0.0083 Tc 3.0436 Tw (different tasks. The user's expectation towards the device also change with the) Tj T* 0.0081 Tc 0.1044 Tw (situation $e.g. the user would like different ring tones for a phone in a meeting than on) Tj 0 -11.4 TD 0.0134 Tc 1.7666 Tw (a noisy road$. Ideally, devices that know about the situational context the devices) Tj 0 -11.52 TD 0.0114 Tc 0.1486 Tw (could transparently adapt to the situation. Such devices lead to the invisible computer) Tj 343.32 0 TD 0.03 Tc 0 Tw (,) Tj -343.32 -11.52 TD 0.0094 Tc -0.0394 Tw (discussed by ) Tj 53.52 0 TD 0.0189 Tc 0.0111 Tw (Weiser ) Tj 30.96 0 TD 0.0517 Tc 0 Tw ([14]) Tj 16.8 0 TD 0.0072 Tc 0.2428 Tw ( and is a step towards the ideal of a disappearing interface as) Tj -101.28 -11.52 TD 0.0141 Tc -0.0241 Tw (demanded by Norman ) Tj 91.32 0 TD 0.0489 Tc 0 Tw ([8]) Tj 11.76 0 TD 0.03 Tc (.) Tj -91.68 -11.52 TD -0 Tc 1.29 Tw (In our work we aim to prove the idea that the more the device knows about the) Tj -11.4 -11.52 TD 0.0097 Tc 0.4703 Tw (user, the task, and the environment the better the support is for the user and the more) Tj 0 -11.4 TD 0.0086 Tc 0.0214 Tw (the interface can become invisible.) Tj 11.4 -11.52 TD 0.0052 Tc 3.8102 Tw (To build devices that have knowledge about their situational context, it is) Tj -11.4 -11.52 TD 0.011 Tc 1.289 Tw (important to gain an understanding of what context is. Current research in context-) Tj 0 -11.52 TD 0.003 Tc 0.3013 Tw (awareness shows a strong focus on location ) Tj 178.92 0 TD 0.0489 Tc 0 Tw ([1]) Tj 11.76 0 TD 0.03 Tc (, ) Tj 5.4 0 TD 0.0489 Tc ([6]) Tj 11.76 0 TD 0.0122 Tc 0.3778 Tw (. An architectural approach, based) Tj -207.84 -11.52 TD 0.0103 Tc 0.7397 Tw (on a smart environment is described by) Tj 0 Tc -0.21 Tw ( ) Tj 164.64 0 TD 0.0035 Tc 0.0265 Tw (Schilit ) Tj 29.28 0 TD 0.013 Tc 0.017 Tw (et. ) Tj 12.96 0 TD (al. ) Tj 12.96 0 TD 0.0517 Tc 0 Tw ([11]) Tj 16.8 0 TD 0.0115 Tc 0.7685 Tw (. Other scenarios are using) Tj -236.64 -11.52 TD 0.0082 Tc 0.8618 Tw (GPS and RF to determine the) Tj 0 Tc 0.03 Tw ( ) Tj 124.92 0 TD 0.0185 Tc 0.8515 Tw (users location) Tj 0 Tc -0.09 Tw ( ) Tj 59.52 0 TD 0.0489 Tc 0 Tw ([3]) Tj 11.76 0 TD 0.03 Tc (, ) Tj 5.88 0 TD -0.0311 Tc ([4]) Tj 11.64 0 TD 0.0063 Tc 0.9357 Tw (. The visual context in wearable) Tj -213.72 -11.4 TD 0.0116 Tc 0.1384 Tw (computing is investigated by ) Tj 118.68 0 TD 0.0051 Tc 0.0249 Tw (Starner ) Tj 31.56 0 TD 0.013 Tc 0.017 Tw (et. ) Tj 12.48 0 TD (al. ) Tj 12.48 0 TD 0.0517 Tc 0 Tw ([13]) Tj 16.8 0 TD 0.0049 Tc 0.3051 Tw (. But, as pointed out in ) Tj 95.4 0 TD 0.0517 Tc 0 Tw ([12]) Tj 16.8 0 TD -0.0095 Tc 0.3995 Tw ( context is) Tj -304.2 -11.52 TD 0.0125 Tc 0.3935 Tw (more than location; this is also recognized in the approach at Georgia Tech to build ) Tj 0.4978 Tc 0 Tw (a) Tj 0 -11.52 TD 0.0073 Tc 0.0227 Tw (context toolkit ) Tj 60.48 0 TD 0.0517 Tc 0 Tw ([10]) Tj 16.8 0 TD 0.03 Tc (.) Tj -65.88 -11.52 TD 0.0059 Tc 2.3041 Tw (We use the term) Tj 0 Tc -0.09 Tw ( ) Tj 76.8 0 TD /F3 9.96 Tf 0.0222 Tc 0 Tw (context) Tj 28.92 0 TD /F1 9.96 Tf 0.0017 Tc 2.415 Tw ( in a more general way to describe the environment,) Tj -117.12 -11.52 TD 0.0065 Tc 0.4135 Tw (situation, state, surroundings, task, etc) Tj 154.08 0 TD 0.0139 Tc 0.4694 Tw (.. To provide a view on what we understand by) Tj -154.08 -11.4 TD 0.0046 Tc 2.0254 Tw (the term context we like to provide a definition from the dictionary as well as ) Tj 2.0578 Tc 0 Tw (a) Tj 0 -11.52 TD 0.0111 Tc 0.0189 Tw (number of synonyms that can be found in a thesaurus:) Tj 18 -17.52 TD /F4 9.96 Tf 0.0256 Tc 0 Tw (Context) Tj 32.16 0 TD /F3 9.96 Tf 0.0164 Tc 3.3627 Tw ( n 1: discourse that surrounds a language unit and helps to) Tj -32.16 -11.52 TD 0.0115 Tc 1.2185 Tw (determine its interpretation ) Tj 1.2856 Tc 0 Tw ([) Tj 120 0 TD 0.0165 Tc 1.2821 Tw (syn: linguistic context, context of use] 2: the) Tj -120 -11.52 TD 0.017 Tc 2.9803 Tw (set of facts or circumstances that surround a situation or event; "the) Tj 0 -11.52 TD 0.0214 Tc 0.0686 Tw (historical context" ) Tj 76.56 0 TD /F3 8.04 Tf -0.0252 Tc -0.0648 Tw ($Source: ) Tj 29.52 0 TD 0.0008 Tc -0.0908 Tw (WordNet \256 1.6$) Tj -106.08 -20.64 TD /F4 9.96 Tf 0.0256 Tc 0 Tw (Context) Tj 32.16 0 TD /F3 9.96 Tf 0.0166 Tc 2.5868 Tw (: That which surrounds, and gives meaning to, something else.) Tj -32.16 -9.72 TD /F3 8.04 Tf -0.0134 Tc 0.0034 Tw ($Source: The Free On-line Dictionary of Computing$) Tj 0 -20.16 TD /F4 9.96 Tf 0.0176 Tc 4.0924 Tw (Synonyms Context:) Tj 84.36 0 TD /F3 9.96 Tf 0.0168 Tc 4.0932 Tw ( Circumstance, situation, phase, position, posture,) Tj -84.36 -11.52 TD 0.0155 Tc 2.0695 Tw (attitude, place, point; terms; regime; footing, standing, status, occasion,) Tj 0 -11.52 TD 0.0174 Tc 0.0126 Tw (surroundings, environment, location, dependence. ) Tj 203.4 0 TD /F3 8.04 Tf -0.0219 Tc 0.0519 Tw ($Source: www.thesaurus.com$) Tj -209.88 -17.52 TD /F1 9.96 Tf 0.0044 Tc 0.3856 Tw (As it can be seen from above context is used with a number of different meanings.) Tj -11.52 -11.52 TD 0.0136 Tc 2.0564 Tw (In our research project Technology for Enabled Awareness $TEA,) Tj 0 Tc 0.03 Tw ( ) Tj 285 0 TD 0.0489 Tc 0 Tw ([5]) Tj 11.76 0 TD -0.0245 Tc 2.2145 Tw ($ we define) Tj -296.76 -11.4 TD /F3 9.96 Tf 0.0155 Tc 1.6399 Tw (Context awareness as knowledge about the user\222s and IT device\222s state, including) Tj 0 -11.52 TD 0.0172 Tc 0.3128 Tw (surroundings, situation, and, to a lesser extent, location. ) Tj 231.6 0 TD /F1 9.96 Tf 0.0009 Tc 0.4791 Tw (To describe contexts we use) Tj -231.6 -11.52 TD 0.0101 Tc 1.2333 Tw (a three-dimensional space as depicted in fig. 1, with dimensions) Tj 0 Tc -0.09 Tw ( ) Tj 270.24 0 TD /F3 9.96 Tf 0.0351 Tc 0 Tw (Environment) Tj 51.72 0 TD /F1 9.96 Tf 0.03 Tc (, ) Tj 6.36 0 TD /F3 9.96 Tf 0.015 Tc (Self) Tj 15 0 TD /F1 9.96 Tf 0.03 Tc (,) Tj -343.32 -11.52 TD 0.0059 Tc 0.0241 Tw (and ) Tj 16.92 0 TD /F3 9.96 Tf 0.0065 Tc 0 Tw (Activity) Tj 30.48 0 TD /F1 9.96 Tf 0.03 Tc (.) Tj -36 -11.52 TD 0.0068 Tc 1.6518 Tw (Context has many aspects and in the work presented in this paper we focus on) Tj -11.4 -11.4 TD 0.0118 Tc 0.6728 Tw (physical parameters and information provided by the appliance $e.g. PDA, or mobile) Tj 0 -11.52 TD 0.0111 Tc 0.1389 Tw (phone$. To acquire physical parameters we use low-cost and widely available sensors.) Tj T* 0.0103 Tc 3.3677 Tw (With this information we determine the user's current situational context. This) Tj T* 0.0118 Tc 0.1282 Tw (approach seems complementary to the idea of smart environments as proposed by ) Tj 331.56 0 TD 0.0489 Tc 0 Tw ([9]) Tj 11.76 0 TD 0.03 Tc (.) Tj -343.32 -11.52 TD 0.0032 Tc 1.5977 Tw (With the new generation of mobile devices having increased processing power we) Tj 0 -11.52 TD 0.0082 Tc 2.9618 Tw (focus on making the devices smarter, giving them the ability to recognize and) Tj ET endstream endobj 18 0 obj 7446 endobj 16 0 obj << /Type /Page /Parent 5 0 R /Resources <> /ProcSet 2 0 R >> /Contents 17 0 R >> endobj 22 0 obj << /Length 23 0 R >> stream BT 124.8 685.68 TD 0 0 0 rg /F1 9.96 Tf 0.0108 Tc 4.0392 Tw (interpret their environment.) Tj 0 -11.52 TD 0.0045 Tc 1.7055 Tw (However, smart devices and) Tj T* 0.0172 Tc 3.0528 Tw (smart environments are not) Tj T* 0.006 Tc 1.494 Tw (mutually exclusive, and it is) Tj 0 -11.4 TD 0.0071 Tc 7.7929 Tw (easy to imagine that ) Tj 7.8178 Tc 0 Tw (a) Tj 0 -11.52 TD 0.0146 Tc 0.0154 Tw (combination can be used.) Tj 11.4 -11.52 TD 0.015 Tc 4.035 Tw (After briefly introducing) Tj -11.4 -11.52 TD 0.006 Tc 3.204 Tw (the concept of context and) Tj 0 -11.52 TD -0.0023 Tc 8.3123 Tw (situational awareness, we) Tj T* 0.0209 Tc 0.0091 Tw (propose ) Tj 37.8 0 TD 0.0078 Tc 3.6222 Tw (an architecture for) Tj -37.8 -11.4 TD 0.0096 Tc 10.1004 Tw (context recognition. The) Tj 0 -11.52 TD 0.0159 Tc 2.6941 Tw (architecture is composed of) Tj T* 0.008 Tc 3.462 Tw (four layers, namely sensor,) Tj T* 0.004 Tc 3.546 Tw (cue, context, and scripting.) Tj T* 0.0053 Tc 2.9767 Tw (In section 3 we describe ) Tj 3.0178 Tc 0 Tw (a) Tj T* 0.0221 Tc 4.6879 Tw (prototypical implementation) Tj 0 -11.4 TD 0.0113 Tc 3.6187 Tw (that performs the complete) Tj 0 -11.52 TD 0.0173 Tc 1.6818 Tw (mapping from the real environment to awareness enabled applications on a GSM-) Tj T* 0.0102 Tc 1.5891 Tw (phone and on a personal digital assistant $PDA$. This proves the feasibility of the) Tj T* 0.0068 Tc 3.6352 Tw (approach described here. Finally we summarize our results and discuss future) Tj T* -0.0027 Tc 0.0727 Tw (directions of our work.) Tj 0 -39.6 TD /F0 12 Tf 0 Tc 0 Tw (2) Tj 6 0 TD /F5 12 Tf 0.024 Tw ( ) Tj 16.8 0 TD /F0 12 Tf -0.012 Tc 0 Tw (Architecture) Tj -22.8 -25.68 TD /F1 9.96 Tf 0.0032 Tc 0.2154 Tw (To build a flexible and yet efficient system we introduce a layered architecture for the) Tj 0 -11.52 TD 0.0082 Tc 1.2518 Tw (TEA-system. As depicted in fig. 2, the architecture consists of four layers, sensors,) Tj 0 -11.4 TD 0.0098 Tc 1.0817 Tw (cues, contexts, and an application layer. In later development phases the part of the) Tj 0 -11.52 TD 0.008 Tc 2.302 Tw (architecture that is implemented in hardware will move up, whereas in the early) Tj T* 0.0039 Tc 0.0479 Tw (phases as much as possible is implemented in software to enhance flexibility.) Tj 0 -33.72 TD /F0 9.96 Tf 0.05 Tc 0 Tw (2.1) Tj 25.56 0 TD -0.0013 Tc (Sensors) Tj -25.56 -22.32 TD /F1 9.96 Tf 0.014 Tc 0.676 Tw (We distinguish between physical and logical sensors.) Tj 0 Tc 0.03 Tw ( ) Tj 220.2 0 TD /F3 9.96 Tf 0.0092 Tc 0.7408 Tw (Physical sensors) Tj 67.56 0 TD /F1 9.96 Tf 0.0128 Tc 0.7372 Tw ( are electronic) Tj -287.76 -11.52 TD 0.0088 Tc 3.0079 Tw (hardware components that measure physical parameters in the environment. All) Tj 0 -11.4 TD 0.0128 Tc 0.6772 Tw (information gathered from the host $e.g. current time, GSM cell, etc.$ are considered) Tj 0 -11.52 TD -0.0083 Tc -0.0817 Tw (as ) Tj 10.8 0 TD /F3 9.96 Tf 0.0122 Tc 0.0178 Tw (logical sensors) Tj 60.24 0 TD /F1 9.96 Tf 0.03 Tc 0 Tw (.) Tj -59.64 -11.52 TD 0.0122 Tc 0.0178 Tw (Each sensor ) Tj 50.52 0 TD /F3 9.96 Tf 0.06 Tc 0 Tw (S) Tj 5.04 -1.56 TD /F3 6.48 Tf -0.0014 Tc (i) Tj 1.8 1.56 TD /F1 9.96 Tf 0.0073 Tc 0.0427 Tw ( is regarded as a time dependent function that returns a scalar, vector,) Tj -68.76 -11.52 TD 0.0065 Tc 1.1035 Tw (or a symbolic value ) Tj 1.1233 Tc 0 Tw ($) Tj 88.68 0 TD /F3 9.96 Tf 0.0344 Tc (X) Tj 6.12 0 TD /F1 9.96 Tf 0.0111 Tc 1.1317 Tw ($. A set $finite or infinite$ of possible values $domain D$ for) Tj -94.8 -11.52 TD 0.0111 Tc 0.0189 Tw (each sensor is defined.) 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In our approach we offer the) Tj 0 -11.52 TD 0.0089 Tc 0.0211 Tw (following scripting primitives) Tj 119.4 3 TD /F1 6 Tf 0 Tc 0 Tw (1) Tj 3 -3 TD /F1 9.96 Tf -0.0089 Tc (:) Tj -111 -23.04 TD 0.0061 Tc 0.0239 Tw (Entering a context:) Tj 0.12 -10.08 TD /F7 9 Tf 0 Tc 0 Tw (// ) Tj 16.2 0 TD (if the context is: T=h={$) Tj 135 0 TD (v,p$}) Tj -151.2 -10.2 TD (// if the situation v is indicated with a certainty of) Tj 0 -10.2 TD (// p or higher than p the action$) Tj 178.2 0 TD (i$ is performed after) Tj -178.2 -10.08 TD (// n milliseconds, v is a situation, p is a number,) Tj 0 -9.96 TD /F8 9 Tf (if enter$v, p, n$ then perform action$) Tj 205.2 0 TD (i$) Tj -205.32 -17.64 TD /F1 9.96 Tf 0.0055 Tc 0.0245 Tw (Leaving a context:) Tj 0 -10.08 TD /F7 9 Tf 0 Tc 0 Tw (// ) Tj 16.2 0 TD (if the context is: T=h={$) Tj 135 0 TD (v,p$}) Tj -151.2 -10.2 TD (// if the situation v is indicated with a certainty) Tj 0 -10.2 TD (// below p the action$) Tj 118.8 0 TD (i$ is performed after n) Tj -118.8 -10.2 TD (// milliseconds, v is a situation, p is a number,) Tj 0 -9.96 TD /F8 9 Tf (if leave$v, p, n$ then perform action$) Tj 205.2 0 TD (i$) Tj -205.2 -23.4 TD /F1 9.96 Tf 0.0022 Tc 0.0278 Tw (While in a context:) Tj 0 -10.08 TD /F7 9 Tf 0 Tc 0 Tw (// ) Tj 16.2 0 TD (if the context is: T=h={$) Tj 135 0 TD (v,p$}) Tj -151.2 -10.2 TD (// if the situation v is indicated with a certainty of) Tj 0 -10.2 TD (// p or higher than p the action$) Tj 178.2 0 TD (i$ is performed every) Tj -178.2 -10.08 TD (// m milliseconds, v is a situation, p is a number,) Tj 0 -9.96 TD /F8 9 Tf (if in$v, p, m$ then perform action$) Tj 189 0 TD (i$) Tj -200.4 -21.12 TD /F1 9.96 Tf 0.0123 Tc 1.8504 Tw (Beyond the defined scripting primitives the application programmer is free to use) Tj 0 -11.52 TD 0.0105 Tc 2.2295 Tw (context knowledge in any part of the applications where it seems appropriate. ) Tj 2.2889 Tc 0 Tw (A) Tj T* 0.0127 Tc -0.0027 Tw (different approach is described by Brown ) Tj 168.24 0 TD 0.013 Tc 0.017 Tw (et. ) Tj 12.24 0 TD 0.0044 Tc 0.0256 Tw (al ) Tj 9.72 0 TD 0.0489 Tc 0 Tw ([2]) Tj 11.76 0 TD 0.03 Tc (.) Tj -201.96 -39.6 TD /F0 12 Tf 0 Tc (3) Tj 22.68 0 TD -0.0015 Tc 0.0015 Tw (Feasibility Demonstration) Tj -22.68 -25.68 TD /F1 9.96 Tf 0.0093 Tc 2.3247 Tw (The demonstrator described in this section was implemented to prove feasibility,) Tj 0 -11.52 TD 0.0052 Tc 1.4648 Tw (gaining contextual knowledge using low level sensors. A main requirement for the) Tj 0 -11.4 TD 0.0061 Tc 1.7139 Tw (prototype was flexibility to enable experiments with different sensors as well as ) Tj 1.6978 Tc 0 Tw (a) Tj 0 -11.52 TD 0.0072 Tc 0.0228 Tw (variety of recognition technologies.) Tj 11.4 -11.52 TD 0.0084 Tc 0.7416 Tw (The prototypical system was used in two phases. In the first phase data in several) Tj -11.4 -11.52 TD 0.0091 Tc 0.2309 Tw (situational contexts were collected and than analyzed off-line. In the second phase the) Tj 0 -11.52 TD 0.0079 Tc 0.0421 Tw (prototype was used for real-time context recognition.) Tj 0 -33.6 TD /F0 9.96 Tf 0.05 Tc 0 Tw (3.1) Tj 25.56 0 TD 0.0419 Tc (Hardware) Tj -25.56 -22.32 TD /F1 9.96 Tf 0.0043 Tc 1.0411 Tw (The individual sensors have been chosen to mimic typical human senses, as well as) Tj 0 -11.52 TD 0.0079 Tc 0.0498 Tw (more subtle environmental parameters. An outline of the schematic is given in fig. 3.) Tj 0 -18.6 TD 0 Tc 0.03 Tw ( ) Tj 75.6 0 TD ( ) Tj ET 124.8 195.96 144 0.48 re f BT 124.8 185.76 TD /F1 6 Tf 0 Tw (1) Tj 3 -3 TD /F1 9 Tf -0.0058 Tc 0.9958 Tw ( The parameter n indicating the time after that an action is performed is often 0 $immediate) Tj 5.52 -11.04 TD 0 Tc 0.6193 Tw (context action coupling$ or positive. In certain circumstances, when future situations can be) Tj 0 -11.04 TD -0.0017 Tc 1.0774 Tw (predicted $e.g. you drive your into the garage, the context 'walking' should appear soon$ ) Tj 1.164 Tc 0 Tw (a) Tj 0 -10.92 TD -0.0011 Tc 0.0311 Tw (negative value does make sense, too.) Tj ET endstream endobj 51 0 obj 4328 endobj 45 0 obj << /Type /Page /Parent 5 0 R /Resources <> /ProcSet 2 0 R >> /Contents 50 0 R >> endobj 55 0 obj << /Length 56 0 R >> stream BT 124.8 675.72 TD 0 0 0 rg /F6 9.96 Tf -0.0216 Tc 0 Tw (\267) Tj 4.56 0 TD /F9 9.96 Tf 0 Tc -0.0089 Tw ( ) Tj 6.84 0 TD /F1 9.96 Tf 0.0065 Tc 0.7535 Tw (The photodiode yields both a nominal light level $as experienced by humans$ and) Tj 0 -11.52 TD 0.0101 Tc 0.6114 Tw (any oscillations from artificial sources $not a human sense$. It is sampled at a rate) Tj 0 -11.4 TD 0.0075 Tc 0.5025 Tw (of approximately once per millisecond, but only for a few hundred milliseconds at) Tj 0 -11.52 TD 0.0064 Tc 0.0236 Tw (a time, allowing other signals to be multiplexed in.) Tj -11.4 -12.24 TD /F6 9.96 Tf -0.0216 Tc 0 Tw (\267) Tj 4.56 0 TD /F9 9.96 Tf 0 Tc -0.0089 Tw ( ) Tj 6.84 0 TD /F1 9.96 Tf 0.0067 Tc 0.7214 Tw (The two accelerometers provide tilt and vibration measurements in two axes. Due) Tj 0 -11.52 TD 0.0086 Tc 1.0071 Tw (to the limited sampling power of the current board, the signal is filtered down to) Tj T* 0.0056 Tc 0.0329 Tw (200 Hz, though the sensors are able to supply up to 1 kHz of signal.) Tj -11.4 -12.24 TD /F6 9.96 Tf -0.0216 Tc 0 Tw (\267) Tj 4.56 0 TD /F9 9.96 Tf 0 Tc -0.0089 Tw ( ) Tj 6.84 0 TD /F1 9.96 Tf 0.0105 Tc 1.5468 Tw (The passive IR sensor detects the proximity of humans or other heat-generating) Tj 0 -11.4 TD 0.0107 Tc 0.6893 Tw (objects. The sensor provides a signal corresponding to the amount of IR received,) Tj 0 -11.52 TD 0.0085 Tc 1.0276 Tw (possibly filtered for sensitivity to the human IR signal. This sensor is sampled at) Tj T* 0.0107 Tc 0.0193 Tw (the same rate as the photodiodes.) Tj -11.4 -12.24 TD /F6 9.96 Tf -0.0216 Tc 0 Tw (\267) Tj 4.56 0 TD /F9 9.96 Tf 0 Tc -0.0089 Tw ( ) Tj 6.84 0 TD /F1 9.96 Tf 0.0174 Tc 0.3617 Tw (The temperature and pressure sensors each provide a conditioned signal between 0) Tj 0 -11.52 TD 0.0112 Tc 0.5819 Tw (and +5 volts directly, and need no amplification. These sensors are sampled a few) Tj 0 -11.4 TD 0.0097 Tc 0.0203 Tw (times a second.) Tj -11.4 -12.24 TD /F6 9.96 Tf -0.0216 Tc 0 Tw (\267) Tj 4.56 0 TD /F9 9.96 Tf 0 Tc -0.0089 Tw ( ) Tj 6.84 0 TD /F1 9.96 Tf 0.0064 Tc 1.8836 Tw (Sampled at the same rate as the temperature and pressure sensors is a CO gas) Tj 0 -11.52 TD 0.0158 Tc 0.0022 Tw (sensor. The PIC controls the heating and reading of this sensor.) Tj -11.4 -12.24 TD /F6 9.96 Tf -0.0216 Tc 0 Tw (\267) Tj 4.56 0 TD /F9 9.96 Tf 0 Tc -0.0089 Tw ( ) Tj 6.84 0 TD /F1 9.96 Tf 0.0073 Tc 0.1227 Tw (For sound, there is an omni-directional microphone that is directly connected to the) Tj 0 -11.52 TD 0.0101 Tc 0 Tw (computer.) Tj -11.4 -20.64 TD 0.0115 Tc 0.416 Tw (Each of the sensors provides an analog signal between 0 and 5 volts which is read by) Tj 0 -11.52 TD 0.0103 Tc 0.7673 Tw (the 8 bit, 8 channel analog-to-digital converter. The signals to the A/D converter are) Tj T* 0.0118 Tc 1.8382 Tw (routed through switches that allow for off-board sensors also to be sampled. This) Tj T* 0.0079 Tc 0.5121 Tw (makes the board expandable and gives the flexibility for testing new combinations of) Tj T* -0.0015 Tc 0 Tw (sensors.) Tj 11.4 -11.4 TD 0.0069 Tc 0.1431 Tw (Our first module needed to have flexibility, both in the sensors to be included on it,) Tj -11.4 -11.52 TD 0.0137 Tc 0.3263 Tw (and the processing to be performed on the data collected. The architecture developed,) Tj 0 -11.52 TD 0.0086 Tc 0.2934 Tw (whether for the first prototype or the final design, would have to follow a set protocol) Tj T* 0.0144 Tc 0.5256 Tw (of development and communication that will become the standard for the duration of) Tj T* 0.0132 Tc 0.1668 Tw (the project. Being a project based on sensor information the hardware architecture has) Tj 0 -11.4 TD 0.0122 Tc 0.4332 Tw (to follow the basic principles of sensor based systems. The sensor information is sent) Tj 0 -11.52 TD 0.0066 Tc 0.3491 Tw (as a signal to an input function. The input function prepares the signal for processing.) Tj T* 0.0075 Tc 3.5865 Tw (The processing and amplification block translates the signals according to the) Tj T* 0.0084 Tc 0.0316 Tw (individual sensor need and also to have uniform output signals for all sensors.) Tj 11.4 -11.52 TD 0.0054 Tc 1.1785 Tw (The processed signal then goes to an output function, which primes it for output) Tj -11.4 -11.52 TD 0.0087 Tc 4.9653 Tw (reading or display. More accurately, the sensors measure conditions in the) Tj 0 -11.4 TD 0.0064 Tc 1.4136 Tw (environment and translate them into analog voltage signals on a fixed scale. These) Tj 0 -11.52 TD 0.0115 Tc 0.4285 Tw (analog signals are then converted to digital signals and passed to the micro-controller) Tj T* 0.0121 Tc 0.3059 Tw ($PIC$. The micro-controller oversees the timing of the analog-to-digital converter and) Tj T* 0.0068 Tc 0.3132 Tw (the sensors as well as manipulating the data from the analog-to-digital converter's bus) Tj T* 0.0083 Tc 2.8517 Tw (to the RS-232 serial line. Finally, the serial line connects to the data-gathering) Tj T* 0.0136 Tc 0 Tw (computer$Host$.) Tj 11.4 -11.4 TD 0.011 Tc 1.259 Tw (The PIC acts as the brains of the board and executes a loop, polling the sensors) Tj -11.4 -11.52 TD 0.0122 Tc 1.1197 Tw (through the analog-to-digital converter, and moving the data onto the RS-232 serial) Tj 0 -11.52 TD 0.0154 Tc 1.7906 Tw (line. Higher bandwidth signals like the accelerometers and photodiodes are polled) Tj T* 0.0068 Tc 1.5732 Tw (often, on the order of every millisecond, while slower signals like temperature are) Tj T* 0.005 Tc 0.025 Tw (only polled once a second) Tj ET endstream endobj 56 0 obj 5682 endobj 52 0 obj << /Type /Page /Parent 5 0 R /Resources <> /ProcSet 2 0 R >> /Contents 55 0 R >> endobj 59 0 obj << /Length 60 0 R >> stream BT 124.8 456.84 TD 0 0 0 rg /F1 9.96 Tf 0.0064 Tc 1.2736 Tw (Another requirement of the system is mobility. In order to simulate mobile devices) Tj 0 -11.52 TD 0.0092 Tc 0.218 Tw (the board also has to meet certain size constraints. The board is the standard ) Tj 309.12 0 TD 0.0271 Tc 0 Tw (Eurocard) Tj -309.12 -11.4 TD 0.0076 Tc 1.3001 Tw (PCB size of 100mmx170 mm. At that size the board is less than half the size of ) Tj 1.3378 Tc 0 Tw (a) Tj 0 -11.52 TD 0.01 Tc 1.82 Tw (laptop. This allows for ease of movement when it comes to experimentation. The) Tj T* 0.0106 Tc 1.4165 Tw (board can easily be connected, via serial cable, to a laptop for data gathering. The) Tj T* 0.0104 Tc 1.7088 Tw (second phase of the project will produce an even more portable board with direct) Tj T* 0.0077 Tc 0.0223 Tw (connection to the device.) Tj 0 -33.72 TD /F0 9.96 Tf 0.05 Tc 0 Tw (3.2) Tj 25.56 0 TD 0.018 Tc 0.012 Tw (Off-line Data Analysis) Tj -25.56 -22.2 TD /F1 9.96 Tf 0.0118 Tc 0.932 Tw (As described before, the TEA sensor board sends periodically a large block of data,) Tj 0 -11.52 TD 0.0108 Tc 1.6792 Tw (represent the digitized sensor outputs, through its serial port. In the experiments ) Tj 1.6978 Tc 0 Tw (a) Tj T* 0.006 Tc 1.2332 Tw (portable computer is connected to this port, which makes it possible to receive and) Tj T* 0.0062 Tc 0.0565 Tw (store the data. A piece of software was written for this purpose.) Tj 11.4 -11.52 TD 0.0078 Tc 0.2772 Tw (After this TEA reader software has made a ) Tj 176.04 0 TD 0.0091 Tc 0.2009 Tw (datafile, the ) Tj 50.4 0 TD 0.0051 Tc 0.3849 Tw (datafile can be analyzed to) Tj -237.84 -11.52 TD 0.007 Tc 0.3305 Tw (predict how a learning system could map the raw data to a context. One of the easiest) Tj 0 -11.4 TD 0.0092 Tc 0.4333 Tw (and fastest methods to obtain this is by plotting the output of all sensors directly on ) Tj 0.4978 Tc 0 Tw (a) Tj 0 -11.52 TD 0.0104 Tc 0.0196 Tw (time scale in parallel $see fig. 4a$.) Tj 11.4 -11.52 TD 0.0093 Tc 0.7407 Tw (This time series plot only shows the sensor values of the acceleration sensors and) Tj -11.4 -11.52 TD 0.0104 Tc 0.2965 Tw (the light sensor in three different contexts. Initially, the TEA sensor board was placed) Tj 0 -11.52 TD 0.0117 Tc 0.1863 Tw (on a table and remained there for about 100 seconds. After this period, the device was) Tj T* 0.007 Tc 1.063 Tw (taken along and stayed in the hands of its user for another 100 seconds. Finally the) Tj 0 -11.4 TD 0.0029 Tc 0.0599 Tw (TEA board was put in a suitcase for yet another 100 seconds.) Tj 11.4 -11.52 TD 0.0122 Tc 0.8778 Tw (The interesting thing about this plot is that the different contexts are immediately) Tj -11.4 -11.52 TD 0.0094 Tc 0.9588 Tw (visible, while other types of plots experience problems with the high dimensionality) Tj 0 -11.52 TD 0.0075 Tc 0.0789 Tw (of the data and are less clear. 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Profiles offer a direct and easy way to define these situations and the) Tj T* 0.0092 Tc 0.0608 Tw (corresponding behaviors $what we have called scripts$.) Tj 11.4 -11.4 TD 0.0081 Tc 0.3647 Tw (Contexts, as described in this paper, can be thought of much similar to the Profiles) Tj -11.4 -11.52 TD 0 Tc -0.09 Tw (on ) Tj 14.28 0 TD 0.017 Tc 1.8458 Tw (Nokia phones. Profiles are currently hand selected from a menu. However, by) Tj -14.28 -11.52 TD 0.011 Tc 1.699 Tw (using a device that is context sensitive and connecting that to a) Tj 0 Tc 0.03 Tw ( ) Tj 273.96 0 TD 0.001 Tc 1.709 Tw (Nokia phone, the) Tj -273.96 -11.52 TD 0.0143 Tc 0.1449 Tw (Profile $or Context$ change can be automated. Automatic Profiles are one new type of) Tj 0 -11.52 TD 0.0085 Tc 0.0215 Tw (applications that context sensitivity introduces.) Tj 0 -22.92 TD 0.0088 Tc 0.0332 Tw (For the experiment the following Profiles were defined on the Phone:) Tj 0 -21.48 TD /F6 9.96 Tf -0.0216 Tc 0 Tw (\267) Tj 4.56 0 TD /F9 9.96 Tf 0 Tc -0.0089 Tw ( ) Tj 6.84 0 TD /F0 9.96 Tf 0.0189 Tc 0 Tw (Hand) Tj 23.88 0 TD /F1 9.96 Tf 0.0028 Tc 2.1015 Tw (. When the user holds the phone in her/his hand, the audio alarm is not) Tj -23.88 -11.52 TD 0.0031 Tc 0.0509 Tw (needed. The phone rings by vibrating.) Tj -11.4 -12.12 TD /F6 9.96 Tf -0.0216 Tc 0 Tw (\267) Tj 4.56 0 TD /F9 9.96 Tf 0 Tc -0.0089 Tw ( ) Tj 6.84 0 TD /F0 9.96 Tf 0.0016 Tc 0 Tw (Table) Tj 24.36 0 TD /F1 9.96 Tf 0.0068 Tc 0.6932 Tw (. Here we assume a meeting situation. The phone is almost silent. Incoming) Tj -24.36 -11.52 TD 0.008 Tc 0.0391 Tw (call is indicated by a very gentle sound.) Tj -11.4 -12.24 TD /F6 9.96 Tf -0.0216 Tc 0 Tw (\267) Tj 4.56 0 TD /F9 9.96 Tf 0 Tc -0.0089 Tw ( ) Tj 6.84 0 TD /F0 9.96 Tf 0.0179 Tc 0.9721 Tw (Silent $pager$) Tj 59.04 0 TD /F1 9.96 Tf -0.0013 Tc 1.0473 Tw (. Phone is silent. Here we assume that the phone is put a way in ) Tj 1.0978 Tc 0 Tw (a) Tj -59.04 -11.52 TD 0.0047 Tc 2.1768 Tw (box or suitcase, and must be silent. The phone still receives calls, so that the) Tj 0 -11.52 TD 0.0109 Tc 0.0431 Tw (callers' numbers can be recalled later.) Tj -11.4 -12.24 TD /F6 9.96 Tf -0.0216 Tc 0 Tw (\267) Tj 4.56 0 TD /F9 9.96 Tf 0 Tc -0.0089 Tw ( ) Tj 6.84 0 TD /F0 9.96 Tf 0.0048 Tc 0 Tw (Outside) Tj 33.24 0 TD /F1 9.96 Tf 0.0115 Tc 0.5345 Tw (. Here the ring volume goes as high as possible and) Tj 0 Tc 0.03 Tw ( ) Tj 213.48 0 TD 0.0039 Tc 0.6661 Tw (vibra-alarm is on. All) Tj -246.72 -11.4 TD 0.0047 Tc 0.0553 Tw (possible ways to get the users attention are used.) 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Tj 9 0 TD /F5 12 Tf 0.024 Tw ( ) Tj 13.8 0 TD /F0 12 Tf -0.0095 Tc 0.0095 Tw (Conclusion and Further Work) Tj -22.8 -25.68 TD /F1 9.96 Tf 0.0104 Tc 0.3196 Tw (We proposed a layered architecture for a context-aware system based on sensors. The) Tj 0 -11.52 TD 0.0091 Tc 0.8827 Tw (concepts of cue, context, and scripting are introduced. Implementing a prototype we) Tj T* 0.0082 Tc 0.8218 Tw (demonstrated that it is feasible to recognize contexts with low-level sensors and that) Tj T* 0.0081 Tc 3.611 Tw (this information can be used to create new interaction metaphors. Taking the) Tj 0 -11.4 TD 0.0079 Tc 0.5741 Tw (examples of a mobile phone and PDA, we showed that applications) Tj 0 Tc -0.09 Tw ( ) Tj 278.52 0 TD 0.0188 Tc 0.6112 Tw (can be enhanced) Tj -278.52 -11.52 TD 0.0048 Tc 0.0252 Tw (by context recognition.) 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Tj -11.4 -11.52 TD 0.0095 Tc 1.2891 Tw (This will give the user the ability to induce appliances to learn individual and user) Tj 0 -11.52 TD -0 Tc 0.0306 Tw (specific situations.) Tj 11.4 -11.4 TD 0.0106 Tc -0.0286 Tw (Sensing User contexts $e.g. by ) Tj 124.08 0 TD 0.0085 Tc 0.0965 Tw (bio sensors$ will open doors for applications that are) Tj -135.48 -11.52 TD 0.0117 Tc 0.6091 Tw (trying to guess user purposes. These applications may either help the user or provide) Tj 0 -11.52 TD 0.0072 Tc 0.0228 Tw (additional information.) 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Many thanks to all partners in the project namely) Tj 0 Tc -0.21 Tw ( ) Tj 288.12 0 TD 0.0319 Tc -0.0019 Tw (Starlab ) Tj 32.76 0 TD 0.036 Tc 0 Tw (Nv/Sa) Tj -320.88 -11.52 TD 0.0124 Tc 0.0176 Tw ($Belgium$, ) Tj 46.2 0 TD 0.0211 Tc 0.1739 Tw (Nokia Mobile Phones $Finland$, TecO $Germany$, and Omega Generation) Tj -46.2 -11.52 TD -0.0025 Tc 0 Tw ($Italy$.) Tj 0 -39.6 TD /F0 12 Tf -0.0168 Tc (References) Tj 0 -24.96 TD /F1 9 Tf 0.062 Tc ([1]) Tj 10.8 0 TD /F9 9 Tf 0 Tc 0.018 Tw ( ) Tj 7.2 0 TD /F1 9 Tf -0.0013 Tc 0.7813 Tw (Beadle, P., Harper, B., Maguire, G.Q. and Judge, J. Location Aware Mobile Computing.) Tj -18 -10.32 TD 0.0012 Tc 0.0048 Tw (Proc. of IEEE Intl. Conference on Telecommunications, Melbourne, Australia, April 1997.) Tj 0 -10.32 TD 0.062 Tc 0 Tw ([2]) Tj 10.8 0 TD /F9 9 Tf 0 Tc 0.018 Tw ( ) Tj 7.2 0 TD /F1 9 Tf -0.004 Tc 0.2278 Tw (Brown, P. J., Bovey, J. D., Chen, X. 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Tj -131.28 -10.44 TD 0.062 Tc 0 Tw ([5]) Tj 10.8 0 TD /F9 9 Tf 0 Tc 0.018 Tw ( ) Tj 7.2 0 TD /F1 9 Tf -0.0053 Tc 2.2296 Tw (Esprit Project 26900. Technology for enabling Awareness $TEA$.) Tj 0 Tc 0.03 Tw ( ) Tj 257.04 0 TD 0.0033 Tc 0 Tw (www.omega.it/tea/,) Tj -275.04 -10.32 TD 0 Tc (1998) Tj 0 -10.32 TD 0.062 Tc ([6]) Tj 10.8 0 TD /F9 9 Tf 0 Tc 0.018 Tw ( ) Tj 7.2 0 TD /F1 9 Tf -0.0017 Tc 0.8717 Tw (Leonhard, U., Magee, J.,) Tj 0 Tc 0.03 Tw ( ) Tj 94.92 0 TD -0.0032 Tc 0.8732 Tw (Dias, P. Location Service in Mobile Computing Environments.) Tj -112.92 -10.32 TD -0 Tc 4.417 Tw (Computer & Graphics. Special Issue on Mobile Computing. Volume 20,) Tj 0 Tc 0.03 Tw ( ) Tj 307.44 0 TD -0.009 Tc 4.479 Tw (Numer 5,) Tj -307.44 -10.44 TD 0.0057 Tc 0.0243 Tw (September/October 1196.) 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Tj 0 -10.32 TD 0.0615 Tc 0 Tw ([10]) Tj 15.36 0 TD /F9 9 Tf 0 Tc 0.018 Tw ( ) Tj 2.64 0 TD /F1 9 Tf 0.0117 Tc 1.4583 Tw (Salber, D.,) Tj 0 Tc 0.03 Tw ( ) Tj 43.8 0 TD -0.03 Tc 1.5 Tw (Dey, A.K.,) Tj 0 Tc 0.03 Tw ( ) Tj 44.28 0 TD -0.0043 Tc 1.5493 Tw (Abowd, G.D. The Context Toolkit: Aiding the Development of) Tj -106.08 -10.44 TD 0.0028 Tc 0.0272 Tw (Context-Enabled Applications. ) Tj 113.88 0 TD -0.003 Tc 0.0159 Tw (In the Proceedings of CHI '99. May 1999.) Tj -113.88 -10.32 TD 0.0615 Tc 0 Tw ([11]) Tj 15.36 0 TD /F9 9 Tf 0 Tc 0.018 Tw ( ) Tj 2.64 0 TD /F1 9 Tf 0 Tc 0.0189 Tw (Schilit, B.N., Adams, N.L., Want, R. Context-Aware Computing Applications. Proc. of the) Tj -18 -10.32 TD -0.0051 Tc 0.4933 Tw (Workshop on Mobile Computing Systems and Applications, Santa Cruz, CA, December 1994.) Tj 0 -10.32 TD -0.0192 Tc 0.0492 Tw (IEEE Computer Society.) 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Pittsburgh,) Tj 0 -10.44 TD 0.0067 Tc 0.0233 Tw (October 1998.) Tj 0 -10.32 TD 0.0615 Tc 0 Tw ([14]) Tj 15.36 0 TD /F9 9 Tf 0 Tc 0.018 Tw ( ) Tj 2.64 0 TD /F1 9 Tf -0.0022 Tc 7.9522 Tw (Weiser, M. Some Computer Science Problems in Ubiquitous Computing,) Tj -18 -10.32 TD -0 Tc 0.0302 Tw (Communications of the ACM, July 1993.) 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