DOCSLIB.ORG

Integrating Usability Models Into Pervasive Application Development

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Integrating Usability Models Into Pervasive Application Development Integrating Usability Models into Pervasive Application Development Paul Holleis München 2008 Integrating Usability Models into Pervasive Application Development Paul Holleis Dissertation an der Fakultät für Mathematik, Informatik und Statistik der Ludwig-Maximilians-Universität München vorgelegt von Paul Holleis aus Bad Reichenhall München, den 15.12.2008 Erstgutachter: Prof. Dr. Albrecht Schmidt Zweitgutachter: Prof. Dr. Heinrich Hußmann Externer Gutachter: Prof. Dr. Antonio Krüger Tag der mündlichen Prüfung: 19.01.2009 To my dad, who would have enjoyed reading this thesis. Table of Contents vii Table of Contents 1 INTRODUCTION AND STRUCTURE .......................................................................................................... 1 1.1 GOALS AND CONTRIBUTIONS .......................................................................................................................... 1 1.2 STRUCTURE ................................................................................................................................................. 2 2 DEVELOPING PERVASIVE APPLICATIONS ................................................................................................ 3 2.1 PERVASIVE COMPUTING ................................................................................................................................. 3 2.1.1 Brief History and Overview .............................................................................................................. 3 2.1.2 Applications and Related Terms ...................................................................................................... 5 2.2 APPLICATION DEVELOPMENT PROCESS ........................................................................................................... 11 2.2.1 Prototyping .................................................................................................................................... 13 2.2.2 Implementation ............................................................................................................................. 15 2.2.3 Deployment ................................................................................................................................... 15 2.2.4 Evaluation ...................................................................................................................................... 16 3 USER MODELS FOR UI DESIGN .............................................................................................................. 19 3.1 USER MODELS – OVERVIEW ......................................................................................................................... 19 3.1.1 Descriptive Models ........................................................................................................................ 20 3.1.2 Predictive Models .......................................................................................................................... 21 3.2 COGNITIVE USER MODELS ............................................................................................................................ 24 3.2.1 GOMS: Goals, Operators, Methods, Selection Rules ...................................................................... 26 3.2.2 KLM: Keystroke-Level Model .......................................................................................................... 29 3.3 DISCUSSION AND APPLICATIONS OF THE GOMS FAMILY OF MODELS ................................................................... 32 3.4 KLM EXTENSIONS FOR ADVANCED MOBILE PHONE INTERACTIONS ...................................................................... 36 3.4.1 Physical Mobile Interactions .......................................................................................................... 36 3.4.2 Model Parameters ......................................................................................................................... 37 3.4.3 User Studies for Time Measurements ............................................................................................ 41 3.4.4 Evaluation of the Extended KLM .................................................................................................... 49 3.4.5 Discussion and Related Work ........................................................................................................ 50 3.5 FURTHER KLM EXTENSIONS ......................................................................................................................... 52 4 TOOLS FOR RAPID APPLICATION DEVELOPMENT .................................................................................. 55 4.1 A REVIEW OF EXISTING PROTOTYPING TOOLKITS .............................................................................................. 55 4.1.1 Hardware-focused Toolkits ............................................................................................................ 55 4.1.2 Software-focused Toolkits ............................................................................................................. 58 4.1.3 Toolkits Tightly Combining Hardware and Software ..................................................................... 68 4.2 TOOLKIT REQUIREMENTS FOR PERVASIVE APPLICATIONS .................................................................................... 70 4.3 EITOOLKIT – DESIGN DECISIONS .................................................................................................................... 84 4.3.1 Envisioned Application Scenarios ................................................................................................... 84 4.3.2 Requirements Identification .......................................................................................................... 85 4.4 ARCHITECTURE AND IMPLEMENTATION ........................................................................................................... 87 viii Table of Contents 5 PROTOTYPING USING EITOOLKIT AND USER MODELS ........................................................................... 95 5.1 DESCRIBING APPLICATION SEMANTICS WITH STATE GRAPHS ............................................................................... 95 5.1.1 Graph Theoretical Foundations ...................................................................................................... 95 5.1.2 Definition of the State Graph ......................................................................................................... 96 5.1.3 Advantages of Using State Graphs in User Interaction Design ...................................................... 97 5.2 GRAPHICAL, STATE-BASED APPLICATION DEVELOPMENT ..................................................................................... 98 5.2.1 Example 1: Output-state-based Development ............................................................................... 98 5.2.2 Example 2: Trigger-action-based Development ........................................................................... 102 5.3 COMBINING MODELS AND STATE-BASED PROTOTYPING TOOLS ......................................................................... 104 5.3.1 KLM Component for Combining Prototyping with User Modelling .............................................. 104 5.3.2 Example 1: Integration into the d.tools Environment .................................................................. 106 5.3.3 Example 2: Integration into the Eclipse Environment .................................................................. 109 6 CASE STUDIES – APPLICATIONS BASED ON THE EITOOLKIT .................................................................. 111 6.1 DEVICE SPECIFIC APPLICATIONS ................................................................................................................... 111 6.2 TECHNOLOGY ENABLING APPLICATIONS ........................................................................................................ 112 6.2.1 Example Projects Using the Particle Microcontroller Platform .................................................... 112 6.2.2 Connection to Third Party Platforms and Components ................................................................ 119 6.3 DATA VISUALISATION TOOL WITH EXCHANGEABLE COMPONENTS ...................................................................... 121 6.4 WEARABLE COMPUTING ............................................................................................................................ 123 6.4.1 Related Work within Wearable Computing ................................................................................. 123 6.4.2 Touch Input on Clothing ............................................................................................................... 126 6.4.3 Touch Input on Mobile Phone Keypads ........................................................................................ 138 7 PROTOTYPING MOBILE DEVICE APPLICATIONS ................................................................................... 143 7.1 INTRODUCTION AND RELATED WORK ............................................................................................................ 143 7.2 CREATING PROTOTYPES OF MOBILE PHONE APPLICATIONS ............................................................................... 147 7.2.1 Generating the Application Behaviour ......................................................................................... 148 7.2.2 Analysing Tasks during Application Creation ..............................................................................
Load more

Recommended publications
  • Nokia N81 8GB & Nokia N81 Data Sheet
    Nokia N81 8GB & Nokia N81 Data Sheet Nokia Nseries Experiences Music Nokia N81 8GB: up to 8GB internal mass memory Planned Market Introduction Nokia N81: support for compatible microSD cards Q4 2007 Digital music player for high quality music playback High quality stereo speakers Category 3.5 mm stereo headphone plug (Nokia AV Connector) Multimedia Computer Bluetooth wireless technology A2DP profile (Bluetooth stereo Technical Profile audio) System: Slide Support for MP3/AAC/AAC+/eAAC+/WMA/M4A with playlists and Nokia N81 8GB (8GB variant), and equalizer Nokia N81 (microSD card variant): Easily synchronize music with a compatible version of WCDMA2100/EGSM850/900/1800/1900 MHz Microsoft’s Windows Media Player or Nokia Music Manager User Interface: S60 3rd Edition Search, browse and purchase songs online in Nokia Music Store Dimensions: 102 x 50 x 17.9 mm (L x W x H) – support for Windows Media DRM protected files Weight: 140 g (for Nokia Music Store availability, visit www.music.nokia.com) Standby time: Up to 16 days GSM, 17 days WCDMA Find and listen to podcasts on the go Talk time: Up to 4 hours GSM, 3 hours WCDMA Stereo FM radio with station directory and Visual Radio support Music playback: Up to 11.5 hours Games Display: 2.4 inch QVGA (240 x 320 pixels) with Landscape gaming with dedicated game keys up to 16.7 million colors N-Gage™ experience – expected to be available in 2H 2007 Battery: Nokia Battery (BP-6MT) inbox World-class game titles Memory: Nokia N81 8GB - up to 8GB internal mass Download and play high quality
    [Show full text]
  • Research Journal of Pharmaceutical, Biological and Chemical Sciences
    ISSN: 0975-8585 Research Journal of Pharmaceutical, Biological and Chemical Sciences A Novel Framework for Fall Detection by Using Ambient Sensors and Voice Recording. P Megana Santhoshi1*, and Mythili Thirugnanam2. 1PhD scholar, School of Computer Science and Engineering (SCOPE), VIT University, Tamil Nadu, India 2School of Computer Science and Engineering (SCOPE), VIT University, Vellore-632014, Tamil Nadu, India. ABSTRACT Now a day’s falls are the second ruling cause to unintentional injury death of elderly person. Fall detection methods are introduced to assist the elderly person. For any type of patient irrespective of age, first one to two hours treatment is crucial at the time of emergency. Before starting the treatment, it would be very helpful if caregivers know exact injury type. This paper aims to propose a framework on IoT and cloud computing based fall detection scheme using ambient sensors along with voice recording. With the help of voice clip and fall alarm, patient had a feasibility to inform exact injury to hospital. Hospital people will facilitate relevant department services to start quick treatment. Keywords: Ambience based fall detection; voice recorder based health system; wireless sensor networks (WSN’s); IoT (Internet of Things); Cloud computing; smart health care system. *Corresponding author September – October 2016 RJPBCS 7(5) Page No. 2097 ISSN: 0975-8585 INTRODUCTION The number of persons above the age of 60 years is huge growing, especially in India. As per Indian government ministry of statistics, India is the second population country in the world having 1.21 Billion people. In that 35.5% of people are at or over the age of 60.
    [Show full text]
  • Nokia 3220 Phone at a Glance
    UserGuide_test 1/26/04 1:04 PM Page 1 Thank you for purchasing your new Nokia phone. We’re here for you! www.nokiahowto.com Learn how to use your new Nokia phone. www.nokia.com/us Get answers to your questions. Register your phone’s limited warranty so we can better serve your needs! Nokia Inc. 7725 Woodland Center Boulevard, Suite 150, Tampa FL 33614 . Phone: 1.888.NOKIA.2U (1.888.665.4228) Fax: 1.813.249.9619 . Text Telephone/Telecommunication Device User Guide for the Deaf (TTY/TDD) Users: 1.800.24.NOKIA (1.800.246.6542) PRINTED IN CANADA Nokia 3220 phone at a glance Power key Earpiece Display screen Left Right selection key selection key Call key End key Scroll key Keypad Bottom of phone Back of phone Pop-Port Camera lens Charger port connector Microphone Nokia 3220 User Guide iCopyright © 2004 Nokia •QUICK GUIDE Action Description Make a call Enter a phone number, and press the Call key. Answer a call Press the Call key, or select Answer. Answer call during call Press the Call key. End a call Press the End key. Decline a call Press the End key to send the call to voice mail. Mute a call Select Mute during a call. Redial Press the Talk key twice. Adjust call volume Press the Scroll left and Scroll right keys during a call. Use in-call menu Select Options during a call. Save name and number Enter a number. Select Options > Save. Enter a name. Select OK. Use 1-touch dialing Press and hold a key (2–8).
    [Show full text]
  • Physical Selection in Ubiquitous Computing
    ESPOO 2007 VTT PUBLICATIONS 663 VTT PUBLICATIONS 663 Physical Selection in Ubiquitous Computing VTT PUBLICATIONS 645 Laitila, Arja. Microbes in the tailoring of barley malt properties. 2007. 107 p. + app. 79 p. 646 Mäkinen, Iiro. To patent or not to patent? An innovation-level investigation of the propensity to patent. 2007. 95 p. + app. 13 p. 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 647 Mutanen, Teemu. Consumer Data and Privacy in Ubiquitous Computing. 2007. 82 p. 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 + app. 3 p. 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 648 Vesikari, Erkki. Service life management system of concrete structures in nuclear 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890 power plants. 2007. 73 p. 1234567890123456789012345678901212345678901234567890123456789012123456789012345678901234567890
    [Show full text]
  • THE UNIVERSITY of CALGARY Contextual Locations in the Home by Kathryn Kylie Elliot a THESIS SUBMITTED to the FACULTY of GRADUATE
    THE UNIVERSITY OF CALGARY Contextual Locations in the Home by Kathryn Kylie Elliot A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE DEPARTMENT OF COMPUTER SCIENCE CALGARY, ALBERTA DECEMBER, 2006 © Kathryn Kylie Elliot 2006 Approval Page THE UNIVERSITY OF CALGARY FACULTY OF GRADUATE STUDIES The undersigned certify that they have read, and recommend to the Faculty of Graduate Studies for acceptance, a thesis entitled “Contextual Locations in the Home” submitted by Kathryn Kylie Elliot in partial fulfillment of the requirements for the degree of Master of Science. Supervisor, Saul Greenberg Department of Computer Science Sheelagh Carpendale Department of Computer Science External Examiner, Barry Wylant Faculty of Environmental Design University of Calgary Date - ii - Abstract In this thesis, I address the problem of designing technology for communication and coordination information management in the home. First, I use contextual interviews to examine how households currently manage this information. From these interviews, I identify five types of communicative information. I then discuss how these types are created and understood by home inhabitants as a function of contextual locations within the home. The choice of location for a piece of information is important to the functioning of the home, and is highly nuanced. Location helps home inhabitants understand time, ownership and awareness. Finally, I show how this understanding can be applied in design through two case studies in location-based home technology design. This will provide practitioners and designers with a more complete view of information in the home, and a better understanding of how technology embedded within the home can augment communication and coordination of home inhabitants.
    [Show full text]
  • Nokia 3220 User Guide in French
    Manuel d'utilisation du Nokia 3220 9233114 Édition 3 DÉCLARATION DE CONFORMITÉ Nous, NOKIA CORPORATION, déclarons sous notre seule responsabilité la conformité du produit RH-37 aux dispositions de la directive européenne 1999/5/CE. La déclaration de conformité peut être consultée à l'adresse suivante : http://www.nokia.com/phones/declaration_of_conformity/. Copyright © 2005 Nokia. Tous droits réservés. Le symbole de la poubelle sur roues barrée d’une croix signifie que ce produit doit faire l’objet d’une collecte sélective en fin de vie au sein de l’Union européenne. Cette mesure s’applique non seulement à votre appareil mais également à tout autre accessoire marqué de ce symbole. Ne jetez pas ces produits dans les ordures ménagères non sujettes au tri sélectif. La reproduction, le transfert, la distribution ou le stockage d'une partie ou de la totalité du contenu de ce document, sous quelque forme que ce soit, sans l'autorisation écrite préalable de Nokia est interdite. Nokia, Nokia Connecting People, Xpress-on et Pop-Port sont des marques commerciales ou des marques déposées de Nokia Corporation. Les autres noms de produits et de sociétés mentionnés dans ce document peuvent être des marques commerciales ou des noms de marques de leurs détenteurs respectifs. Nokia tune est une marque sonore de Nokia Corporation. Licence américaine Nº 5818437 et autres brevets en instance. Dictionnaire T9 Copyright (C) 1997-2005. Tegic Communications, Inc. Tous droits réservés. Comprend le logiciel de cryptographie ou de protocole de sécurité RSA BSAFE de RSA Security. Java est une marque commerciale de Sun Microsystems, Inc.
    [Show full text]
  • Internet of Nano-Things, Things and Everything: Future Growth Trends
    future internet Review Internet of Nano-Things, Things and Everything: Future Growth Trends Mahdi H. Miraz 1 ID , Maaruf Ali 2, Peter S. Excell 3,* and Richard Picking 3 1 Centre for Financial Regulation and Economic Development (CFRED), The Chinese University of Hong Kong, Sha Tin, Hong Kong, China; [email protected] 2 International Association of Educators and Researchers (IAER), Kemp House, 160 City Road, London EC1V 2NX, UK; [email protected] 3 Faculty of Art, Science and Technology, Wrexham Glyndwrˆ University, Wrexham LL11 2AW, UK; [email protected] * Correspondence: [email protected]; Tel.: +44-797-480-6644 Received: 22 June 2018; Accepted: 25 July 2018; Published: 28 July 2018 Abstract: The current statuses and future promises of the Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano-Things (IoNT) are extensively reviewed and a summarized survey is presented. The analysis clearly distinguishes between IoT and IoE, which are wrongly considered to be the same by many commentators. After evaluating the current trends of advancement in the fields of IoT, IoE and IoNT, this paper identifies the 21 most significant current and future challenges as well as scenarios for the possible future expansion of their applications. Despite possible negative aspects of these developments, there are grounds for general optimism about the coming technologies. Certainly, many tedious tasks can be taken over by IoT devices. However, the dangers of criminal and other nefarious activities, plus those of hardware and software errors, pose major challenges that are a priority for further research. Major specific priority issues for research are identified.
    [Show full text]
  • Ambient Intelligence: Principles, Current Trends, Future Directions Manas Kumar Yogi * K
    International Journals of Advanced Research in Computer Science and Software Engineering Research Article February ISSN: 2277-128X (Volume-8, Issue-2) a 2018 Ambient Intelligence: Principles, Current Trends, Future Directions Manas Kumar Yogi * K. Chandrasekhar Bhanu Prakash Asst. Prof., CSE Department, Asst. Prof., CSE Department, B.Tech II Year Student, CSE Pragati Engineering College, Pragati Engineering College, Department, Pragati Engineering Andhra Pradesh, India Andhra Pradesh, India College, Andhra Pradesh, India [email protected] [email protected] [email protected] Abstract— In this paper we have presented the involved principles, trends, future directions of ambient intelligence. in the first section we have elucidated concept of ambient intelligence with the prevalent need of intelligent communication with the help of designing knowledgeable entities. We have presented the design process of I-blocks with its inherent merits. we have also discussed the various design concepts of ambient intelligence objects. Finally, we presented the current research directions to motivate societal needs of human beings. Keywords— ambient, Computer Vision, intelligence, smart, ubiquitous I. INTRODUCTION This introductory paper describes Ambient Intelligence (AmI) from the perspectives of researchers working in the field of Artificial Intelligence and Computer Vision. It is for the reader to get acquainted with some of the ideas .That will be explored in greater detail in the following content .Ambient Intelligence is a term that was introduced by the European community to identify a paradigm to equip environments with advanced technology and computing to create an ergonomic space for the occupant user. Here the term ergonomic is used in a broad sense, encompassing both better living environment, secure space, but also an active, almost living space around us; capable of aiding us with daily chores and professional duties.
    [Show full text]
  • 7. 3G/3.5G Mobile Phone/PDA Support
    7. 3G/3.5G Mobile Phone/PDA Support To streaming from 3/3.5G mobile phone or PDA, you have to open the mobile port of DVR, the default setting is 7050, which may be changed, please refer to 5.5.5 PPPoE/DDNS(Net- Second Page] or IE 6.5 Device Parameters Settings ServerÆNetwork setting, video system For limited upload bandwidth of internet that DVRs connect, or limited streaming capability of some mobile phone/PDA, you have to adjust bandwidth of DVR to internet, please refer to 5.3.8 Dual Streaming for Network(Record- Advanced Setting) or 6.5 Device Parameters Settings - ChannelÆ Camera setting, Sub Bitstream, Subcode (from IE) for more details You may find the Windows Mobile 5.0/6.0/6.1 PDA(amplayersetup.CAB) and Symbian S60 3rd (P2P_S60_3rd_0113.sis) and S60 5th(P2P_S60_5Th_20090112.sis) softwares from the CD inside the DVR package or visit your DVR website to download by IE – http://xxx.xxxx.xxxx/download.html Note: User’s mobile phone must apply internet connection service at first, such as 3G or 3.5G service. Please contact mobile company for detail. 7. 1 Windows Mobile PDA Open accessory CD and find the “amplayersetup.CAB” for the surveillance software. Please refer to PDA user manual, copy *.cab into windows mobile pda Double click on *.cab can start install software into PDA. After install completed, user can find QQEYE in the application list. Execute QQEYE program and click to setup IP address of remote DVR. - 60 - Input user name 〖Admin〗and password. IP address of DVR and port:7050 for streaming data.
    [Show full text]
  • Ambient Sensors for Elderly Care and Independent Living: a Survey
    sensors Review Ambient Sensors for Elderly Care and Independent Living: A Survey Md. Zia Uddin * ID , Weria Khaksar and Jim Torresen Department of Informatics, University of Oslo, 0316 Oslo, Norway; weriak@ifi.uio.no (W.K.); jimtoer@ifi.uio.no (J.T.) * Correspondence: mdzu@ifi.uio.no; Tel.: +47-22-85-44-09 Received: 9 May 2018; Accepted: 18 June 2018; Published: 25 June 2018 Abstract: Elderly care at home is a matter of great concern if the elderly live alone, since unforeseen circumstances might occur that affect their well-being. Technologies that assist the elderly in independent living are essential for enhancing care in a cost-effective and reliable manner. Elderly care applications often demand real-time observation of the environment and the resident’s activities using an event-driven system. As an emerging area of research and development, it is necessary to explore the approaches of the elderly care system in the literature to identify current practices for future research directions. Therefore, this work is aimed at a comprehensive survey of non-wearable (i.e., ambient) sensors for various elderly care systems. This research work is an effort to obtain insight into different types of ambient-sensor-based elderly monitoring technologies in the home. With the aim of adopting these technologies, research works, and their outcomes are reported. Publications have been included in this survey if they reported mostly ambient sensor-based monitoring technologies that detect elderly events (e.g., activities of daily living and falls) with the aim of facilitating independent living. Mostly, different types of non-contact sensor technologies were identified, such as motion, pressure, video, object contact, and sound sensors.
    [Show full text]
  • Cell Phones and Pdas
    eCycle Group - Check Prices Page 1 of 19 Track Your Shipment *** Introductory Print Cartridge Version Not Accepted February 4, 2010, 2:18 pm Print Check List *** We pay .10 cents for all cell phones NOT on the list *** To receive the most for your phones, they must include the battery and back cover. Model Price Apple Apple iPhone (16GB) $50.00 Apple iPhone (16GB) 3G $75.00 Apple iPhone (32GB) 3G $75.00 Apple iPhone (4GB) $20.00 Apple iPhone (8GB) $40.00 Apple iPhone (8GB) 3G $75.00 Audiovox Audiovox CDM-8930 $2.00 Audiovox PPC-6600KIT $1.00 Audiovox PPC-6601 $1.00 Audiovox PPC-6601KIT $1.00 Audiovox PPC-6700 $2.00 Audiovox PPC-XV6700 $5.00 Audiovox SMT-5500 $1.00 Audiovox SMT-5600 $1.00 Audiovox XV-6600WOC $2.00 Audiovox XV-6700 $3.00 Blackberry Blackberry 5790 $1.00 Blackberry 7100G $1.00 Blackberry 7100T $1.00 Blackberry 7105T $1.00 Blackberry 7130C $2.00 http://www.ecyclegroup.com/checkprices.php?content=cell 2/4/2010 eCycle Group - Check Prices Page 2 of 19 Search for Pricing Blackberry 7130G $2.50 Blackberry 7290 $3.00 Blackberry 8100 $19.00 Blackberry 8110 $18.00 Blackberry 8120 $19.00 Blackberry 8130 $2.50 Blackberry 8130C $6.00 Blackberry 8220 $22.00 Blackberry 8230 $15.00 Blackberry 8300 $23.00 Blackberry 8310 $23.00 Blackberry 8320 $28.00 Blackberry 8330 $5.00 Blackberry 8350 $20.00 Blackberry 8350i $45.00 Blackberry 8520 $35.00 Blackberry 8700C $6.50 Blackberry 8700G $8.50 Blackberry 8700R $7.50 Blackberry 8700V $6.00 Blackberry 8703 $1.00 Blackberry 8703E $1.50 Blackberry 8705G $1.00 Blackberry 8707G $5.00 Blackberry 8707V
    [Show full text]
  • U¾ivatelská Příručka Nokia 3220
    U¾ivatelská pøíruèka Nokia 3220 9233115 3. vydání PROHLÁ©ENÍ O SHODÌ My, spoleènost NOKIA CORPORATION, v rámci své jediné odpovìdnosti prohla¹ujeme, ¾e se produkt RH-37 shoduje s ustanoveními následující smìrnice: 1999/5/EC. Kopii Prohlá¹ení o shodì naleznete na adrese http://www.nokia.com/phones/declaration_of_conformity/. Copyright © 2005 Nokia. V¹echna práva vyhrazena. Symbol pøe¹krtnutého kontejneru znamená, ¾e na území Evropské unie musí být produkt po ukonèení jeho ¾ivotnosti ulo¾en do oddìleného sbìru. Toto naøízení se netýká pouze va¹eho pøístroje, ale i ka¾dého pøíslu¹enství oznaèeného tímto symbolem. Neodhazujte tyto produkty do netøídìného komunálního odpadu. Reprodukce, pøenos, distribuce nebo ukládání obsahu tohoto dokumentu nebo libovolné jeho èásti v jakékoli formì je povoleno pouze po pøedchozím písemném svolení spoleèností Nokia. Nokia, Nokia Connecting People, Xpress-on a Pop-Port jsou ochranné známky nebo registrované ochranné známky spoleènosti Nokia Corporation. Ostatní zmiòované produkty a názvy spoleèností mohou být ochrannými známkami nebo obchodními názvy svých odpovídajících vlastníkù. Nokia tune je zvuková znaèka spoleènosti Nokia Corporation. US Patent No 5818437 and other pending patents. T9 text input software Copyright (C) 1997-2005. Tegic Communications, Inc. All rights reserved. Includes RSA BSAFE cryptographic or security protocol software from RSA Security. Java is a trademark of Sun Microsystems, Inc. This product is licensed under the MPEG-4 Visual Patent Portfolio License (i) for personal and noncommercial use in connection with information which has been encoded in compliance with the MPEG-4 Visual Standard by a consumer engaged in a personal and noncommercial activity and (ii) for use in connection with MPEG-4 video provided by a licensed video provider.
    [Show full text]