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THE MOBILE PROCESS EDGE
Christer Carlsson
IAMSR / Åbo Akademi
Mobile Commerce 2001
Background IAMSR found in 2000 that the core of what could be
done in m-commerce was not well defined and that the market hype could destroy an activity which could be vital for 3G.
IAMSR formed both a national consortium and an international network to work out the core of m-commerce.
The IST2001 in Düsseldorf proved the point about m-commerce, but was still talking about ”killer applications”
Mobile Commerce 2001
Partners IAMSR, Nokia MP, Sonera, Sampo, Ålandsbanken,
Turku TV Operations [national Tekes project] HHL (Leipzig), Bertelsmann, 12Snap, McCann
Erickson, Netdoktor + more to come ENPC (Paris) + corporate partners pending CityU (HK) + corporate partners pending North Carolina State University (Raleigh) TLX, NETS programs Focus:Prime mover advantage in mobile commerce
Mobile Commerce 2001
Projects in Mobile Commerce 3.71 Empirical research program (Germany, Finland,
France, Hong Kong, Singapore, USA (North Carolina) [running]
3.51 M-Commerce Foresight with scenario agents (Finland + added input from partners) [running]
3.12 MExE, virtual support platform (Sonera, Nokia) [running]
Planned: 3.11 DigiTV & smart phones, 3.63 Mobile eHealth, 3.21 Virtual teamwork
Mobile Commerce 2001
Theory-Oriented Research Mobile commerce core issues & value-added
Research consortium seminars, white papers 14 th Bled E-Commerce Position paper [Carlsson-Walden-Vogel]
Mobile DSS HICSS 2002 workshop, DSS journal [Carlsson-Keen-Wagner]
Multiagent technology for mobile support platforms Soft computing and mobile support Real options theory & m-commerce projects Quality, Foresight, eProcesses, eHealth, B-to-B, ....
Mobile Commerce 2001
The Virtual Support Platform [3.12] Worked out on the Sonera e-Management portal Scanning software agent technology developed by
IAMSR since 1997, now a 4th generation version The scanning agents combine with search and scenario
agents to form a multiagent environment Interpretation agents (based on approximate reasoning)
the next members of the ”family” Soon to run also from PDA + WLAN and Nokia 9210 Brings relevant data in a useful form from reliable data
sources to the point of decision
Folders are used to organize documents into logical categories or sub categories.
Each folder may contain either other folders or profiles. In this case Patent monitoring consists of 4 folders: m-commerce, GPRS, 3G, WLAN.
By clicking on a folder you can view the content of a folder which may either contain other folders or documents.
We can also see how many documents are read/unread in each folder that contains documents.
In case the folder contains of documents we get a small description of each document found in that category (folder).
By clicking on the documents link we get to view the content of the document.
Show tree displays the tree structure of the folders.
The same page that was viewed in slide 1.
Find in folder searches for something specific
in the current folder.
The user can click edit button in order to be able to add/remove/edit
profiles/folders for a folderThe user can type in a keyword in order to get a
subset of documents in order to find the most
interesting documents.
Here we can see the content and other information of the document.
There is also a link that links back to the original document where this information was found.
By clicking back the user can return to the folder where he came from.
By clicking on one of the folders on the folder path the user can go to a higher level on the folder tree. In this case either: Start, Patent monitoring or m-commerce.
Here we are editing a profile.
We give it a name and a descrption and select the
datasources that should be scanned. Depending on what
sources we want to scan the amount and content of search
data fields may vary.
Search data is data that identifies the profile and gives
the documents that we are interesting in. In case we are interested
in GPRS the logic query would probably be GPRS. If we are
only interested in GPRS technologies invented by Nokia or a
person working on Nokia we might want to specify Nokia as
inventor or the person name. (In hence we know that kind
of information)
Mobile Commerce 2001
The Virtual Support Platform [3.12] The Decision Organizer was worked out as a group
support platform for virtual teams, which work on the same task but in different locations, even in different time zones
Jointly working on decision alternatives: brainstorming, rating, ranking and deciding
Runs very well on iPAQ + WLAN and (a bit slowly) on Nokia 9210
Can interact with PC + intra/internet
The Decision Organizer running on Nokia 9210 and iPAQ
The session-list (main) screen.
Add a new session Add a new event to a session
The Event list
The Users & Groups screens
The Ratings input screens
Screens for visualization of results
Collaborative Fuzzy Agents
IAMSR Agents Research Scanning, search, description, scenario, interpretation
agents: IAMSR has built prototypes, which were fully validated and tested
Alko, Imagine21, Waeno (Fortum, m-real, Outokumpu, Rautaruukki), Mobile Commerce (Sonera [+customers], M-Commerce Foresight)
Runs on Sonera mobile portal [e-Management] Commercial versions: Document Tracer, Fare Tracer,
I-Tracer [Agentum Inc]
Collaborative Fuzzy Agents
IAMSR Fuzzy Logic Research Fuzzy optimization, fuzzy multiple criteria
optimization, fuzzy logic and approximate reasoning, fuzzy linguistic optimization
Soft computing, soft decision analysis, software agents with AR schemes
Fuzzy bullwhip model, fuzzy real options, fuzzy real option valuation methods
Fuzzy Reasoning in Decision Making and Optimization [Springer 2001]
Collaborative Software Agents
Data,Reports
Data,Reports
INTERPRETINTERPRET SCENARIOSCENARIOFiltersFilters
SEARCHSEARCH SCANSCAN
Source 1Source 1
Source mSource m
Source 2Source 2
Source 1Source 1
Source nSource n
Source 2Source 2
Planning, problem-solving, decision making platform [Web, PDA & WLAN, Nokia 9210]
Planning, problem-solving, decision making platform [Web, PDA & WLAN, Nokia 9210]
Collaborative Software Agents
Collaborative Agents System The scanning agent searches 100s of data sources with
profiles tailored to the data sources; trusted Internet sources; automatic 24/7 – only new material
The search agent searches 100s of internal data sources with profiles tailored to the data sources; automatic 24/7
The scenario agent drives the scanning and search agents and continuously updates scenario etc. documents; will be supported with the new interpretation agent to find “significant etc” material
Collaborative Fuzzy Agents
Why Collaborative Fuzzy Agents? Collaborative: simpler, faster, lighter agents Fuzzy agents: incomplete data, information can be used Collaborative fuzzy agents as support front-ends Designed to help several categories of users: (i)
professionals with integrated environments, (ii) people in need of support for fast applications, (iii) children, (iv) elderly and disabled, and (v) for focused business applications on PDA + WLAN, Nokia 9210 and intra-, extra- and internets
Collaborative Fuzzy Agents
How Collaborative Fuzzy Agents? Scanning with fuzzy logic (AR schemes) to add
sensitivity to “similar material” Search with fuzzy logic for the same capability Interpretation can be done with filters using AR
schemes to (i) find significant material, (ii) to trace deviations from expectations, (iii) to “summarize” and “abstract”
AR schemes on the platform to guide the collaborative agents system; to update scanning and search profiles and interpretation filters
Collaborative Fuzzy Agents
Cooperation EUNITE on smart adaptive systems BISC [UC Berkeley] on intelligent systems BTExact on agents for personalized information
management Sonera, Nokia, Sampo, Ålandsbanken, CityUHK,
UPMC
Collaborative Fuzzy Agents
Expected results on agent abilities To work as ubiquitous modules in mobile commerce
products & services [b-to-b, b-to-e, b-to-c, p-to-p] To work as supporting user interfaces to mobile
commerce products & services, partially implemented on mobile devices, partially on servers
To work as parts of mobile portals mainly for b-to-b products & services to improve information logistics
To work as support for b-to-e applications, mainly focused on time management and the productivity of working time
Generic M-Com Software Designs
Mobile Commerce (2001) Hype: killer applications, service integration Reality: information systems, which should be designed
to conform with (i) user needs, (ii) existing IT infrastructures (including payment systems), and (iii) mobile platform technologies
Digital products & services Digital product Digital service Digital product with service Digital service with product
Mobile Commerce
PRODUCER PERSPECTIVE:Modularity, Layers, Bundling
PERS – PersonalisationLOCAL-LocalisationUBI-UbiquityTIME-TimelinessCON-ConveniencePRICE-Pricing
PROD1
PERS
LOCAL
UBI
TIMECON
PRICEPROD2
PERS
LOCAL
UBI
TIMECON
PRICE
SERV1
PERS
LOCAL
UBI
TIMECON
PRICE SERV2
PERS
LOCAL
UBI
TIMECON
PRICE
ModulesLayers
Bundle
Generic M-Com Software Designs
Mobile Commerce (Principles) Modules: composite products & services Layers: tailored products & services for markets
segments, user groups; tailored pricing models Bundles: combinations of products & services User interfaces: collaborative fuzzy agent interfaces to
build/support (i) localization, (ii) personalization, (iii) timeliness, (iv) ubiquity and (v) convenience
Mobile Commerce Design
PERS – PersonalisationLOCAL-LocalisationUBI-UbiquityTIME-TimelinessCON-ConveniencePRICE-Pricing
PROD1
PERS
LOCAL
UBI
TIMECON
PRICEPROD2
PERS
LOCAL
UBI
TIMECON
PRICE
SERV1
PERS
LOCAL
UBI
TIMECON
PRICE SERV2
PERS
LOCAL
UBI
TIMECON
PRICE
ModulesLayers
Bundle
Data,Reports
Data,Reports
INTERPRETINTERPRET
SCENARIOSCENARIO
FiltersFilters
SEARCHSEARCH
SCANSCAN
Source 1Source 1
Source mSource m
Source 2Source 2
Source 1Source 1
Source nSource n
Source 2Source 2
Planning, problem-solving, decision making platform [Web, PDA & WLAN, Nokia 9210]
Planning, problem-solving, decision making platform [Web, PDA & WLAN, Nokia 9210]
Generic M-Com Software Designs
Fuzzy collaborative agents Generic constructs, can be extended and enhanced to
two categories Looking for data, facts, information Interpreting data, facts, information
Agent profiles are based on (i) personalisation, (ii) localisation, (iii) time, (iv) ubiquity and (v)I convenience
User value is created in the user interface to the m-commerce product & service
Generic M-Com Software Designs
Mobile Commerce (Results) Ubiquitous, fast, invisible and affordable mobile
systems components Will run on PDA + WLAN, Nokia 9210, intra-, extra-
and internets Will add value and/or form mobile commerce products
& services May be/become key components for global mo bile
commerce First movers: Finnish companies & partners