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National Institute of Advanced Industrial Science and Technology
Lab-Forming Fields
and
Field-Forming Labs
Takeshi Kurata,...
National Institute of Advanced Industrial Science and Technology
• Evidence-based service is required.
– How to get Big Da...
National Institute of Advanced Industrial Science and Technology
• Evidence-based service is required.
– How to get Big Da...
National Institute of Advanced Industrial Science and Technology 4
• Difficult to obtain compared with big data
• Heteroge...
National Institute of Advanced Industrial Science and Technology
Pier Data (Formerly Comb Data): Big Data + Deep Data
5
National Institute of Advanced Industrial Science and Technology 6
Pier Data
(Big Data + Deep Data)
Deep Data
(Measured/Ga...
National Institute of Advanced Industrial Science and Technology 7
Pier Data
(Big Data + Deep Data)
Deep Data
(Measured/Ga...
National Institute of Advanced Industrial Science and Technology 8
AI, Real-world/Human modeling, Simulation
Pier Data
(Bi...
National Institute of Advanced Industrial Science and Technology
• Borrowing from “Terraforming”
• Lab-forming Field: Tran...
National Institute of Advanced Industrial Science and Technology 10
Technical fields exploited for LFF and FFL
Dollhouse V...
National Institute of Advanced Industrial Science and Technology 11
LFF or FFL: Indoor Positioning Technologies
National Institute of Advanced Industrial Science and Technology 12
LFF: VDR (Vibration-based Vehicle Dead-Reckoning)
National Institute of Advanced Industrial Science and Technology
13
FFL: SFS (Service Field Simulator)
In 2010
In 2015
Eye...
National Institute of Advanced Industrial Science and Technology
Service design loop for supporting human-centered co-crea...
National Institute of Advanced Industrial Science and Technology
Hakatte Hakaru: service design loop in Japanese
31
National Institute of Advanced Industrial Science and Technology
Hakatte Hakaru: service design loop in Japanese
32
National Institute of Advanced Industrial Science and Technology 15
Visualization tool combining human-behavioral and acco...
National Institute of Advanced Industrial Science and Technology 16
LFF and FFL: Measurement -> Modeling -> Simulation
Act...
National Institute of Advanced Industrial Science and Technology
Interview with FPV
Passage of Time
+ Over 50% cost reduct...
National Institute of Advanced Industrial Science and Technology
• The concept of Lab-Forming Fields (LFF) and
Field-Formi...
National Institute of Advanced Industrial Science and Technology
• How to develop strategy for gathering Pier data, especi...
National Institute of Advanced Industrial Science and Technology
Service operations Supplemental note
Taking orders At tab...
National Institute of Advanced Industrial Science and Technology
Efficient interactive label attaching
for supervised Serv...
National Institute of Advanced Industrial Science and Technology
• How to develop strategy for gathering Pier data, especi...
National Institute of Advanced Industrial Science and Technology 23
LFF/FFL: Whole-body posture estimation and precise pos...
National Institute of Advanced Industrial Science and Technology
• How to develop strategy for gathering Pier data, especi...
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ICServ 2017: Lab-Forming Fields and Field-Forming Labs

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This paper presents the concept of Lab-Forming Fields (LFF) and Field-Forming Labs (FFL). LFF is to transform real service fields into lab-like places for bringing research methodologies in laboratories to real fields with IoT. FFL is to transform laboratories into real-field-like places for getting subjects’ be-havior and experimental results closer and closer to the ones which are sup-posed to be obtained in the real service fields with VR. In addition, this paper provides a summary table of previously conducted researches in AIST on LFF and FFL with geospatial computing.

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ICServ 2017: Lab-Forming Fields and Field-Forming Labs

  1. 1. National Institute of Advanced Industrial Science and Technology Lab-Forming Fields and Field-Forming Labs Takeshi Kurata, Ryosuke Ichikari, Ching-Tzun Chang, Masakatsu Kourogi, Masaki Onishi, Takashi Okuma AIST, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8560, Japan {t.kurata, r.ichikari, keishun-chou, m.kourogi, takashi-okuma}@aist.go.jp, onishi@ni.aist.go.jp
  2. 2. National Institute of Advanced Industrial Science and Technology • Evidence-based service is required. – How to get Big Data: by employing IoT (Internet of Things) • G-IoT: Interdiscipline between geospatial computing (seamless positioning, real-world modeling, SLAM [Simultaneous Localization And Mapping], MAR [Mixed and Augmented Reality]) and IoT • AI (Artificial Intelligence) makes Big Data more meaningful – How to train AI: by Deep Data gathering 2 Big Data Introduction IoT (especially Geospatial IoT)
  3. 3. National Institute of Advanced Industrial Science and Technology • Evidence-based service is required. – How to get Big Data: by employing IoT (Internet of Things) • G-IoT: Interdiscipline between geospatial computing (seamless positioning, real-world modeling, SLAM [Simultaneous Localization And Mapping], MAR [Mixed and Augmented Reality]) and IoT • AI (Artificial Intelligence) makes Big Data more meaningful – How to train AI: by gathering Deep Data (Training Data) 3 Big Data Introduction Deep Data IoT (especially Geospatial IoT) AI, Real-world/Human modeling, Simulation
  4. 4. National Institute of Advanced Industrial Science and Technology 4 • Difficult to obtain compared with big data • Heterogeneous types of data such as behavior, gaze, biological, and brain activity data • High-quality data such as ground truth and reference data which are often created manually or interactively • In-depth data on elite monitors (subjects) Definition of Deep Data
  5. 5. National Institute of Advanced Industrial Science and Technology Pier Data (Formerly Comb Data): Big Data + Deep Data 5
  6. 6. National Institute of Advanced Industrial Science and Technology 6 Pier Data (Big Data + Deep Data) Deep Data (Measured/Gathered in laboratories/edge-heavy real fields. High-quality/Heterogeneity. Training data for ML) Big Data (Measured/Gathered daily by IoT devices in real fields. Issues on quality and variety.) Lab-Forming Fields (LLF) and Field-Forming Labs (FFL)
  7. 7. National Institute of Advanced Industrial Science and Technology 7 Pier Data (Big Data + Deep Data) Deep Data (Measured/Gathered in laboratories/edge-heavy real fields. High-quality/Heterogeneity. Training data for ML) Big Data (Measured/Gathered daily by IoT devices in real fields. Issues on quality and variety.) Lab-Forming Fields (LFF) Wearable AR IoT (especially Geospatial IoT) Lab-Forming Fields (LLF) and Field-Forming Labs (FFL)
  8. 8. National Institute of Advanced Industrial Science and Technology 8 AI, Real-world/Human modeling, Simulation Pier Data (Big Data + Deep Data) Deep Data (Measured/Gathered in laboratories/edge-heavy real fields. High-quality/Heterogeneity. Training data for ML) Big Data (Measured/Gathered daily by IoT devices in real fields. Issues on quality and variety.) Lab-Forming Fields (LFF) Field-Forming Labs (FFL) VR Wearable AR IoT (especially Geospatial IoT) Lab-Forming Fields (LLF) and Field-Forming Labs (FFL)
  9. 9. National Institute of Advanced Industrial Science and Technology • Borrowing from “Terraforming” • Lab-forming Field: Transform real service fields into lab-like places for bringing research methodologies in laboratories to real fields • Field-forming Lab: Transform laboratories into real- field-like places for getting sub-jects’ behavior and experimental results closer to the ones which are supposed to be obtained in the real service fields 9 Lab-Forming Fields (LLF) and Field-Forming Labs (FFL)
  10. 10. National Institute of Advanced Industrial Science and Technology 10 Technical fields exploited for LFF and FFL Dollhouse VR [21] SFS [18][19][20] Virtualized environment [6] Wearable [8][9] RGB-D sensing [4] PDR [1][2] Handheld AR [15]
  11. 11. National Institute of Advanced Industrial Science and Technology 11 LFF or FFL: Indoor Positioning Technologies
  12. 12. National Institute of Advanced Industrial Science and Technology 12 LFF: VDR (Vibration-based Vehicle Dead-Reckoning)
  13. 13. National Institute of Advanced Industrial Science and Technology 13 FFL: SFS (Service Field Simulator) In 2010 In 2015 Eye tracking Brain wave (Event-related Potentials)
  14. 14. National Institute of Advanced Industrial Science and Technology Service design loop for supporting human-centered co-creation 14
  15. 15. National Institute of Advanced Industrial Science and Technology Hakatte Hakaru: service design loop in Japanese 31
  16. 16. National Institute of Advanced Industrial Science and Technology Hakatte Hakaru: service design loop in Japanese 32
  17. 17. National Institute of Advanced Industrial Science and Technology 15 Visualization tool combining human-behavioral and accounting history Employee taking order while cleaning up the guest room Icons showing the number of customers at each table POS data log LFF: CSQCC (Computer-supported QC Circle) Study Case Measurement Modeling Design/ Pre-evaluation Application/ Intervention As-Is comprehension on employees’ behavior in restaurants (CSQCC) [11][12][13] Employees’ trajectories, POS data, Real environments Work indicators, Skills, 3D Indoor environments, Kaizen plan discussion with visualization Improved operation
  18. 18. National Institute of Advanced Industrial Science and Technology 16 LFF and FFL: Measurement -> Modeling -> Simulation Actual operation (Single picking) Simulated Kaizen plan (Zone picking) VS Study Case Measurement Modeling Design/ Pre-evaluation Application/ Intervention To-Be comparison on operation plans in warehouse picking [14] Trajectories of employees and carts, Shelves’ layout, WMS data Picking work, Work indicators Kaizen-plan comparison by simulation (Improved operation)
  19. 19. National Institute of Advanced Industrial Science and Technology Interview with FPV Passage of Time + Over 50% cost reduction on labor cost and preparation time compared with existing time studies + Consideration of customer privacy by not using cameras + FPV with less motion sickness + Effective in episodic memory retrieval for retrospective interviews considering bounded rationality Worker’s trajectory 3D model built from a set of photos Japanese-style hotel at Kinosaki Onsen (hot spring) 17 LFF and FFL: CCE (Cognitive Chrono-Ethnography) Lite Study Case Measurement Modeling Design/ Pre-evaluation Application/ Intervention Ethnography in a hotel (CCE Lite) [17] Trajectories of employees, Real environments, Interviews 3D Indoor environments, Skills N/A N/A
  20. 20. National Institute of Advanced Industrial Science and Technology • The concept of Lab-Forming Fields (LFF) and Field-Forming Labs (FFL) was introduced. • AI technologies: Combine big data with deep data for constructing models of real service fields consisting of customers, providers, and environments. 18 Conclusions
  21. 21. National Institute of Advanced Industrial Science and Technology • How to develop strategy for gathering Pier data, especially deep data, efficiently • How to deepen big data • How to utilize pier data for better understanding the real service fields towards service improvement and innovation 19 Future Works Lab-Forming Fields (LFF) Field-Forming Labs (FFL) Deep Data Big Data Pier Data
  22. 22. National Institute of Advanced Industrial Science and Technology Service operations Supplemental note Taking orders At tables, Using a handy device Serving food or drink At tables Moving and carrying something Mainly in aisles Accounting At cash registers or tables Greeting and offering guests to the table From the entrance or elevator to the table Cleaning up and setting tables Including preparation for parties Dialogue with guests Mainly in aisles or at tables Dialogue with other staff Mainly in the pantry or kitchen Taking orders Serving food or drink Handy device Cleaning up Setting tables SOE: Service Operation Estimation Service operations of serving staffs
  23. 23. National Institute of Advanced Industrial Science and Technology Efficient interactive label attaching for supervised Service Operation Estimation 21 t AmountofSO Expected amount of SO t AmountofSOlabels Gathered SO labels
  24. 24. National Institute of Advanced Industrial Science and Technology • How to develop strategy for gathering Pier data, especially deep data, efficiently • How to deepen big data • How to utilize pier data for better understanding the real service fields towards service improvement and innovation 22 Future Works Lab-Forming Fields (LFF) Field-Forming Labs (FFL) Deep Data Pier Data Pier Data Big Data
  25. 25. National Institute of Advanced Industrial Science and Technology 23 LFF/FFL: Whole-body posture estimation and precise positioning Embedded into work clothes
  26. 26. National Institute of Advanced Industrial Science and Technology • How to develop strategy for gathering Pier data, especially deep data, efficiently • How to deepen big data • How to utilize pier data for better understanding the real service fields towards service improvement and innovation 24 Future Works Lab-Forming Fields (LFF) Field-Forming Labs (FFL) Deep Data Pier Data Big Data Thank you! Takeshi Kurata t.kurata@aist.go.jp

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