Integration of Experts' and Beginners' Machine Operation Experiences to Obtain a Detailed Task Model

Longfei CHEN; Yuichi NAKAMURA; Kazuaki KONDO; Dima DAMEN; Walterio MAYOL-CUEVAS

doi:10.1587/transinf.2019EDP7180

Integration of Experts' and Beginners' Machine Operation Experiences to Obtain a Detailed Task Model

Longfei CHEN, Yuichi NAKAMURA, Kazuaki KONDO, Dima DAMEN, Walterio MAYOL-CUEVAS

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We propose a novel framework for integrating beginners' machine operational experiences with those of experts' to obtain a detailed task model. Beginners can provide valuable information for operation guidance and task design; for example, from the operations that are easy or difficult for them, the mistakes they make, and the strategy they tend to choose. However, beginners' experiences often vary widely and are difficult to integrate directly. Thus, we consider an operational experience as a sequence of hand-machine interactions at hotspots. Then, a few experts' experiences and a sufficient number of beginners' experiences are unified using two aggregation steps that align and integrate sequences of interactions. We applied our method to more than 40 experiences of a sewing task. The results demonstrate good potential for modeling and obtaining important properties of the task.

Publication: IEICE TRANSACTIONS on Information Vol.E104-D No.1 pp.152-161

Publication Date: 2021/01/01

Publicized: 2020/10/02

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2019EDP7180

Type of Manuscript: PAPER

Category: Human-computer Interaction

Authors

Longfei CHEN
  Kyoto University
Yuichi NAKAMURA
  Kyoto University
Kazuaki KONDO
  Kyoto University
Dima DAMEN
  University of Bristol
Walterio MAYOL-CUEVAS
  University of Bristol

Keyword

egocentric vision, hotspots, gaze, dynamic alignment, task modeling, operation difficulty

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Longfei CHEN, Yuichi NAKAMURA, Kazuaki KONDO, Dima DAMEN, Walterio MAYOL-CUEVAS, "Integration of Experts' and Beginners' Machine Operation Experiences to Obtain a Detailed Task Model" in IEICE TRANSACTIONS on Information, vol. E104-D, no. 1, pp. 152-161, January 2021, doi: 10.1587/transinf.2019EDP7180.
Abstract: We propose a novel framework for integrating beginners' machine operational experiences with those of experts' to obtain a detailed task model. Beginners can provide valuable information for operation guidance and task design; for example, from the operations that are easy or difficult for them, the mistakes they make, and the strategy they tend to choose. However, beginners' experiences often vary widely and are difficult to integrate directly. Thus, we consider an operational experience as a sequence of hand-machine interactions at hotspots. Then, a few experts' experiences and a sufficient number of beginners' experiences are unified using two aggregation steps that align and integrate sequences of interactions. We applied our method to more than 40 experiences of a sewing task. The results demonstrate good potential for modeling and obtaining important properties of the task.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDP7180/_p

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@ARTICLE{e104-d_1_152,
author={Longfei CHEN, Yuichi NAKAMURA, Kazuaki KONDO, Dima DAMEN, Walterio MAYOL-CUEVAS, },
journal={IEICE TRANSACTIONS on Information},
title={Integration of Experts' and Beginners' Machine Operation Experiences to Obtain a Detailed Task Model},
year={2021},
volume={E104-D},
number={1},
pages={152-161},
abstract={We propose a novel framework for integrating beginners' machine operational experiences with those of experts' to obtain a detailed task model. Beginners can provide valuable information for operation guidance and task design; for example, from the operations that are easy or difficult for them, the mistakes they make, and the strategy they tend to choose. However, beginners' experiences often vary widely and are difficult to integrate directly. Thus, we consider an operational experience as a sequence of hand-machine interactions at hotspots. Then, a few experts' experiences and a sufficient number of beginners' experiences are unified using two aggregation steps that align and integrate sequences of interactions. We applied our method to more than 40 experiences of a sewing task. The results demonstrate good potential for modeling and obtaining important properties of the task.},
keywords={},
doi={10.1587/transinf.2019EDP7180},
ISSN={1745-1361},
month={January},}

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TY - JOUR
TI - Integration of Experts' and Beginners' Machine Operation Experiences to Obtain a Detailed Task Model
T2 - IEICE TRANSACTIONS on Information
SP - 152
EP - 161
AU - Longfei CHEN
AU - Yuichi NAKAMURA
AU - Kazuaki KONDO
AU - Dima DAMEN
AU - Walterio MAYOL-CUEVAS
PY - 2021
DO - 10.1587/transinf.2019EDP7180
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2021
AB - We propose a novel framework for integrating beginners' machine operational experiences with those of experts' to obtain a detailed task model. Beginners can provide valuable information for operation guidance and task design; for example, from the operations that are easy or difficult for them, the mistakes they make, and the strategy they tend to choose. However, beginners' experiences often vary widely and are difficult to integrate directly. Thus, we consider an operational experience as a sequence of hand-machine interactions at hotspots. Then, a few experts' experiences and a sufficient number of beginners' experiences are unified using two aggregation steps that align and integrate sequences of interactions. We applied our method to more than 40 experiences of a sewing task. The results demonstrate good potential for modeling and obtaining important properties of the task.
ER -