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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCS, HIP, HI-SIGCOASTER [detail] | 2022-05-16 09:20 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Cognitive Performance and Workload prediction for older adults using eye information in car driving Minoru Nakayama (Tokyo Tech.), Chayn Sun (RMIT Univ.), Jianhong Xia (Curtin Univ.)  HCS2022-23 HIP2022-23 |
Prediction possibility for scores of cogonitive ability and mental workloads was examined using metrics of oculo-motor... [more] |
HCS2022-23 HIP2022-23 pp.112-117 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2022-05-16 09:40 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Temporal change of cognitive workload using features of eye movement Tomomi Okano, Minoru Nakayama (Tokyo Tech.) HCS2022-24 HIP2022-24 |
Both micro saccade and pupil response are often used as an index for mental and cognitive workload. Some evoked factor... [more] |
HCS2022-24 HIP2022-24 pp.118-123 |
| ET | 2022-03-04 13:00 |
Online | Online | A lexical feature of essay reports responding to scores of critical thinking disposition Minoru Nakayama (Tokyo Tech.), Satoru Kikuchi, Hiroh Yamamoto (Shinshu Univ.) ET2021-64 |
Student's essay reports for developing critical thinking disposition (CTD) ability during a fully online course were l... [more] |
ET2021-64 pp.75-78 |
| MBE, NC (Joint) |
2022-03-03 09:55 |
Online | Online | Observation for symptom of dementia based on features of Pupil light reflex and participant's age Minoru Nakayama (Tokyo Tech.), Wioletta Nowak, Anna Zarowska (Wroclaw Univ. S&T) MBE2021-93 |
Pupil light reflex (PLR) were observed for elder subjects in order to examine an influence of stage of dimentia which wa... [more] | MBE2021-93 pp.25-30 |
| HIP, ITE-HI, ASJ-H, VRPSY [detail] | 2022-02-28 09:45 |
Online | Online | Estimation of speech emotional intensity model using impression ratings Megumi Kawase, Minoru Nakayama (Tokyo Tech) HIP2021-66 |
We used deep learning to estimate emotional intensity from speech. In our previous study, we considered emotional intens... [more] | HIP2021-66 pp.42-47 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Effects of Image Features and Task Complexity on Eye Movements during route search in Metro Maps Taiki Kodomaru, Minoru Nakayama (Tokyo Tech) |
In order to improve the readability of the metro map, it is necessary to analyze the reading of the metro map. A previou... [more] | |
| ET | 2021-11-06 11:05 |
Online | Online | Program code development performance estimation using a peer assessment technique Minoru Nakayama (Tokyo Tech.), Masaki Uto (UEC), Macro Temperini (Sapienza Univ.), Filippo Sciarrone (Roma Tre Univ.) ET2021-23 |
Peer assessment data in open answer session of programming language practices were analyzed with the item response the... [more] |
ET2021-23 pp.7-12 |
| HIP | 2021-10-21 10:35 |
Online | Online | Estimations of emotional impression for emotion-evoking pictures using eye information Minoru Nakayama (Tokyo Tech.) HIP2021-31 |
Regression predicted ratings of valence and arousal for presented images were evaluated using relationships between ocul... [more] | HIP2021-31 pp.7-12 |
| ET | 2021-09-10 13:15 |
Online | Online | Predicting Code Reading Test Answers by Using Eye Movement Features YUE YAN, Minoru Nakayama (Tokyo Tech) ET2021-11 |
Code reading comprehension progress has been shown to distribute in the eye movement data, which makes predict the code ... [more] | ET2021-11 pp.17-22 |
| ET | 2021-09-10 13:40 |
Online | Online | Relationship between student's characteristics and features of their essay reports Minoru Nakayama (Tokyo Tech.), Satoru Kikuchi, Hiroh Yamamoto (Shinshu Univ.) ET2021-12 |
Possibility of evaluation of critical thinking disposition (CTD) ability using lexical features of essay reports was exa... [more] | ET2021-12 pp.23-28 |
| IMQ, HIP | 2021-07-09 16:00 |
Online | Online | IMQ2021-5 HIP2021-20 |
To achieve emotional intensity estimation, we use segment-based estimation in which the utterance is divided into severa... [more] | IMQ2021-5 HIP2021-20 pp.17-22 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2021-05-24 15:50 |
Online | Online | Feasibility of evaluating temporal changes in cognitive load factors using ocular information Tomomi Okano, Minoru Nakayama (Tokyo Tech) HCS2021-9 HIP2021-9 |
In this paper, we have focused on microsaccade, pupil diameter and eye movements to discover the relationship between co... [more] | HCS2021-9 HIP2021-9 pp.44-49 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2021-05-24 16:15 |
Online | Online | Relationship between subjective evaluation of emotional images and pupillary reactions Jijika Murokawa, Minoru Nakayama (Tokyo Tech.) HCS2021-8 HIP2021-8 |
Relationships between emotion evoked images and pupil responses were analysed, and a possibility of estimation for impre... [more] | HCS2021-8 HIP2021-8 pp.38-43 |
| ET | 2021-03-06 12:30 |
Online | Online | Evaluation of Program Code Reading Behavior Using Eye Information Hiroto Harada, Minoru Nakayama (TokyoTech) ET2020-66 |
Since the code reading ability may reflect the characteristics of the eye response, the analysis of the eye information ... [more] | ET2020-66 pp.83-86 |
| NC, MBE (Joint) |
2021-03-04 15:25 |
Online | Online | Examination of measurement method and feature of biometrics identification with eye movement Yudai Niitsu, Minoru Nakayama (Tokyo Tech) MBE2020-49 |
Biometric identification using eye movement has been attracting attention as a highly secure identification method with ... [more] | MBE2020-49 pp.44-47 |
| NC, MBE (Joint) |
2021-03-04 15:50 |
Online | Online | A prediction of disease levels using ocular information during Dementia tests Wioletta Nowak (Wroclaw Univ. of S&T), Minoru Nakayama (Tokyo Tech), Elzbieta Trypka (Wroclaw Medical Univ.), Anna Zarowska (Wroclaw Univ. of S&T) MBE2020-50 |
Ocular information was observed during a dementia test for three subject’s groups: Alzheimer’s Disease (AD) patients, mi... [more] | MBE2020-50 pp.48-51 |
| HIP | 2020-12-23 10:00 |
Online | Online | Acoustic features of a Japanese speech corpus for emotion(al) intensity estimation Megumi Kawase, Minoru Nakayama (Tokyo Tech) HIP2020-64 |
ecently, there have been many studies on emotion estimation from non-linguistic speech data, but few studies on emotion ... [more] | HIP2020-64 pp.55-60 |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | Measuring cognitive load of Japanese synthetic speech mixed with noise using eye-movement analysis Mateusz Dubiel (UniStrath), Minoru Nakayama (Tokyo Tech.), Xin Wang (NII) |
We measured cognitive load of Japanese natural and synthetic speech mixed with noise using temporal changes in pupil s... [more] |
|
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | Eye movement prediction of drivers while driving baesd on deep neural network Yan Yue, Minoru Nakayama (Tokyo Tech), Chayn Sun (RMIT) |
We report on the a deep neural network trained on drivers’ fixation data vectors for prediction tasks. The fixation da... [more] |
|
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | The consideration of time characteristics in eye features during figure search tasks under mental workload Tomomi Okano, Minoru Nakayama (Tokyo Tech) |
In this paper, we have focused especially on pupil diameter to discover the relationship between mental workload. By usi... [more] | |
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