Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)最新文献
{"title":"Studying media usage in the living room by measuring infrared signals","authors":"T. Mirlacher, T. Fischer, R. Bernhaupt","doi":"10.1145/1931344.1931375","DOIUrl":"https://doi.org/10.1145/1931344.1931375","url":null,"abstract":"While HCI field studies are traditionally undertaken by using tools from social sciences, this paper describes a complementary method for studying media usage in the living room. It provides a first step for blurring the boundary between lab and field-test studies for media usage in living room.\u0000 We constructed a device that measures and records the distinct infrared (IR) patterns of the remote controls used in the living room to interact with media devices. These recordings are later used to deduct usage patterns across media devices.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"50 1","pages":"31:1-31:3"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79178107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Voynarovskaya, Roman D. Gorbunov, E. Barakova, G.W.M. Rauterberg
{"title":"Automatic mental heath assistant: monitoring and measuring nonverbal behavior of the crew during long-term missions","authors":"N. Voynarovskaya, Roman D. Gorbunov, E. Barakova, G.W.M. Rauterberg","doi":"10.1145/1931344.1931376","DOIUrl":"https://doi.org/10.1145/1931344.1931376","url":null,"abstract":"This paper presents a method for monitoring the mental state of small isolated crews during long-term missions (such as space mission, polar expeditions, submarine crews, meteorological stations, and etc.) The research is done as a part of Automatic Mental Health Assistant (AMHA) project which aims to develop set of techniques for automatic measuring of intra- and inter- personal states in working groups. The method is focused on those aspects of psychological and sociological states that are crucial for the performance of the crew. In particular, we focus on measuring of emotional stress, initial signs of conflicts, trust, and ability to collaborate. The present research is performed in collaboration with MARS-500 experiment in which a small group of people is isolated for a long period of time. The MARS-500 experiment, in this way, provides a unique platform for study of human-human interaction. The confinement study will imitate all key peculiarities expected to be present during future missions to Mars (i.e. ultra long duration flight, need for autonomy, complicated communication with a digital communication center due to signal delay, and limited stock of expendables). The developed method is also currently tested by usage of a web-based platform.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"6 1","pages":"32:1-32:5"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84406841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating multimodal human-robot interaction: a case study of an early humanoid prototype","authors":"G. K. Jonsson, K. Thórisson","doi":"10.1145/1931344.1931353","DOIUrl":"https://doi.org/10.1145/1931344.1931353","url":null,"abstract":"Multimodal natural behavior of humans presents a complex yet highly coordinated set of interacting processes. Providing robots with such interactive skills is a challenging and worthy goal and numerous such efforts are currently underway; evaluating the progress in this direction, however, continues to be a challenge. General methods for measuring the performance of artificially intelligent systems would be of great benefit to the research community. In this paper we describe an approach to evaluating human-robot multimodal natural behavior. The approach is based on a detailed scoring and spatio-temporal analysis of the structure and patterning of live behavior, at multiple temporal scales, down to the decisecond level. The approach is tested in a case study involving an early virtual robot prototype, Gandalf, which is capable of real-time verbal and non-verbal interaction with people. Our analysis includes a comparison to a comparable human-human dyadic interaction scenario. Our main objective is to develop a methodology for comparing the quality and effectiveness of human-robot interaction between a wide variety of such systems. Early results indicate that our approach holds significant promise as a future methodology for evaluating complex systems that have a natural counterpart.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"70 1","pages":"9:1-9:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86904054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Krajewski, M. Golz, S. Schnieder, T. Schnupp, C. Heinze, D. Sommer
{"title":"Detecting fatigue from steering behaviour applying continuous wavelet transform","authors":"J. Krajewski, M. Golz, S. Schnieder, T. Schnupp, C. Heinze, D. Sommer","doi":"10.1145/1931344.1931368","DOIUrl":"https://doi.org/10.1145/1931344.1931368","url":null,"abstract":"The aim of this paper is to develop signal processing based method to measure fatigue from motor behaviour. The advantages of this steering wheel movement approach are that obtaining steering data within driving is robust, non obtrusive, free from sensor application and calibration efforts. Applying methods of continuous wavelet transform (CWT) provides additional information regarding the dynamics and structure of steering behavior comparing to the commonly applied spectral Fourier transform features.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"25 1","pages":"24:1-24:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77666556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Krajewski, D. Sommer, T. Schnupp, Tom Laufenberg, C. Heinze, M. Golz
{"title":"Applying nonlinear dynamics features for speech-based fatigue detection","authors":"J. Krajewski, D. Sommer, T. Schnupp, Tom Laufenberg, C. Heinze, M. Golz","doi":"10.1145/1931344.1931367","DOIUrl":"https://doi.org/10.1145/1931344.1931367","url":null,"abstract":"This paper describes a speech signal processing method to measure fatigue from speech. The advantages of this realtime approach are that obtaining speech data is non obtrusive, free from sensor application and calibration efforts. Applying methods of Non Linear Dynamics(NLD) provides additional information regarding the dynamics and structure of fatigue speech comparing to the commonly applied speech emotion recognition feature set (e.g. fundamental frequency, intensity, pause patterns, formants, cepstral coefficients). We achieved significant correlations between fatigue and NLD features of 0.29. The validity of this approach is briefly discussed by summarizing the empirical results of a sleep deprivation study.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"86 1","pages":"23:1-23:5"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76224948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measuring instant emotions during a self-assessment test: the use of FaceReader","authors":"V. Terzis, C. Moridis, A. Economides","doi":"10.1145/1931344.1931362","DOIUrl":"https://doi.org/10.1145/1931344.1931362","url":null,"abstract":"Emotions are very important during learning and self-assessment procedures. Measuring emotions is a very demanding task. Several tools have been developed and used for this purpose. In this paper we evaluate the efficiency of the FaceReader during a self - assessment test. We compared instant measurements of the FaceReader with the researchers' estimations regarding students' emotions. The observations took place in a properly designed room in real time. Statistical analysis showed that there are some differences between FaceReader's and researchers' estimations regarding Disgusted and Angry emotions. Generally, results showed that FaceReader is capable of measuring emotions with an efficacy of over 87% during a self-assessment test, and that it could be successfully integrated into a computer-aided learning system for the purpose of affect recognition. Moreover, this study provides useful results for the emotional states of students during self-assessment tests and learning procedures.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"81 1","pages":"18:1-18:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75841908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Veronika Egger, Helmut Schrom-Feiertag, Lisa Ehrenstrasser, Gregory Telepak
{"title":"Creating a richer data source for 3D pedestrian flow simulations in public transport","authors":"Veronika Egger, Helmut Schrom-Feiertag, Lisa Ehrenstrasser, Gregory Telepak","doi":"10.1145/1931344.1931364","DOIUrl":"https://doi.org/10.1145/1931344.1931364","url":null,"abstract":"The distribution of passenger flows in public transport environments can be predicted through simulations of flow characteristics. The flow characteristics are usually based on average values, which do not include behavioural characteristics of people with mobility impairments such as wheelchair users, individuals with prams and small children, elderly people or people with sensory impairments. In the project at hand we gather data on orientation behaviour of these passenger groups through experience and task-related research. In a combination of methods -- video and audio recording, user centered scenario and task development, questionnaires, interviews and time-motion-event (TME) recording -- qualitative and quantitative data are generated. By linking qualitative information to quantitative measures a multi-dimensional description of the behaviour of individuals and user groups in a transport interchange emerges. It is expected that by comparing and contrasting the resulting behavioural measures to the average values currently used to represent passenger flows, the quality of simulations can be considerably enhanced.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"86 1","pages":"20:1-20:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72912458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A method for remote and semi-automatic usability evaluation of web-based applications through users behavior analysis","authors":"Ariel Vargas, Harold Weffers, H. V. Rocha","doi":"10.1145/1931344.1931363","DOIUrl":"https://doi.org/10.1145/1931344.1931363","url":null,"abstract":"In this paper we describe a method for evaluating the usability of web-based applications. Our method is based on remote and automatic capture and semi-automatic analysis of users behavior, in order to find usability problems in the applications' interfaces. The goal of our method is to allowan analysis of the way users actually interact with the evaluated interface. Through the analysis of users behavior is possible to find patterns of interaction. Analyzing the patterns found and comparing it to the expected behavior for the tasks performed by users, we can detect usability problems. In this paper we also briefly describe a first experiment with our method and some initial results that point to the potential of the method in performing remote and automatic usability evaluations.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"16 1","pages":"19:1-19:5"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82108037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visualizing group dynamics signals","authors":"E. Kuijpers, S. V. D. Elzen, H. Hambartsumyan","doi":"10.1145/1931344.1931351","DOIUrl":"https://doi.org/10.1145/1931344.1931351","url":null,"abstract":"The group dynamics visualizer is a solution to the problem healthcare workers are facing when working with social therapeutic groups. It is a well known problem that their reflection ability is affected negatively by the group dynamics. Healthcare workers become part of this groups dynamics and are no longer able to objectively observe and intervene. In this paper we describe the process of measuring group dynamics, a part of the 'group prevention plan'; more specific, giving feedback on the tension level of groups inside a psychiatric ward. A software application, 'group dynamics visualizer', is developed to measure and visualize the data. The visualization methods allow the user to quickly explore the data in order to find relations and abnormalities. This information is then used to prevent high-tension build up. Furthermore the software serves as an objective observation tool.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"437 1","pages":"7:1-7:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77011884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of eye tracking systems with one and three cameras","authors":"Christer Ahlström, T. Dukic","doi":"10.1145/1931344.1931347","DOIUrl":"https://doi.org/10.1145/1931344.1931347","url":null,"abstract":"When using eye movements to determine the state of a car driver it is important that the eye tracker is robust, unobtrusive, inexpensive and fully automatic. The objectives of this study are to compare the performance of a one-camera system with a three-camera system and to investigate if the accuracy and availability of the one-camera system is sufficient to monitor driver state. Data from 53 subjects were evaluated and the results indicate that there is not much difference between a single-camera system and a multi-camera system as long as the driver is looking straight ahead. However, with more peripheral gaze directions, the larger coverage that is provided by the additional cameras works in favour of the multi-camera system.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"219 1","pages":"3:1-3:4"},"PeriodicalIF":0.0,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79807088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}