Physiological bases of behavior: attention, memory, thinking, consciousness.
Physiological signals and patients' information behavior
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Transcript of Physiological signals and patients' information behavior
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Physiological signals & patients’ information
behavior
Zhaopeng XingMaster of Professional Science
CandidateNOV 30, 2016
Health Informatics Seminar Final Presentation
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Sensor-Based Data Collection for Personal, Clinical, and Public Health (Robert Furberg)
The validity and reliability of consumers’ activity trackers
Physiological signal detection and processing Integration of heterogeneous data
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Heart Rate Electrodermal activity (EDA)
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Queries formulating, relevance assessment Participant’s self-report and researcher’s
observation
Information searching behavior
Psychological signals?
Affective, cognitive and psychological perspectives
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• Can eyes reveal interest? Implicit queries from gaze patterns (Ajanki, A., 2009)
• Affective Signals as Implicit Indicators of Information Relevancy and Information Processing Strategies (Gonzalez-Ibañez, R. I., 2015)
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Can eyes reveal interest? Implicit queries from gaze patterns (Ajanki, A., 2009)• Using eye movement to formulate queries and predict
the relevance of content
Results: Eye movements provide a useful implicit feedback channel of content relevance
• One’s eye movement pattern is consistent when seeing relevant content in a certain domain
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Affective Signals as Implicit Indicators of Information Relevancy and Information Processing Strategies (Gonzalez-Ibañez, R. I., 2015)Use feelings, facial expressions, and electrodermal activity (EDA) to determine the influence of affective states on : • Searchers process information• Relevance judgments• Completion of search tasks
Results: Smiles and EDA can be implicit indicators of progress and completion of search tasks
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Implication: Medical search engine
Hospital information websitePatient education system Digital health application
……
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Thanks
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Reference Ajanki, A., Hardoon, D. R., Kaski, S., Puolamäki, K., & Shawe-Taylor,
J. (2009). Can eyes reveal interest? Implicit queries from gaze patterns. User Modeling and User-Adapted Interaction, 19(4), 307-339.
Cline, R. J., & Haynes, K. M. (2001). Consumer health information seeking on the Internet: the state of the art. Health education research, 16(6), 671-692.
Gonzalez-Ibañez, R. I., & Shah, C. (2015). Affective Signals as Implicit Indicators of Information Relevancy and Information Processing Strategies. iConference 2015 Proceedings.
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McMullan, M. (2006). Patients using the Internet to obtain health information: how this affects the patient–health professional
relationship. Patient education and counseling, 63(1), 24-28.
O'Brien, H. L., Gwizdka, J., Lopatovska, I., & Mostafa, J. (2015). Psycho- physiological Methods in Information Science: Fit or Fad?. iConference 2015 Proceedings.
Reference (Cont.)
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Further reading Hardoon, D.R., Ajanki, A., Puolamaki, K., Shawe-Taylor, J., Kaski, S.: Information retrieval
by inferring implicit queries from eye retrieval by inferring implicit queries from eyemovements. In: 11th Intelligence and Statistics. San Juan. Electronic proceedings at http://www.stat.umn.edu/~aistat/proceedings/start.htm (2007)
Howard, D.L., Crosby, M.E.: Snapshots from the eye: towards strategies for viewing biblographic citations. In: Savendy, G., Smith, M.J. (eds.) Human-Computer Interaction: Software and Hardware Interfaces, pp. 488–493. Elsevier, Amsterdam (1993)
Ghaddar, S. F., Valerio, M. A., Garcia, C. M., & Hansen, L. (2012). Adolescent health literacy: the importance of credible sources for online health information. Journal of school health, 82(1), 28-36.
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Metzger, M. J. (2007). Making sense of credibility on the Web: Models for evaluatingonline information and recommendations for future research. Journal of the
American Society for Information Science and Technology, 58(13), 2078-2091.
Miller, L. M. S., & Bell, R. A. (2012). Online Health Information Seeking The Influence of Age, Information Trustworthiness, and Search Challenges. Journal of aging and health, 24(3), 525-541.
Salojärvi, J., Puolamäki, K., Simola, J., Kovanen, L., Kojo, I. Kaski, S.: Inferring relevance from eye movements: feature extraction. Technical Report A82, Helsinki University of Technology, Publications in Computer and Information Science. http://www.cis.hut.fi/eyechallenge2005/ (2005b)
Further reading (Cont.)