Article

Towards improving trust in context-aware systems by displaying system confidence

Authors:

Stavros Antifakos,

Nicky Kern,

Bernt Schiele,

Adrian SchwaningerAuthors Info & Claims

MobileHCI '05: Proceedings of the 7th international conference on Human computer interaction with mobile devices & services

Pages 9 - 14

https://doi.org/10.1145/1085777.1085780

Published: 19 September 2005 Publication History

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Abstract

For automatic or context-aware systems a major issue is user trust, which is to a large extent determined by system reliability. For systems based on sensor input which are inherently uncertain or even uncomplete there is little hope that they will ever be perfectly reliable. In this paper we test the hypothesis if explicitly displaying the current confidence of the system increases the usability of such systems. For the example of a context-aware mobile phone, the experiments show that displaying confidence information increases the user's trust in the system.

References

[1]

S. Banbury, S. Seldcon, M. Endsley, T. Gordon, and K. Tatlock. Being certain about uncertainty: How the representation of system reliability affects pilot decision making. In Proc. Human Factors and Ergonomics Society 42nd Annual Meeting, 1998.

Crossref

Google Scholar

[2]

V. Bellotti and K. Edwards. Intelligibility and accountability: Human considerations in context-aware systems. Human-Computer Interaction, 16(2):193--212, 2001.

Digital Library

Google Scholar

[3]

C. Bubb-Lewis and M. Scerbo. Getting to know you: Human-computer communicationin adaptive automation. In M. Mouloua and J. Koonce, editors, Human-Automation Interaction: Research and Practice. Erlbaum Associates, 1997.

Google Scholar

[4]

M. Chalmers and I. MacColl. Seamful and seamless design in ubiquitous computing. In Workshop: At the Crossroads: The Interaction of HCI and Systems Issues in Ubicomp, 2003.

Google Scholar

[5]

P. de Vries, C. Midden, and D. Bouwhuis. The effects of errors on system trust, self-confidence, and the allocation of control in route planning. International Journal of Human-Computer Studies, 58(6):719--736, 2003.

Digital Library

Google Scholar

[6]

M. Dzindolet, S. Peterson, R. Plmranky, L. Pierce, and H. Beck. The role of trust in automation reliance. International Journal of Human-Computer Studies, 58(6):697--718, 2003.

Digital Library

Google Scholar

[7]

M. Eidelkind and S. Papantonopoulos. Operator trust and task delegation: Strategies in semi-autonomous agent systems. In M. Mouloua and J. Koonce, editors, Human-Automation Interaction: Research and Practice. Erlbaum Associates, 1997.

Google Scholar

[8]

J. Fogarty, S. E. Hudson, and J. Lai. Examining the robustness of sensor-based statistical models of human interruptability. In Proc. ACM CHI, pages 207--214, 2004.

Digital Library

Google Scholar

[9]

K. Gempler and C. Wickens. Display of predictor reliability on a cockpit display of traffic information. Technical Report ARL-98-6/Rockwell-98-1, Aviation Research Lab, Institute of Aviation, University of Illinois, 1998.

Google Scholar

[10]

S. Greenberg. Context as a dynamic construct. Human-Computer Interaction, 16(2):257--268, 2001.

Digital Library

Google Scholar

[11]

E. Horvitz. Principles of mixed-initiative user interfaces. In Proc. CHI, pages 159--166, 1999.

Digital Library

Google Scholar

[12]

E. Horvitz and M. Barry. Display of information for time--critical decision making. In Proc. 11th Conf. on Uncertainty in Artificial Intelligence, pages 296--305. Morgan Kaufmann, 1995.

Digital Library

Google Scholar

[13]

N. Kern, S. Antifakos, B. Schiele, and A. Schwaninger. A model of human interruptability: Experimental evaluation and automatic estimation from wearable sensors. In Proc. ISWC, pages 158--165, Washington DC, USA, Nov 2004.

Digital Library

Google Scholar

[14]

N. Kern and B. Schiele. Context--aware notfication for wearable computing. In Proc. ISWC, pages 223--230, White Plains, NY, USA, October 2003.

Digital Library

Google Scholar

[15]

P. Maes. Agents that reduce work and information overload. Communications of the ACM, 37:30--40, 1994.

Digital Library

Google Scholar

[16]

J. Mankoff, S. Hudson, and G. Abowd. Interaction techniques for ambiguity resolution in recognition-based interfaces. In Proc. UIST, 2000.

Digital Library

Google Scholar

[17]

B. Muir. Trust in automation: Part i. theoretical issues in the study of trust and human intervention in automated systems. Ergonomics, 37(11):1905--1922, 1994.

Crossref

Google Scholar

[18]

A. Newberger and A. Dey. System support for context monitoring and control. In Workshop: At the Crossroads: The Interaction of HCI and Systems Issues in Ubicomp, 2003.

Google Scholar

[19]

D. Nicholls, V. Barsotti, P. Battino, P. Marti, and S. Pozzi. Presenting uncertainty to pilots and controllers. In 5th Intern. Seminar on ATM, FAA, and EuroControl, 2003.

Google Scholar

[20]

E. Oztop, D. Wolpert, and M. Kawato. Mental state inference using visual control parameters. Cognitive Brain Research, (22):129--151, 2005.

Google Scholar

[21]

R. Parasuraman. Human use and abuse of automation. In M. Mouloua and J. Koonce, editors, Human-Automation Interaction: Research and Practice. Erlbaum Associates, 1997.

Google Scholar

[22]

D. Patterson, L. Liao, D. Fox, and H. Kautz. Inferring high-level behaviour from low-level sensors. In Proc. UbiComp, 2003.

Crossref

Google Scholar

[23]

I. Poupyrev, S. Maruyama, and J. Rekimoto. Ambient touch: Designing tactile interfaces for handheld devices. In Proc. UIST, 2002.

Digital Library

Google Scholar

[24]

N. Sawhney and C. Schmandt. Nomadic radio: speech and audio interaction for contextual messaging in nomadic environments. ACM Transactions on Computer-Human Interaction, 7(3):353--383, 2000.

Digital Library

Google Scholar

[25]

T. Sheridan. Computer control and human alienation. In Technology Review, pages 61--73, 1980.

Google Scholar

[26]

S. Tiernan, E. Cutrell, and M. Czerwinski. Effective notification systems depend on user trust. In Proc. Human-Computer Interaction - Interact, pages 684--685, 2001.

Google Scholar

[27]

J. Williamson and R. Murray-Smith. Sonification of probabilistic feedback through granular synthesis. IEEE Multimedia, 12(2):45--52, April/June 2005.

Digital Library

Google Scholar

[28]

C. Wisneski. The design of personal ambient displays. Master's thesis, MIT, 1999. Thesis Proposal M.Sc.

Google Scholar

Cited By

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Hinrichs MBui TSchneegass S(2024)Exploring the Effects of User Input and Decision Criteria Control on Trust in a Decision Support Tool for Spare Parts Inventory ManagementProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701585(313-323)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701585
Khojah RMohamad MLeitner Pde Oliveira Neto F(2024)Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering PracticeProceedings of the ACM on Software Engineering10.1145/36607881:FSE(1819-1840)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3660788
Qian XWang TXu XJonker TTodi K(2024)Fast-Forward Reality: Authoring Error-Free Context-Aware Policies with Real-Time Unit Tests in Extended RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642158(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642158
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Index Terms

Towards improving trust in context-aware systems by displaying system confidence
1. Human-centered computing
  1. Human computer interaction (HCI)

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Reviews

Reviewer: Claudiu Popescu

Ubiquitous computing, also called pervasive computing, refers to the usage of embedded computers (such as cellular phones) in various places. Context-aware computing is about providing services that are appropriate to a particular user, place, and time. For example, a cellular phone will always vibrate and never beep during a concert, if the system can know the location of the user and the concert schedule. This type of service brings privacy problems, and leads to questions about the trust and risk involved in interactions between users. This research contribution discusses the improvement of trust in context-aware systems. It is addressed to researchers or students who know the domain well. The authors describe an experiment regarding the effect of displaying system confidence. The main result is that users adapt to the system if the system confidence is displayed. Various aspects of context-aware computing are discussed, with references to numerous papers (there are 28 listed in the references section). At the end of the paper, conclusions and further research directions are outlined. The paper covers an interesting area, and makes some complex contributions. However, I wish the description of the field and the importance of this research were explained with more clarity. Nevertheless, this paper is a valuable scientific contribution. Online Computing Reviews Service

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Published In

MobileHCI '05: Proceedings of the 7th international conference on Human computer interaction with mobile devices & services

September 2005

400 pages

ISBN:1595930892

DOI:10.1145/1085777

General Chair:
Manfred Tscheligi
University of Salzburg, Austria
,
Program Chairs:
Regina Bernhaupt
University of Salzburg, Austria
,
Kristijan Mihalic
University of Salzburg, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 19 September 2005

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MobileHCI05

MobileHCI05: 7th International Conference on Human-Computer Interaction with Mobile Devices and Services

September 19 - 22, 2005

Salzburg, Austria

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Overall Acceptance Rate 202 of 906 submissions, 22%

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Hinrichs MBui TSchneegass S(2024)Exploring the Effects of User Input and Decision Criteria Control on Trust in a Decision Support Tool for Spare Parts Inventory ManagementProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701585(313-323)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701585
Khojah RMohamad MLeitner Pde Oliveira Neto F(2024)Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering PracticeProceedings of the ACM on Software Engineering10.1145/36607881:FSE(1819-1840)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3660788
Qian XWang TXu XJonker TTodi K(2024)Fast-Forward Reality: Authoring Error-Free Context-Aware Policies with Real-Time Unit Tests in Extended RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642158(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642158
Wang HYu ZYue YAnandkumar ALiu AYan JElkind E(2023)Learning calibrated uncertainties for domain shiftProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence10.24963/ijcai.2023/162(1460-1469)Online publication date: 19-Aug-2023
https://dl.acm.org/doi/10.24963/ijcai.2023/162
Xu XYu AJonker TTodi KLu FQian XEvangelista Belo JWang TLi MMun AWu TShen JZhang TKokhlikyan NWang FSorenson PKim SBenko H(2023)XAIR: A Framework of Explainable AI in Augmented RealityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581500(1-30)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581500
Lu FXu YXu XJones BMalamed L(2023)Exploring the Impact of User and System Factors on Human-AI Interactions in Head-Worn Displays2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR59233.2023.00025(109-118)Online publication date: 16-Oct-2023
https://doi.org/10.1109/ISMAR59233.2023.00025
Subramanian HCanfield CShank DKinnison M(2023)Combining uncertainty information with AI recommendations supports calibration with domain knowledgeJournal of Risk Research10.1080/13669877.2023.225940626:10(1137-1152)Online publication date: 13-Oct-2023
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Narayanan DNagpal MMcGuire JSchweitzer SDe Cremer D(2023)Fairness Perceptions of Artificial Intelligence: A Review and Path ForwardInternational Journal of Human–Computer Interaction10.1080/10447318.2023.221089040:1(4-23)Online publication date: 26-May-2023
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Sargent RWalters BWickens C(2023)Meta-analysis Qualifying and Quantifying the Benefits of Automation Transparency to Enhance Models of Human PerformanceHuman-Computer Interaction10.1007/978-3-031-35596-7_16(243-261)Online publication date: 9-Jul-2023
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Weyer JCepera K(2022)Vertrauen in digitale Technik. Der Einfluss mobiler Apps auf die Bereitschaft zur VerhaltensänderungZeitschrift für Soziologie10.1515/zfsoz-2021-002850:6(373-395)Online publication date: 29-Mar-2022
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An interoperable context sensitive model of trust

Examining Mobile Banking User Trust: A Tripartite Perspective

National culture and consumer trust in e-commerce

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