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HCI Project Ideas Discussion

HCI Project Ideas Discussion. By Bill Long. September 21, 2001. Discussion Overview. I will discuss 4 broadly defined ideas that fall within the Modeling and Appropriate Action components (of any situationaly aware system). Patterns and Routines The Perception of Annoyance

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HCI Project Ideas Discussion

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  1. HCI Project Ideas Discussion By Bill Long September 21, 2001

  2. Discussion Overview I will discuss 4 broadly defined ideas that fall within the Modeling and Appropriate Action components (of any situationaly aware system) • Patterns and Routines • The Perception of Annoyance • Progressive Alerts and Display Info • The Big Brother Effect? 01

  3. Patterns and Routines “The strong impact of social environments in shaping behavior and expectations allow us to identify categories of situations, as well as features and routines, from which we can begin model people’s tasks…” pg. 4 • Focus - mobile users (phone, Palm) • Goals - three (Modeling, Display, Sensing) • Kinds - general situations and specific audiences • Early “formative evaluation” stage of the study (pg. 11) 02

  4. General Situations Can we accurately predict appropriate interruption types based on social environment measures instead of task-specific or attention-specific measures? Situation Your cell phone resting on a table top, turned on, and is visible to others. Goals Modeling -Find the % of time it would be appropriate to ring compared to vibrate or automatic voicemail. Sensing - Categorize the situation (from a sensing perspective) Results Guidelines for appropriate interruption state / setting under certain patterns of conditions. 03

  5. Specific Audiences Can we accurately predict attention and task state by mapping job-defined routines? Situation A doctor, with a Palm, is entering new data into an application for patient records. Goals Modeling – The task and identifying / understand the situation Display – What information would be most valuable to the user under certain task stages (what should I show) Results A “weighted” list of for interruption information at identified task states Rules for predicting attention (based on job-defined routines / interactions with the device) 04

  6. The Perception of Annoyance How users / people come to perceive assistant agents (interruptions) as annoyances. Focus Microsoft Paperclip – A focused study of why Clippy failed Goal Identify the factors / norms that were broken and how they led to the the perception of annoyance. (to form guidelines) Sub-Goals How do the factors relate to one another The weight of each factor in the perception of annoyance What To Study Timing – The timing of the interruption within the framework of the task. Type in Info – How relevant is the information? How does that affect perception / trust? How Interrupted – Full Attention vs. Awareness, Different Graphical representations 05

  7. The Perception of Annoyance How users / people come to perceive assistant agents (interruptions) as annoyances. • Results • An understanding of the Microsoft Paperclip failure (History: Palm from Newton) • Guidelines / Rules for how not to implement a interruption assistant. • Timing – Modeling • Type of Info – Display • How Interrupted – Display & Interaction 06

  8. Progressive Alerts and Information Display How to effectively summarize information at different display stages. Situation “It uses noninvasive displays to summarize information about new messages, unread mail and upcoming meetings, taking care that the displays change slowly and do not otherwise attract attention.” pg. 1 Design Foci Type of Alert – (icon, kinetic type, text, sound, color) Type & Stage – which type is appropriate at each level ( is this determined by the information needed) Information Display – How do different summaries affect the meaning Possible Example How to effectively summarize email in a progressive alerts display 07

  9. Big Brother Effect? Can a system be too visually predictive for users? And how does the perception of the interruption / device change as the visual | non-visual proportion changes? Visual | Non-Visual Visual – these are in-your-face interruptions, summaries, etc. that require some level of attention / interaction Non-Visual – these are the behind-the-scenes adjustments based on the identified state of the user Foci Will the user’s perception of the system change as the system nears its ideal state (in the future)? Can a system be too perfect of a predictor for a user? Can a system be too visual? What is the visual threshold and which types of visual interruptions can be moved to non- visual? How does the visual | non-visual proportion affect the perception of the system / interruption? Can this be linked to metaphors for different proportion states? 08

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